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Protolabs·Netherlands

Be yourself at Protolabs Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams. Why Protolabs? We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home. Join our team as an Inside Sales Representative! The role of an Inside Sales Representative (ISR) at Protolabs involves managing a steady stream of transactional sales opportunities and orders specific to our CNC and 3D Printing service lines. This entry-level position is designed to support Protolabs' growth by effectively supporting customers through the sales processes, ensuring a smooth experience and driving business expansion. The ISR uses process-oriented approach to handle inside sales functions, with the primary responsibility of meeting and exceeding sales targets, customer acquisition goals and other company objectives. You Will Opportunity and Pipeline Management: Facilitate the progression of sales opportunities throughout the sales process, supporting design iterations and aligning with client buying requirements. Generating new opportunities, nurturing prospects, and engaging former contacts via different marketing events and or campaigns to maintain a dynamic sales pipeline. Evaluate and optimize performance by tracking metrics such as call outcomes, meeting scheduled, pipeline development, deals closed, and revenue growth to align with company objectives. Demand Generation/Lead Management: Support lead generation efforts completing sale activities to drive lead qualification and conversions Nurture prospects and engage former customers via different marketing events and or campaigns generating new sales opportunities. Prepare, conduct, and facilitate customer meetings and presentations to increase awareness, drive customer relationship to grow & retain business. Customer Engagement and Retention: Actively contribute to marketing events by driving awareness to Protolabs webinars, tradeshows, and other social/content engagements to enhance Protolabs' brand interaction and visibility. Conduct discovery calls to gain insights into customer needs, cultivating both new customer acquisition and existing relationships. Identifying and raising large or production sales opportunities to sales management in order to provide adequate support and resources ensuring positive customer outcomes. Operational and Administrative Responsibilities: Maintain effective communications with internal partners on customer projects within Protolabs Utilize CRM software and sales tools effectively for managing pipeline insights, prioritizing opportunities, and ensuring timely follow-ups for designated projects and new prospects. Support and respond to general sales inquiries received via different communication channels (sales inbox, online forms, chat assistants, etc.) Maintain customer information by documenting & tracking engagement and interactions within Customer Resource Management software application Perform other related duties as assigned by Sales Management. What It Takes Entry-level position; Typically has 0-2 years of experience.  Bachelor’s Degree or equivalent sales experience  Ability to prioritize tasks effectively, ensuring timely opportunity follow-up and closing of deals. Self-motivated and results-driven with a focus on achieving and exceeding sales goals and objectives Ability to build and sustain robust customer relationships to enhance satisfaction Exhibits Protolabs values: We are one team, We are kind, We are makers, We win or we learn, We take ownership Fluent in German desired What's In It For You! Our success is built on our people. We are committed to creating an environment where everyone feels empowered to be their authentic selves and do their best work. Alongside a supportive and inclusive culture, we offer a range of benefits designed to make work both rewarding and enjoyable: Annual company bonus – we celebrate success together and reward both individual contributions and overall business performance. Well-being support – access to OpenUp, providing professional psychological support to help you stay healthy and balanced. Daily lunch and snacks – shared meals in the office create space to connect, recharge, and strengthen collaboration. Learning & development opportunities – access to external training and events, as well as our in-house LEARN platform, offering a wide range of courses and workshops to support your growth. Regular team events and socials – fostering connection, collaboration, and a strong sense of community. Protolabs offers a competitive total rewards package, and compensation mix vary based on position, such as base wage, as well as other earnings including incentives and commissions. Actual pay offered will vary depending on multiple factors which may include, without limitation, job function, work experience, specialized skills, training, education, and certifications.

Protolabs·Netherlands

Be yourself at Protolabs Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams. Why Protolabs? We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home. Join our team as a Sales Intern! We are looking for an energetic Sales Intern to join our sales team in Amsterdam. As the Sales Intern you will reach out to brand new potential companies and work together with their engineering and purchasing teams to land the first deal! Top performing Sales Intern will have the opportunity to work their way up to become part of the Sales team within 3-6 months. Fluent in English is needed and Dutch would be valuable. What you'll do: Manage inbound request and support customer during the ordering process Work alongside the Business Development team in order to learn and apply outbound strategies in key industries/regions for Protolabs Work on specific projects to further develop the Protolabs value proposition Use sales tactics to support current and potential Protolabs customers What it takes: You have enrolled at a Dutch/EU university [OR: Dutch/ EU educational institution] as a 3rd/4th-year student for, an HBO, Bachelors or Master’s degree (ideally studying Mechanical Engineering, Industrial Engineering or similar) You’re driven for a career in sales Fluent in written and spoken English You’re an independent, confident, decisive risk-taker You’re looking for variety and challenge and will thrive in a faster-paced environment You’re motivated by recognition, and advancement and want to be rewarded for your success You use your confidence and communication skills to get the information you need from internal stakeholders Why Protolabs? Paid internship €600 gross per month A unique culture that cares about its employees and has built a place where people belong Everyone has the opportunity to make an impact from day one, in a high-paced culture to accelerate our growth as we scale! Our Hybrid policy is flexible with most employees working 1-2 days in the office per week You'll join a diverse, international team of 200+ people Everyone's a student and teacher with our Career Development Plan, Learning platform, Tech Talks, Hackathons, Tech and Product demos, and Innovation Sprints In-house chef (50% vegetarian) and Dog-friendly office Incredible office views in the Houthavens, Amsterdam

Samba TV·Netherlands

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. As a Junior Data Scientist at Samba in Amsterdam, you will own end-to-end delivery of significant data science projects with minimal guidance. You are a reliable, autonomous contributor with deep expertise in at least one of Samba's core domains — Identity and audience modelling and the technical range to build production-ready solutions using modern ML and AI methodologies. You'll work closely with peers, product, and engineering. What You'll Do: Own end-to-end delivery of significant data science projects from problem scoping and approach design through to production deployment Make sound, independently-reasoned decisions on methodology, model selection, and evaluation; document them clearly in technical solution documents covering problem statement, approach, metrics, and timeline Lead solution design for your own initiatives; break down complex epics into well-scoped user stories with clear acceptance criteria, adopting DataOps and MLOps best practices throughout — experiment tracking, pipeline orchestration, model monitoring, and reproducibility Implement advanced ML and AI-powered workflows including entity resolution, probabilistic record linkage, embedding-based matching, semantic similarity, and LLM-augmented pipelines Develop and maintain reusable tools, libraries, and documentation that improve team efficiency and technical standards; conduct code reviews with constructive, specific feedback that raises the bar Be a team player and collaborate with different teams. Collaborate cross-functionally with product, engineering, and operations — translate business requirements into technical specifications, partner with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups Who You Are:  Bachelor's degree required in Statistics, Data Science, Computer Science, Mathematics or a related quantitative field; Master's strongly preferred 2+ years of hands-on data science experience with demonstrated ability to own and deliver complex, multi-sprint projects independently Advanced Python (or any other programming language+Claude/Codex/any other) with production-quality code, testing, and documentation; strong SQL and PySpark for billion-row datasets Databricks (nice to have/learn for 2027) workflows, Delta Lake, and job orchestration; working knowledge of cloud platforms (AWS or GCP) Solid command of core ML — regression, classification, clustering, model evaluation, and experimental design — applied to complex, high-volume data (2 questions to level) Proficiency with MLOps practices: experiment tracking and reproducible model deployment Exposure to modern AI methodologies: RAG systems, LLM-augmented models, vector databases, and semantic search (showcase+examples) Strong communicator — able to translate technical work into clear documentation, user stories, and cross-functional conversations Demonstrated ability to mentor junior data scientists and contribute to team standards Team player Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Samba TV·Netherlands

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. We are hiring a Senior Data Scientist in Amsterdam to help shape Samba TV's data science function for the agentic era of advertising. You will define modeling methodology, build production ML systems, and apply modern AI and agentic capabilities across our data products. You bring 8+ years of experience, deep expertise in machine learning and modern AI, and the technical range to take methodology from research through production deployment. You are an active collaborator with engineering, product, and partner teams, and an advocate for rigorous, defensible modeling practice. What You'll Do Modeling and ML Development Own end-to-end delivery of data science projects, from problem scoping through production deployment. Define and ship modeling methodology that powers Samba's data products, including model selection, evaluation frameworks, and reproducibility standards. Apply solid command of core ML and statistics (regression, classification, clustering, model evaluation, experimental design, causal inference) to billion-row, real-world data. Build production-quality Python and PySpark on Databricks: well-tested, documented, reusable. Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable and production-ready. AI and Agentic Capabilities Build and operate advanced AI systems using modern methodologies: retrieval-augmented generation (RAG), LLM-augmented modeling and Graph Neural Networks. Design AI-driven modeling approaches that improve as signals evolve, supporting agentic decision-making at platform scale. Integrate LLMs and agentic workflows into production ML pipelines where they extend modeling capability and unlock new product surfaces. Technical Contribution and Collaboration Drive technical design for modeling components within your scope, producing clear solution documents covering problem statement, approach, metrics, and trade-offs. Translate business requirements into modeling solutions in close collaboration with product, engineering, and go-to-market partners. Uphold high standards for production-quality data science. Mentor data scientists on the team through structured feedback, pairing, and design review. MLOps and Production Practice Establish and operate MLOps practices: experiment tracking, pipeline orchestration (Airflow), model monitoring, retraining workflows, and reproducibility standards. Apply privacy-compliant data handling practices, including GDPR, CCPA, and Samba's data governance policies. Who You Are Required 8+ years of hands-on data science experience with a Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field (or 6+ years with a Master's, 3+ years with a PhD, or equivalent). Demonstrated ability to own and deliver complex, multi-sprint data science projects from problem scoping through production deployment. Solid command of core ML and statistics, including neural networks, regression, classification, clustering, model evaluation, experimental design, and causal inference, applied to billion-row datasets. Track record of building methodology, not just applying it: data analysis, model selection, evaluation frameworks, and solid documentation of decision processes Production experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, or equivalent) for retrieval, matching, or inference at scale. Advanced Python with production-quality, tested code; strong SQL and PySpark on billion-row datasets. Databricks, Delta Lake, and job orchestration (Airflow); hands-on production experience on AWS, GCP, and Databricks. MLOps proficiency: experiment tracking, pipeline orchestration, model monitoring, reproducible deployment. Experience designing and operating agentic AI systems in production: prompt engineering, agent orchestration, tool use, or integration of LLMs into ML pipelines. A clear communicator who translates technical work into design docs, user stories, and cross-functional conversations. An active mentor who invests in others, gives direct feedback, and raises the bar for the team as a whole. Preferred Knowledge graph design (RDF, OWL, SPARQL, or equivalent graph frameworks), Natural Language Processing, Background in ad tech, CTV/OTT, ACR, audience activation, identity resolution, or measurement methodologies. Experience with causal inference (A/B testing, synthetic control, uplift modeling). Base salary is just one component of Samba total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits. Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Samba TV·Netherlands

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. We are looking for a Staff Software Engineer to join our Identity team in Amsterdam. The Identity team builds and operates the core systems that power Samba cross-device identity resolution, data onboarding, and distribution capabilities, the foundational layer connecting data to advertisers, agencies, data partners, and internal product teams. You will architect and deliver large-scale, cloud-native data engineering systems that ingest, transform, and distribute identity-linked data at scale. You bring 12+ years of experience and operate as a technical authority, setting direction, resolving complex ambiguity, and shaping how Identity systems evolve to support Samba’s expanding product ecosystem. You are a subject matter expert recognized across the organization, drive cross-functional alignment, and are accountable for outcomes that span the Identity domain and broader product engineering. What You'll Do Design, build, and operate large-scale data pipelines for ingestion, transformation, and distribution of identity-linked data, setting the standard for reliability, accuracy, and extensibility across the domain. Architect ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, making and owning the key engineering decisions that shape how the team builds and scales. Design and build API-first, platform-grade services that expose Identity capabilities as self-service building blocks, with clear contracts, strong reliability, and ease of integration for internal teams and external clients. Define and implement observability, data quality validation, and monitoring frameworks to ensure pipeline health at scale. Drive performance optimization, cloud cost efficiency, and platform-thinking across Identity’s systems, ensuring components are reusable and enable downstream teams to build with confidence. Own the technical evolution of Identity’s core systems, including probabilistic and deterministic matching, device graph construction, and audience segmentation — driving their reliability, scalability, and long-term direction. Architect and implement secure data collaboration capabilities, including clean room workflows and privacy-preserving computation, embedding privacy-by-design across all system development with deep application of GDPR, CCPA, and Samba’s data governance policies. Set the technical direction for how Identity systems serve all downstream use cases, engaging product, data science, commercial, and partner stakeholders to ensure alignment and fit for purpose. Own technical design and architecture for Identity systems producing clear, decision-driven design documents, contributing to org-level architectural discussions, and driving alignment across engineering, product, and commercial stakeholders. Lead code and design reviews, champion high standards for code quality, testability, and maintainability, and drive formal alignment across teams on shared tooling and patterns. Mentor and invest in the growth of engineers across the Identity team through structured feedback, pairing, and design reviews, raising the bar for the team as a whole. Partner with the Engineering Manager and cross-functional leads on roadmap shaping, technical planning, and systemic risk resolution. Own the end-to-end reliability of Identity systems, lead incident response, drive post-mortem actions to closure, and deliver sustained improvements to system health. Define, monitor, and continuously improve SLAs, SLOs, and operational metrics for Identity pipelines and services. Drive maturity in CI/CD, deployment practices, and testing coverage across the team’s systems. Who You Are 12+ years of professional software engineering experience, with deep expertise in data engineering, backend systems, or distributed data infrastructure. Proven ability to own technical architecture end-to-end in a complex, production data environment, from design through delivery and operations. Strong command of Python and SQL; comfortable with JavaScript in full-stack or API contexts. Extensive hands-on experience with distributed processing frameworks (e.g., Spark, Databricks) operating on large-scale datasets in production. Solid experience with cloud platforms (AWS and/or GCP) and their core data services. Experience with workflow orchestration tools (Apache Airflow, dbt, Prefect, or equivalent).Strong familiarity with data warehousing and lakehouse architectures, including Snowflake. Experience building platform-grade, API-first systems that enable self-service by downstream consumers, internal teams or external clients. Deep understanding of data privacy regulations (GDPR, CCPA) with practical experience building privacy-compliant systems that handle PII at scale. Familiarity with secure data collaboration concepts, data clean rooms, privacy-preserving computation, or equivalent patterns. An exceptional communicator and cross-functional collaborator, able to write sharp technical designs, convey advanced information to diverse stakeholders, and drive alignment in ambiguous situations. A genuine mentor and coach who invests in the growth of others, gives direct feedback, and raises the bar for the team as a whole. Preferred Experience in ad tech, identity resolution, data licensing, or digital media, familiarity with device graphs, audience segmentation, or programmatic data flows. Experience with streaming data processing frameworks (e.g., Kafka, Flink, Spark Streaming).Experience incorporating AI and machine learning capabilities into production data workflows. Track record of cross-team technical leadership: architectural documentation, engineering standards, or mentorship programs. #LI-WD1 Base salary is just one component of Samba total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits. Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

RWS·Netherlands

We are looking for Legal Annotators to support the training and evaluation of AI capabilities for contract management platforms in Dutch. Job Type: Freelance Work Schedule: Part-time - 25+ flexible hours per week Start Date: Immediately Duration: End of October Rate: 36.45 USD/hour Help Shape the Future of Legal AI Are you a legal professional, contract specialist, or law graduate seeking flexible remote work? Are you interested in shaping the development and safety of advanced AI models designed to automate contract management and analysis? What You’ll Do: The role involves performing specialized legal data-related tasks across international business contracts, including: Multilingual legal-domain data collection, evaluation, and annotation. Analyzing clauses, obligations, and terms within complex business agreements. Participating in onboarding, calibration sessions, and targeted quality reviews. Collaborating on multi-use-case workflows within secure client environments. What We’re Looking For: Legal Expertise: Contract or legal domain expertise, with strong legal interpretation and contract-review skills (especially regarding international and cross-jurisdictional contracts). Language Proficiency: Fluency in English alongside the relevant target language. AI & Data Capabilities (Preferred): Prior data-annotation experience or familiarity with machine learning data evaluation and quality assurance tasks. What We Offer: Flexible schedule Opportunity to earn extra income Timely payments #LI-CAN17 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. #LI-PR15

WeTravel·Netherlands

Hi! 👋 I'm Chris, Director of Activation & Implementation at WeTravel. I have been focused on efficient activation & accurate implementation of software products for over the last decade supporting thousands of organizers. I am looking for an eager player coach to lead the growing solutions engineering team as we scale our services & support product development. We plan to be the one stop shop for multi day organizers and we know the right leader can help us accomplish our goal. You will own complex technical customer engagements end to end — designing and building integrations between WeTravel and third-party systems — while also leading and developing a small team of Sales Engineers and Technical Account Managers. This role spans both pre- and post-sale: from technical evaluation and solution design with high-value prospects, through to driving adoption and long-term implementation with existing customers. Long-term, this team may evolve into a dedicated Professional Services function. How we work You will sit within the Customer Experience organisation, reporting to the Implementation & Activation Director. On a day-to-day basis, you’ll work closely with Sales, Product, Account Management, Onboarding, and Engineering — acting as the clearest conduit between customer needs and the product roadmap. We move quickly, value clarity, and expect you to build the processes that help the team scale. You should apply if you Have 10-15 years of experience in solutions engineering, technical account management, implementation, or a related customer-facing technical role Are comfortable reading API documentation, troubleshooting integrations, and designing data flows between systems Have at least 5 year of experience managing, mentoring, or leading a technical or customer-facing team Enjoy leading technical discussions with both technical and non-technical stakeholders across pre- and post-sale contexts Are deeply familiar with integration tools like Zapier, and can design, troubleshoot, and optimise automated workflows Have strong project and programme management skills — you can scope, plan, and drive complex cross-functional initiatives Thrive in evolving environments and enjoy building structure where little exists You might not be the right fit if you Prefer a highly defined, stable scope with established processes already in place Are looking for a purely technical individual contributor role without team leadership responsibilities Are not comfortable owning customer relationships and leading technical conversations directly On a weekly basis you will find yourself Helping customers succeed Leading technical discovery, solution design, and demo presentations for high-value prospects and existing customers Providing hands-on support across integrations including Google Analytics, Zapier, QuickBooks, public APIs, webhooks, and complex inventory setups Acting as the escalation point for senior technical issues, and maintaining a clear prioritisation framework for the team’s work Leading and developing your team Managing, coaching, and growing a small team of Sales Engineers and Technical Account Managers through regular 1:1s, performance conversations, and career development planning Building team processes, playbooks, and onboarding resources that scale as the function grows Taking part in hiring and training as the team expands Working cross-functionally Partnering with Sales, Onboarding, Account Management, and Product to keep customer needs visible and well-represented Surfacing customer feedback to Product and Engineering, and helping prioritise with clarity Contributing to the definition of WeTravel’s Professional Services model as the team evolves Building process and strategy Defining and documenting the technical sales and implementation process for the team Building a library of reusable technical assets: demo environments, integration guides, and solution templates Tracking and reporting on key metrics: deal support coverage, implementation timelines, and technical CSAT     Benefits Attractive compensation Generous "Time to Recharge" policy — enjoy unlimited paid time off to rest, recharge, and show up as your best self. Beautiful office in central Amsterdam – rooftop garden and right by Rokin metro. Hybrid working: minimum 3 office days in Rokin, up to 2 remote days per week. Work remotely for a maximum of 4 weeks per calendar year. 2-week cross-functional onboarding program. Cycle-to-work scheme (Swapfiets subscription) or commuting reimbursement. Monday and Thursday lunches and after-work social events. Extensive paid family leave. Three paid volunteer days per year — take time to give back to causes you care about, on us. Cutting-edge equipment and tools to set you up for success. Join an international, travel-loving team with a passion for adventure and innovation. Employer-sponsored pension plan with a 2% employer contribution deposited into your individual pension account. Access to a 10% group discount on supplementary/additional health insurance (aanvullende verzekeringen), with the same discount available to eligible family members. Work authorisation For this role, we can only consider candidates who have the full legal right to work in the Netherlands (citizenship or residency). Unfortunately, WeTravel is not able to offer visa sponsorship or relocation assistance at this time. Equal Opportunities WeTravel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds, experiences, and perspectives. If you're excited about this opportunity and believe you're a good fit, we encourage you to apply and join us in transforming the travel industry!

WeTravel·Netherlands

Hi! 👋I’m Ayrton, based in Amsterdam. Working in software sales has shown me how meaningful this field can be when the environment supports real growth. Over the past few years, WeTravel has built strong momentum across Europe, with successful expansion across markets like the UK, Ireland and Italy. France is one of our next major growth opportunities, and I’m building a team to help us accelerate our presence in the market. This role combines Account Executive and Business Development responsibilities. You’ll have support and best practices to lean on, but you’ll also be expected to figure things out, test ideas and adapt quickly to shape the market If you’re motivated by learning, committed to reaching your personal income goals, and willing to bring sustained energy to your work, you’ll fit well here. It’s a remote role with potential for long-term growth. It won’t suit everyone. It suits people who want to build something meaningful through consistent, thoughtful work. How We Work At WeTravel, our Sales team combines autonomy with strong collaboration. As an Account Executive, you'll own the full sales cycle — from initial outreach and discovery calls to product demos, closing deals, and smoothly handing off to onboarding. We focus on understanding each client's unique needs and aligning our solutions to match. You won’t just sell — you’ll guide and support potential customers in discovering how WeTravel (products) can truly help their business thrive. We value proactive, solution-oriented individuals who aren’t afraid to take initiative, spot opportunities, and act on them. Our team moves fast, supports one another, and celebrates wins together — big and small. You’ll spend most of your time doing what actually moves the needle: prospecting, demoing, and following up with qualified leads. You Should Apply If You Are a native French speaker and fully proficient in English (required) Feel confident on the phone and comfortable with cold outreach Have strong communication and presentation skills Are passionate about helping small to mid-sized businesses grow Have some experience with inside sales via email and phone Have worked in B2B sales, ideally with small businesses Are familiar with CRM tools like HubSpot Bonus if you come from a hospitality or travel background and understand how tour operators think You Might Not Be The Right Fit If You   Don’t enjoy outbound sales or initiating contact with new prospects. Aren’t comfortable managing a full sales cycle independently. Struggle with organization or adapting to fast-changing priorities. On a Weekly Basis You Will Find Yourself   Prospecting and connecting with tour operators in France and Belgium Acting as a business developer — we’ll provide lead lists, but we’ll also count on you to source your own, gather market insights, and help us break into the France & Benelux region effectively Running engaging demos that clearly show the value of WeTravel Managing your pipeline in HubSpot and keeping deals moving forward Closing new business and ensuring a smooth handoff to our onboarding team Sharing market feedback with our product and marketing teams to shape what comes next Collaborating with a friendly, high-performing team that genuinely loves what they do Benefits   Attractive compensation - uncapped commission. Base Full-time Salary is 48,600 (EUR) (On Target Earnings: Year 1 OTE = EUR 95,000, Year 2 OTE = EUR 130,000) Minimum 4 days at office in Rokin, Amsterdam with flexibility of a work-from-home day a week Generous "Time to Recharge" policy — enjoy unlimited paid time off to rest, recharge, and show up as your best self. Our Work From Anywhere perk provides eligible employees with up to four weeks per calendar year to work temporarily from another approved location. 2-week cross-functional onboarding program. Cycle-to-work scheme (Swapfiets subscription) or commuting reimbursement. Monday and Thursday lunches and after-work social events. Beautiful office in central Amsterdam – rooftop garden and right by Rokin metro. Extensive paid family leave. Three paid volunteer days per year — take time to give back to causes you care about, on us. Cutting-edge equipment and tools to set you up for success. Join an international, travel-loving team with a passion for adventure and innovation. Employer-sponsored pension plan with a 2% employer contribution deposited into your individual pension account. Access to a 10% group discount on supplementary/additional health insurance (aanvullende verzekeringen), with the same discount available to eligible family members. Please Note   We can only consider candidates who have the full legal right to work in the Netherlands (citizenship or residency). Unfortunately, WeTravel is not able to offer visa sponsorship or relocation assistance at this time. Equal Opportunities WeTravel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds, experiences, and perspectives. If you're excited about this opportunity and believe you're a good fit, we encourage you to apply and join us in transforming the travel industry!

WeTravel·Netherlands

Hi! I’m Ivan 👋 Director of Platform & Infrastructure here at WeTravel. I joined WeTravel to help build a secure, reliable, and scalable IT environment as we grow. Our team’s mission is to empower every WeTravel employee with the tools and support they need to work efficiently, securely, and without friction — no matter where they are in the world. About WeTravel Think of the most incredible adventures imaginable: trekking to Machu Picchu, cycling through Tuscany, or going on a safari in Kenya. For years, the small businesses and local experts who run these trips have been stuck using messy spreadsheets, countless emails, and complicated payment methods. WeTravel is changing that. We build the tools that empower any entrepreneur to launch and grow their own travel business. Our platform makes it simple for organizers to create beautiful trip proposals, securely process payments, and manage their customers, so they can focus on what they do best: creating amazing experiences. This is one of the last great frontiers of travel to come online, and as the category leader, we are at the forefront of this change. Last year alone, our platform was trusted by 8,000 organizers to lead over a million travelers on adventures in 150+ countries. Now, we’re on an exciting journey to grow from powering $1B to $10B in travel experiences per year. We believe that every trip, when done right, can be a force for good - and we’re building the engine to make more of that possible.   What’s the role As a Senior Software Engineer focused on Developer Experience, you'll help make it fast and easy for WeTravel engineers to build, test, deploy, and operate software. You'll work on the internal platform and tooling used by our product engineering teams: CI/CD, developer environments, service tooling, deployment workflows, observability, and self-service infrastructure. Our goal is to remove unnecessary complexity from everyday development and provide paved roads that let engineers ship confidently without needing to understand every detail of the underlying infrastructure. You'll be part of the Platform team, so this isn't a tooling-only role. You'll also contribute to our AWS and Kubernetes infrastructure, reliability, and operational improvements. But your primary customers are our engineers, and your primary focus will be making their development experience better. What You’ll do day-to-day Developer Experience & Internal Tooling: Build and improve the tools and workflows engineers use every day. Identify friction in the development lifecycle and turn it into practical tooling, automation, and platform improvements. CI/CD & Developer Environments: Make it fast and reliable to build, test, and deploy software. Improve CI/CD pipelines, local development environments, test environments, and the path from writing code to running it in production. Self-Service & Paved Roads: Build reusable workflows, service templates, and platform capabilities that allow product teams to solve common problems without depending on the Platform team. Reduce cognitive load while keeping the underlying systems flexible. Reliability & Observability: Help engineers understand and operate their services in production. Improve observability, incident response, SLIs/SLOs, and the tooling that makes production issues easier to detect, debug, and resolve. Infrastructure & Cloud: Contribute to the AWS, Kubernetes, and Terraform foundations behind our platform. Improve scalability, security, cost efficiency, and multi-region readiness while keeping infrastructure easy for product engineers to consume. How we work We’re focused on the impact. We don’t subscribe to any one framework or execution ideology, and we adapt based on what’s impactful. We’re using the latest hardware and constantly on the look out for better tools & ways to work Stack: We’re using React/ReactNative/TypeScript + Ruby on Rails, Go and Python Microservices on Kubernetes. We also use and love MongoDB, MySQL, Postgres, Snowflake and we’re working with the major LLM providers. You should apply if you have Basic qualifications: 8+ years of software engineering experience, with a strong background in developer tooling, internal platforms, infrastructure, or related platform engineering. 2+ years of hands-on experience in a Developer Experience (DevEx) team, building internal tooling, platforms, and workflows for software engineers. Strong software engineering skills and experience building tools, services, automation, or platforms used by other engineers. Deep experience with CI/CD, containers, Kubernetes, cloud infrastructure, and Infrastructure-as-Code such as Terraform. A track record of identifying developer pain points and turning them into pragmatic tooling, automation, and self-service platform capabilities. Good understanding of production reliability, observability, and incident response. Excellent communication skills and a pragmatic, hands-on mindset with a bias toward action. Preferred qualifications Experience in a consumer facing industry Experience building or operating an Internal Developer Platform, developer portal, service catalog, or similar developer tooling. Experience with security and compliance requirements such as SOC 2 or PCI-DSS. Why join us? Direct impact on a product used by thousands of travel businesses worldwide. Remote-friendly culture with teams across Amsterdam, Baku, and the US. Benefits Competitive salary Generous "Time to Recharge" policy - enjoy unlimited paid time off to rest, recharge, and show up as your best self. Work remotely for a maximum of 4 weeks per calendar year. 2-week cross-functional onboarding program. Cycle-to-work scheme (Swapfiets subscription) or commuting reimbursement. Tuesday team lunches and after-work social events. Beautiful office in central Amsterdam - rooftop garden and right by Rokin metro. Extensive paid family leave. Three paid volunteer days per year - take time to give back to causes you care about, on us. Cutting-edge equipment and tools to set you up for success. Join an international, travel-loving team with a passion for adventure and innovation. Ready to build something meaningful? Apply now. Equal Opportunities WeTravel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds, experiences, and perspectives. If you're excited about this opportunity and believe you're a good fit, we encourage you to apply and join us in transforming the travel industry!

WeTravel·Netherlands

Hi! 👋 I'm Steven, Lead Product Manager at WeTravel I'm hiring a Staff PM to own Trips, the domain where every trip comes to life. Ten thousand travel businesses build, present, and sell their trips with WeTravel, from boutique agencies to student travel operators running hundreds of departures a year, which makes this both the surface their teams spend most of their working day in and the first thing their travelers ever see. You'll own it end to end: the trip page they sell with, and the content and AI engine that crafts it, and the content specialists who build our library, who will report to you. About WeTravel Travel gives people new experiences and brings them together, sometimes in life-changing ways. That's especially the case for group travel and multi-day travel (think of a 7-day safari in the Serengeti, a 5-day scuba diving trip in the Galápagos, or a multi-week pilgrimage) where travelers get to really immerse themselves. Passionate travel organizers make this magic happen, and WeTravel is here to support them. Multi-day travel businesses use WeTravel as their end-to-end operating system: publishing trip offerings, generating and converting leads, processing payments around the world, paying suppliers and vendors. WeTravel helps them grow sales, save time, and save money, so they can focus on delivering incredible bucket-list experiences. WeTravel is a 400+ person company representing more than 50 countries. We combine global diversity with the agility and closeness of a much smaller team. More than 90 colleagues are based in our Amsterdam office in Rokin, including the entire Product Org and most of our Engineering team. You will have fun innovating fast with brilliant, low-ego colleagues. Our clients are also easy to reach, which helps us stay close to their needs and build with them. Financially, WeTravel is highly secure and growing fast, with 50 to 100 percent year-over-year growth depending on the metric. This gives us a strong foundation to build from. About the Role This is the domain where our biggest bet is playing out. Building and selling a great multi-day trip is a lot of work: crafting a story worth booking, assembling the content that tells it, and presenting it all in a page a traveler trusts. Our goal is to cut that turnaround down so organizers get back to their client faster, convert more of them, and sell more trips. It also has to hold up as they grow, because a boutique agency selling bespoke trips and a student travel operator running hundreds of departures are building on the same tools. The way we get there is great technology in the hands of organizers and their teams. You will own that end to end, the experience and the engine behind it. What you'll work on WeTravel Trips give organizers the tools to create proposals, detailed itineraries and a high-conversion booking experience, while giving them time back to grow and operate their business. We're now looking for a Staff PM to take this domain through its next phase of growth, and make WeTravel the best software for travel businesses to build, present and sell their trips. Our success in this domain will drive the growth of our organizers by expanding in several areas: An integrated building experience that helps organizers find the right content and craft the right trip for the right travelers. Shared libraries that pay off most when a team works from them, so every proposal that leaves the company is consistent, beautiful, and unmistakably theirs, whoever wrote it. AI-enabled tools to imagine and create new trips, produce world class content, and optimize their sales funnel. Trip pages organizers can publish and promote wherever their travelers are. 1/ Designing the trip page and selling the trip Think of the trip page as the product detail page of the travel industry. It is where an organizer's work becomes something a traveler wants, understands, and buys. Dynamic Trip Builder: Intuitive tools for organizers to create their trip offerings, in the languages their travelers read, on WeTravel and beyond it. Day by day itineraries: the plan that makes a trip feel real before anyone has booked it, built fast and kept accurate as the trip changes. High converting pages and proposals: whether an organizer publishes a trip for the world or sends a tailored proposal to one client, the result has to look professional, capture travelers' imaginations, and turn interest into a booking. Mobile app for travelers: once they have booked, travelers carry the trip page in their pocket, with everything they need before and during it. 2/ The content and AI engine that turns hours of work into minutes WeTravel Library: a curated library of properties, activities, and reusable content on its way to 20,000 properties, so organizers build with high quality content. The organizer's own library: their photos, their descriptions, their reusable blocks, so a growing team sells in one voice instead of rewriting content from scratch. AI-assisted building: Copilot that drafts and improves trips inside the builder, so organizers start from a strong draft rather than an empty page. And the team behind it. Our content specialists will report to you, and you will own the content strategy, the regional prioritization, and the pipeline that keeps the library growing. I'm looking for an experienced, generalist product manager to lead this domain end-to-end. You will deeply study travel organizers' needs, prioritize them, come up with solutions (or hypotheses to test), drive all necessary functions to build and launch the solutions, drive adoption, and ultimately grow our revenue and profit. You will also manage our content team, and you will have direct and continuous access to C-level executives to ideate and create products. If you've ever wanted to empower businesses with innovative tech and have fun in a well-funded rocketship in the heart of Amsterdam, this is it. An Ideal Candidate The ideal candidate would bring a track record of exceptional results and a well-rounded product management skill set, especially the ability to break down any problem and drive high-velocity execution. Must-haves: Deep product management experience owning real outcomes, not just execution. 10+ years in product management is ideal (lead level) 7+ years is minimum (senior level) Travel industry knowledge. Comfortable being accountable for product-led commercial outcomes, not just features shipped. Strong cross-functional stakeholder leadership across sales / account management, engineering, design. Growth and experimentation mindset, with the judgment to decide without perfect data. Willing to ship, learn, and iterate. Data self-sufficient. You can pull your own numbers, find where a funnel leaks, and size the opportunity before asking for engineering time. Things that will likely help you in this particular role: You have owned a builder, editor or CMS-like product where the artifact your users create is what earns them money. You have shipped AI features that people kept using, and you can tell the difference between a good demo and real adoption. You have treated content as product, not as someone else's job, and have worked with or led a content operation. Experience with public APIs, webhooks, or platform work. Experience managing people, even a small team or a dotted line. Interview process Our process aims to be high-signal and help you learn about WeTravel and our people. Two interviews will be realistic working sessions. No take-home assignments. The whole process will take only a few weeks. Screen Recruiter screen (30 min): introduction, background, motivation. 1st round Hiring manager interview (60 min): your background in depth, the role, your questions. 2nd round Live whiteboard session (60 min, onsite): a real Trips decision worked through together, for example Trip page redesign, Copilot scope, or Library content prioritization. Assesses structured thinking, clear reasoning out loud, and product judgment under incomplete information. Team working session (45 min): with a Product Manager, an Engineering Manager, and a Designer: Working through your product management experience, plus a UX collaboration exercise. 3rd round CEO conversation (30 min): A two-way discussion about mission, ambition, and culture. A Final Note Our clients are entrepreneurs and artisans who pour their passion into creating bucket-list experiences. Helping them grow their businesses is what motivates us, and what would motivate the right PM for the Trips domain. If that resonates, I'd love to meet you. Steven Equal Opportunities WeTravel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds, experiences, and perspectives. If you're excited about this opportunity and believe you're a good fit, we encourage you to apply and join us in transforming the travel industry!

DataSnipper·Netherlands

Account Executive — New Business  Strategic | Enterprise | Mid-Market | SMB — Hiring Across All Segments  Step into a career-defining role.  DataSnipper is rewriting the playbook for audit and finance and we’re looking for ambitious Account Executives to fuel our next wave of growth. Following our recent $1B+ unicorn valuation and with over 600,000 users worldwide, we’re scaling fast. This is your chance to join a rocket ship and make an outsized impact.  You’ll own a territory and drive new logo acquisition - strategically identifying, engaging, and closing new business opportunities. You’ll become a trusted partner to finance leaders, coach clients on how to unlock value, and shape how audit and finance teams work across the globe.  This is not a role for order-takers. We need builders. People who thrive in high-growth, fast-paced environments and want to leave their mark as we scale from disruptor to global category leader.  About DataSnipper:  Audit and finance are still massively manual and we are changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we are taking things further with our Excel Agent, bringing AI directly into where the work actually happens. Unlike generic AI tools, we do not sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence, meaning it does not just generate answers, it does the work, with full traceability. We are not just applying AI, we are redefining how audit gets done. If you want to build something category-defining at scale, this is the place. What You’ll Do  Own and grow your territory, from pipeline generation to closing   Partner with BDRs on account planning and messaging  Land new logos and build strategic relationships with clients  Navigate complex sales cycles and influence senior decision-makers  Become a true product expert to challenge and guide prospects toward high-impact solutions  Optimize sales strategies and share market insights to fuel our growth engine  What You Bring  1–5+ years closing experience in software sales (aligned to segment)  Proven track record of hitting and exceeding targets  Executive-level communication and presentation skills  Entrepreneurial mindset and bias for action, comfortable in fast-moving, dynamic environments  A positive, “all-in” attitude, a collaborative spirit and hunger to win  Fluent in French and English What we offer Being part of one of the fastest-growing scale-ups in the Netherlands  Make an impact by disrupting the audit and finance industry with us  Uncapped commission + competitive base salary  28 vacation days on a full-time basis  Pension plan  Stock participation plan  Hybrid mode of work (at least 3 days onsite in our Amsterdam office)  A flexible and growing organization with lots of opportunities to learn and develop  International working environment, with a team of friendly and driven colleagues  Office in Amsterdam Noord with fresh, delicious lunch prepared daily by our chef  Access to OpenUp, the mental health and wellness platform  Friday drinks and multiple social activities for team building  If this sounds interesting to you, apply! We can’t wait to meet you!

DataSnipper·Netherlands

We are looking for a Solutions Engineer to join our high-performing EMEA Solutions Engineering team, focusing on our Southern European market. At DataSnipper, a “Solutions Engineer” is essentially a technical audit advisor. Your audit expertise is the core skill required - not programming or engineering. This is a critical, high-impact role that bridges advanced product capabilities with real customer use cases - from technical discovery and demo creation to pilots, solution validation, and strategic deal support. As a Solutions Engineer, you will play a pivotal role in shaping our presence, revenue growth, and long-term strategy in one of our most important markets globally. If you thrive in entrepreneurial, fast-scaling environments and want to directly influence the next phase of our hypergrowth, this role is for you. Why DataSnipper? Audit and finance are still massively manual — and we’re changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we’re taking things further with our Excel Agent — bringing AI directly into where the work actually happens. Unlike generic AI tools, we don’t sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence — meaning it doesn’t just generate answers, it does the work, with full traceability. We’re not just applying AI — we’re redefining how audit gets done. If you want to build something category-defining at scale, this is the place. What You Will Do Lead technical discovery aligned to customer pain points, audit workflows, and industry use cases. Create and deliver high-impact custom demos that address real audit/test procedures and highlight ROI. Run proof-of-value pilots with clear goals, timelines, and success measures. Validate technical feasibility, product fit, and use cases from both IA and EA perspectives. Become the primary technical voice for the Southern Europe market, representing regional needs, regulations, and customer insights. Provide continuous feedback to Product & Engineering on use cases and feature gaps. Collaborate with AEs and AMs to drive new revenue, upsell, and cross-sell across all customer segments — not only enterprise. Participate in all stages of the deal cycle, including discovery, demos, pilots, RFPs, and infosec questionnaires. Own CRM documentation, deal handovers, and solution fit validation. Take initiative in building new workflows, improving SE practices, and contributing to global SE initiatives. Serve as a trusted technical advisor influencing customer tech & AI strategy. What We're Looking For Deep understanding of audit practices: internal audit, external audit, controls testing, or financial advisory. Experience performing audit procedures, testing controls, or advising audit teams. Excellent Communication: professional fluency in English plus at least one Southern European language (French or Spanish preferred). Strong verbal and written communication skills with the ability to engage stakeholders at all levels. Ability to run technical conversations, identify customer pain points, map them to use cases, and communicate clearly with both technical and non-technical stakeholders. Strong documentation, discovery questioning, and ability to articulate complex concepts simply. Resilience and adaptability - thriving in undefined setups and evolving processes typical of scale-ups. Nice-to-haves Experience in Digital Transformation, Finance Transformation, Financial Advisory, or Internal Audit at large corporates. Exposure to technical pre-sales, technical consulting, or customer-facing technical roles (e.g., SE, Sales Engineer, Solutions Architect, Technical Account Manager). Familiarity with DataSnipper or audit automation tools. Success in this role means Turning complex customer challenges into powerful demo moments and pilots that accelerate decisions. Building business cases that speak to value, impact, and transformation — and get customers fully onboard. Playing a pivotal role in boosting win rates, growing deal sizes, and shaping our commercial success in one of DataSnipper’s most important regions. What We Offer Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact Equity (Stock Appreciation Rights) to share the company's success and growth Excellent salary package, competitive for top tech talent Pension plan with a 6% contribution on top of your base salary 28 vacation days per year (full-time) to support your work-life balance Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office Daily, freshly prepared lunches by our in-house chef to keep you energized NS card for easy commuting to the office Access to continuous learning and development initiatives to grow your skills Engage with a vibrant international team spread across five global offices Company-wide events like DataSnipper GO, where global teams come together Access to OpenUp, a mental health and wellness platform supporting your wellbeing Next steps 30-minute intro call with the recruiter 30-minute call with the hiring manager 60-minute assessment with hiring manager & Solutions Engineer team 30-minute call with a sales leader 30-minute final interview with member of the c-suite If you’re excited by the idea of owning a pivotal market, influencing product strategy, and closing high-impact deals, this is your moment. Step into the spotlight - apply today and help lead our success story! 🌍

DataSnipper·Netherlands

We are looking for a skilled and passionate Engineering Manager to join our Excel Agents Team in the Amsterdam office. Working in a bootstrapped and profitable scaleup, you'll have the unique opportunity to lead a team building the intelligence layer that automates the assurance lifecycle and brings AI directly into the workflows of auditors worldwide. Why DataSnipper? Audit and finance are still massively manual, and we're changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we're taking things further with our Excel Agent, bringing AI directly into where the work actually happens. Unlike generic AI tools, we don't sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence, meaning it doesn't just generate answers, it does the work, with full traceability. We're not just applying AI, we're redefining how audits get done. If you want to build something category-defining at scale, this is the place. What You Will Do Lead an engineering team through outcomes, not tasks; set clear goals with the team and trust them to figure out how. Make the team measurably better; raise the engineering bar, grow engineers into bigger problems, and address performance issues directly when they arise. Drive a step change in what the team can do with AI; not just shipping faster, but tackling harder problems, raising quality, and expanding what the team can credibly own. Lead the team responsible for building AI-powered agents that automate assurance workflows, from risk assessment and evidence gathering to control testing and documentation generation. Own the technical direction and architecture of the Excel Agent platform, ensuring agents are reliable, observable, secure, and effective in real customer workflows. Guide the team in designing and scaling agentic systems that combine LLMs, document intelligence, business workflows, and human oversight. Partner closely with Product, Design, and other Engineering teams to shape the roadmap and translate customer needs into impactful AI experiences. Make the architectural and technical calls that shape the team's systems, and stay close enough to the code to do so credibly. Lead the adoption of AI-assisted engineering practices and contribute to how DataSnipper leverages AI across the broader engineering organization. Help shape the team's scope as it evolves, including expanding ownership areas and standing up new teams when needed. Foster a culture of experimentation, learning, documentation, and operational excellence. What You Bring At least 3 years of leading and managing engineering teams, driving performance, growth, and professional development through hands-on mentorship, feedback, and goal setting. Minimum 5 years as a software engineer with a passion for building scalable, reliable, and high-quality software systems. Track record of leading engineering teams that build with AI day to day, and making those teams measurably more effective as a result. Experience building AI-powered products or platforms, ideally involving LLMs, agentic workflows, document processing, or automation systems. An empowerment style of management; you lead through outcomes and trust, not by assigning tasks. Strong product aptitude; can challenge product framing, translate customer needs into technical solutions, and make effective roadmap tradeoffs. Strong understanding of software architecture, distributed systems, APIs, and cloud native development. Experience operating systems in production with a focus on reliability, observability, and maintainability. A track record of growing engineers and creating high-performing teams. Strategic thinker; able to shape product direction, technical direction, and team scope, not just execute on what's handed down. Entrepreneurial mindset with the ability to thrive in a fast-moving scale-up environment. Preferred Qualifications Experience building and deploying GenAI applications in production. Experience with agentic systems, orchestration frameworks, or AI-powered workflow automation. Experience with Python and modern backend development practices. Familiarity with Azure AI services, document intelligence, and cloud infrastructure. Experience with observability and monitoring tools. Experience working in startups or scaleups. Experience in fintech, audit technology, or document-intensive workflows. Strong understanding of testing strategies and engineering quality practices. What We Offer Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact Equity (Stock Appreciation Rights) to share the company's success and growth Excellent salary package, competitive for top tech talent Pension plan with a 6% contribution on top of your base salary 28 vacation days per year (full-time) to support your work-life balance Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office Daily, freshly prepared lunches by our in-house chef to keep you energized NS business card for easy commuting to the office Access to continuous learning and development initiatives to grow your skills Engage with a vibrant international team spread across five global offices Company-wide events like DataSnipper GO where global teams come together Access to OpenUp, a mental health and wellness platform supporting your wellbeing Friday drinks and various social activities are designed for team bonding and fun

DataSnipper·Netherlands

We're looking for a Technical PM to own the document intelligence platform — the tooling that turns messy, unstructured documents into clean, structured, agent-ready data. Extraction, classification, summarization, storage, indexing, and retrieval of document-based data are the raw material every agentic workflow at DataSnipper depends on. This is a technical, engineering-facing role focused on tool and data infrastructure, not agent orchestration. You’ll own the critical extraction and processing layers that drive the core of our agentic work. If the extraction is wrong, every agent downstream inherits the error; your job is to make the data foundation accurate, fast, and reliable at scale. It's a product role at heart: you translate what customers and the agent teams need into the architecture and quality bar that delivers it — product judgment expressed through technical decisions. You'll spend your time in pipeline and data-architecture discussions alongside ML and backend engineers, defining extraction quality and the evals that measure it. When you work with go-to-market, it's to turn accuracy, coverage, and reliability into a story the market trusts. If you're passionate about turning messy, unstructured documents into clean, reliable data — and you've dug deep on something like extraction, classification, parsing/OCR, or measuring data quality at scale — this role is for you. About DataSnipper Audit and finance are still massively manual and we are changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we are taking things further with our Excel Agent, bringing AI directly into where the work actually happens. Unlike generic AI tools, we do not sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence, meaning it does not just generate answers, it does the work, with full traceability. We are not just applying AI, we are redefining how audit gets done. If you want to build something category-defining at scale, this is the place. What you'll own The document intelligence pipeline. Technical direction for how we ingest, parse, extract, classify, and summarize unstructured documents — the tooling that converts raw documents into structured, queryable data. Accuracy and coverage across document types are your core mandate. Product strategy. Own the product strategy for the document intelligence platform, translating customer and agent-team needs into clear requirements and the tooling roadmap (APIs, workflows, and internal platforms) that makes those needs shippable and maintainable. Document storage, indexing & retrieval. How processed documents and their derived data are stored, indexed, and served — so agentic flows can retrieve the right information quickly and reliably. Non-functional requirements of the platform. How well the platform runs — extraction accuracy, throughput, latency, cost per document, reliability, scalability across document volume and variety, and observability. These are your primary success metrics, not feature counts. Quality & evals. Own the creation and running of the evals that measure and improve extraction, classification, and summarization quality at scale — defining the quality bar each capability meets before it ships. You work hand in hand with our LLM Ops team, who own the eval infrastructure; you own the evals themselves and what they tell us. Model & tooling strategy. Decisions on models, extraction techniques, and build-vs-buy across the document-processing stack; cost/performance/accuracy trade-offs; staying current as document-AI techniques evolve. Cross-functional partnership. Engineering is your primary partner — you operate as a technical peer to engineering managers and tech leads. You serve the agent teams (your data is their foundation) and partner closely with the Integrations team on how documents get in and results get out. Who you are A tinkerer. You build to understand — you'll prototype an extraction or test a classification approach rather than theorize about it. A product thinker in an engineer's seat. You don't need to be an auditor, but you love representing the customer and the business problem — and turning that into a robust, well-architected data platform. The technical depth is in service of product value, not an end in itself. A systems-and-data mind. You think in pipelines, data quality, and infrastructure that holds up under volume and variety. Highly autonomous and entrepreneurial. You find the problems that matter, set direction, and drive without waiting to be told. You treat your area like your own company — scrappy, outcome-obsessed, comfortable under ambiguity. What you'll bring Must-have: 4+ years in product management, with 2+ years on technical/platform/data products (APIs, infrastructure, data pipelines, ML systems, or developer tools) Strong grounding in document or data processing: extraction, classification, parsing/OCR, summarization, or other intelligent-document-processing / NLP techniques — with enough grasp of LLM-based approaches to judge when they're the right tool Background in distributed systems, data infrastructure, or pipelines — you understand how processing systems behave under scale, volume, and variety Treats non-functional requirements as a first-class product surface: accuracy, throughput, latency, cost, reliability, observability Hands-on experience creating and running evals or quality-measurement methods for AI/ML or data systems at scale Fluency in model and tooling operations: model/technique selection, build-vs-buy, cost/performance/accuracy trade-offs Can write technical specs that engineers review for feasibility (not correctness) and prototype with code to validate hypotheses; comfortable with architecture trade-offs (accuracy vs. cost, coverage vs. latency) Strong-to-have: Former software engineer, ML engineer, or data scientist who moved into product Hands-on experience with document AI / IDP, OCR, NLP, or unstructured-data systems specifically A public point of view on AI or document intelligence — writing, talks, OSS — or the appetite to build one Experience in audit, accounting, or financial services (domain context for the documents we process) What we offer Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact. Equity (Stock Appreciation Rights) to share in the company’s success and growth. Pension plan with a 6% contribution on top of your base salary. 28 vacation days per year (full-time) to support your work-life balance. Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office. Daily, freshly prepared lunches by our in-house chef to keep you energised. NS business card for easy commuting to the office. A structured onboarding programme designed to set you up for success, including dedicated time to learn our product and customers before you hit the ground running. Access to continuous learning and development initiatives to grow your skills. Engage with a vibrant international team spread across seven global offices. Company-wide events like DataSnipper GO, where global teams come together. Access to OpenUp, a mental health and wellness platform supporting your wellbeing. Recruitment steps Recruiter screen Hiring Manager interview Assessment interview Final interview with Engineering leadership

DataSnipper·Netherlands

About the Role As a Technical Support Specialist at DataSnipper, you'll be a key player on our AI-first support team, helping customers resolve complex technical issues while actively shaping how we scale and improve our support systems. This isn't a traditional support role. You'll work hands-on with our agentic AI infrastructure, helping to improve its resolution rate and answer quality, while independently handling escalated tickets that require real technical depth - think log analysis, API debugging, and coordinating with Engineering on code-level investigations. Beyond the day-to-day, you'll help build the foundation that makes our team better: maintaining our technical knowledge base, identifying recurring issue patterns to feed back into Product and Engineering, and contributing to the onboarding and development of new team members. You'll be joining a small, fast-moving global team based across Amsterdam, New York, and Kuala Lumpur, where curiosity, ownership, and a bias for systemic thinking are as valued as technical ability. About DataSnipper 🚀 Audit and finance are still massively manual and we are changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we are taking things further with our Excel Agent, bringing AI directly into where the work actually happens. Unlike generic AI tools, we do not sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence, meaning it does not just generate answers, it does the work, with full traceability. We are not just applying AI, we are redefining how audit gets done. If you want to build something category-defining at scale, this is the place. What You Will Do Work closely with our agentic AI infrastructure to continuously improve its resolution rate and the quality of the answers it produces Independently resolve escalated technical support tickets, diagnosing root causes using logs, scripts, and internal tooling, and coordinating with Engineering for code-level investigation when needed Partner with Customer Success and Engineering to drive timely resolution of customer-impacting bugs and incidents Maintain and improve the technical knowledge base, creating troubleshooting guides that reduce repeat issues. Track recurring issues, feeding patterns into Product and Engineering to drive systemic improvements Contribute to onboarding and training of new support team members What You Bring 2–4 years of experience in a technical support or application support role in a B2B SaaS environment Strong diagnostic and troubleshooting skills, comfortable working with logs, APIs, and browser developer tools Strong all-round technical aptitude across computers, software, and AI, able to navigate systems such as Windows and Azure, run basic networking checks, inspect the registry, and quickly pick up new software and technical concepts to get things done in unfamiliar environments Solid understanding of SaaS product architecture concepts (APIs, integrations, data flows) Experience with CRM and ticketing systems such as Intercom, Zendesk, Jira, or similar AI tool fluency, able to use AI to increase productivity, analyze data, and actively contribute to support AI agent improvement loops Adaptability to flex across priorities as needed, from strategy and AI improvement work to hands-on ticket crunching during peak-volume periods Committed, self-driven attitude with strong ownership, urgency, and follow-through, able to work independently, manage multiple open tickets, and prioritize effectively Clear and professional communication skills, both written and verbal, for customer-facing interactions Proficient in English, both spoken and written Experience with Excel, audit tools, or financial software is a strong plus Open-minded and adaptive to changing conditions, always looking for opportunities to scale our systems rather than just working through the queue What We Offer Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact. Equity (Stock Appreciation Rights) to share in the company’s success and growth. Pension plan with a 6% contribution on top of your base salary. 28 vacation days per year (full-time) to support your work-life balance. Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office. Daily, freshly prepared lunches by our in-house chef to keep you energised. NS business card for easy commuting to the office. A structured onboarding programme designed to set you up for success, including dedicated time to learn our product and customers before you hit the ground running. Access to continuous learning and development initiatives to grow your skills. Engage with a vibrant international team spread across seven global offices. Company-wide events like DataSnipper GO, where global teams come together. Access to OpenUp, a mental health and wellness platform supporting your wellbeing.

DataSnipper·Netherlands

Every AI call in DataSnipper goes through us. Product teams do not talk to model providers directly, they talk to our gateway. We are responsible for how inference is routed, how it fails over, what it costs, and how anyone can tell whether the output is any good. The second half of the job is evaluation. We are building the platform teams use to measure AI quality: versioned datasets, experiment tracking, and evaluation runs they can act on. It is a hard problem and largely an open one, so you will have real influence over how we solve it. This is a small team with a large blast radius. You will own real production systems, set the standards other teams build against, and see your work in front of hundreds of thousands of users in audit and finance. About DataSnipper Audit and finance are still massively manual and we are changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we are taking things further with our Excel Agent, bringing AI directly into where the work actually happens. Unlike generic AI tools, we do not sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence, meaning it does not just generate answers, it does the work, with full traceability. We are not just applying AI, we are redefining how audit gets done. If you want to build something category-defining at scale, this is the place. What you will do Technical Delivery Own the LLM gateway: routing, provider failover, rate limits, retries, and cost attribution across multiple model providers Deploy, version and deprecate models across clouds, regions and environments, including quota and capacity planning, managed as infrastructure as code Build the shared evaluation platform: versioned datasets, experiment tracking, run and result schemas, reporting, and trace linkage back to the run Own the infrastructure for async and long-running AI workloads Reliability, Security & On-Call Own observability for AI traffic: latency, retries and fallbacks, token usage, cost and errors, per team and per use case Take part in the on-call rotation, run incidents, and close the follow-ups Implement the security and compliance controls the platform is held to: retention, access control, RBAC and SSO Collaboration & Impact Define and maintain clean integration contracts between the platform and the teams that consume it Partner with product and ML engineers to turn their requirements into platform capabilities that are self-service rather than a request queue What you will bring Must-Have 5+ years in backend or platform engineering, with strong production Python Experience building or running LLM inference infrastructure: a gateway or routing layer with multiple providers, failover, rate limiting and cost attribution Experience with cloud at the infrastructure level and infrastructure as code (we run across Azure and GCP with Terraform) Experience running a shared service in production: on-call, incidents, postmortems, SLOs Hands-on experience with observability tools (OpenTelemetry, Grafana), including instrumenting services and designing dashboards and alerts Comfort with privacy and compliance work: PII handling, anonymisation, retention, access control Experience building platform or shared-service capabilities consumed by multiple internal teams Nice-to-Have Experience with LLM or agent evaluation Temporal or another durable workflow engine Self-hosted inference, capacity planning, load testing Synthetic data or document anonymisation pipelines Document AI: VLMs, OCR, structured extraction and the metrics that go with it Domain experience in audit, accounting or fintech What we expect Ownership: You own work end-to-end, anticipate issues, and ensure high-quality delivery without close supervision Growth Mindset: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow Collaboration: You build strong cross-functional relationships and influence peers through expertise, data, and empathy Adaptability: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication Judgment: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively Recruitment steps Recruiter screen Hiring Manager interview Peer programming session System design interview Final interviews with Engineering leadership

DataSnipper·Netherlands

We are looking for a Senior Applied AI Engineer to join the Agent Runtime team behind Alwin, our new Agentic Automation Platform for audit and finance. Alwin agents run for long times, work through multi-step audit procedures over client evidence, and return finished work papers with every number traced back to source. Humans review and sign off. The runtime is the layer every agent depends on: the model access, the base system prompt and context, the tools (document extraction, retrieval, sandboxes, MCP integrations), the orchestration of agents and sub-agents, and the observability and evals that tell us whether an agent is performing to objective standards. You will own the applied AI half of that layer. Product teams build audit-specific agents on top of it; you decide how the base agent reasons, what tools it gets and at what abstraction, how it manages context over long horizons, and how we measure and hill-climb accuracy, speed and cost. This is a hands-on role in a small team with a large blast radius. Your work goes in front of hundreds of thousands of audit and finance professionals, and the problems are largely open: there is no playbook for production agents in a regulated domain, so you will help write it. About DataSnipper DataSnipper is the Agentic Automation Platform for audit and finance. Known worldwide for our Excel add-in, we are now building Alwin by DataSnipper: purpose-built agents that execute audit and finance workflows end-to-end, with every output traceable back to source evidence and a human signing off. Headquartered in Amsterdam with offices in New York, Tokyo, Kuala Lumpur and Sydney, we are used by hundreds of thousands of professionals at the world's largest firms. Our mission: automate the mundane, unlock the meaningful. What You Will Do Agent Engineering Own the base agents: system prompt, context engineering, memory and state management for tasks that span many turns and hours of execution Design how agents use the tool layer, including document extraction, retrieval, code and file sandboxes, and MCP integrations, choosing the right level of abstraction so agents handle edge cases without wasting effort on mechanical steps Implement agentic patterns such as sub-agent composition, planning modes, human-in-the-loop gates, and model routing across multiple providers Ship end-to-end: from prototype with our audit domain experts, through evaluation, to production on Alwin Define and build automatic processes that improve the agent continuously over time Keep costs under control and implement cost-efficient approaches to AI-centric workflows Evaluation & Quality Extract signal from long agent trajectories: attribute outcomes to specific reasoning steps and tool calls, classify failure modes, and turn them into fixes Hill-climb accuracy, latency and token cost, and make the trade-offs explicit for the teams building on the runtime Reliability & Collaboration Instrument agent behaviour with our observability stack and use production traces to drive improvements Partner with Agent Experience teams, Document Intelligence and the AI Platform team to turn their needs into runtime capabilities that are self-service rather than a request queue Stay on the frontier: evaluate new models, techniques and agent patterns, and bring the ones that hold up into production What You Will Bring Must-Have 5+ years of software engineering experience with strong, production-grade Python Experience shipping and operating an LLM-powered product in production: you have dealt with hallucinations, latency spikes, tool failures and cost explosions at scale, and can explain what broke and how you fixed it Hands-on experience building agentic systems: control loops, tool selection, planning versus execution, retries and fallbacks, not only prompt-and-parse pipelines Experience with evaluation: you have built datasets, run offline and online experiments, and used the results to make an AI system measurably better Fluency with LLM APIs and agent frameworks across more than one model provider Proficient with AI-assisted engineering and excited about working with coding agents daily Strong fundamentals in software architecture and system design, and a track record of reliable, well-tested delivery Excellent communication; you can work directly with auditors and product partners to define what "correct" means Nice-to-Have Experience with Durable workflow engines or long-running background task systems Experience with RAG and retrieval pipelines over large, messy document corpora Document AI: VLMs, OCR, structured extraction and their metrics Sandboxed code execution, MCP, or multi-agent orchestration in production Domain experience in audit, accounting or fintech Familiarity with OWASP GenAI security practices and working in a regulated, privacy-sensitive environment What We Expect Ownership: You own work end-to-end, anticipate issues, and ensure high-quality delivery with minimal support. We expect you to influence the technical direction of the team. Growth Mindset: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow Collaboration: You build strong cross-functional relationships and influence peers through expertise, data, and empathy Adaptability: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication Judgment: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively What we offer Being part of one of the fastest-growing scale-ups in the Netherlands Make an impact by disrupting the audit industry with us 28 vacation days Excellent salary Pension plan Stock participation plan Hybrid work (Amsterdam-based) International team and environment Daily lunch 🍽️ Mental health support (OpenUp) Social events and team activities 🤩 Recruitment steps Recruiter screen Hiring Manager interview Peer programming session System design interview Final interviews with Engineering leadership

DataSnipper·Netherlands

We are looking for a Forward Deployed AI Engineer to join the Team at DataSnipper. You will embed with our customers to build and refine the AI agents that automate their audit and finance workflows, taking them from zero to live in daily use and turning what you learn on the ground into the signal that shapes our product. You sit at the exact point where our agent platform meets real assurance work, directly reducing manual effort and accelerating audit outcomes. This is a hands-on, customer-facing role in a high-caliber team that moves fast and holds a high bar. You will design and build agents, debug their accuracy in front of a customer, make the feasibility calls, and then make sure engineering hears what you saw. The platform is still being shaped, so the role rewards people who are energized by building on something while making it better, not people who need fully stable tooling before they can deliver. Why DataSnipper? Audit and finance are still massively manual, and we're changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now we're taking things further with our agent platform, bringing AI directly into where the work actually happens. Unlike generic AI tools, we don't sit on the sidelines. Our agents operate inside the customer's real workflows, with access to real documents and audit evidence, meaning they don't just generate answers, they do the work, with full traceability. We're not just applying AI. We're redefining how audit gets done. If you want to build something category-defining at scale, and do it shoulder to shoulder with the firms using it, this is the place. What You Will Do Deployment & Delivery Build and earn the credibility with senior stakeholders like top-firm audit partners, engagement leaders, and methodology owners ****earning the credibility to influence how an entire practice adopts AI Design engagement programs that take a customer from zero to 20+ agents embedded directly into finance workflows and driving measurable impact Run office hours and resolve remaining issues, then hand off agent know-how cleanly to the Customer Success Manager who owns ongoing account health Agent Build & Quality Build the more complex agents yourself, solving prompting and accuracy challenges against real audit evidence Assess the feasibility of candidate agents, and make the call on what is achievable within an engagement Produce robust agent configurations that anticipate edge cases and hold up under real customer use Feedback & Impact Operate a tight feedback loop between the customer and our product and engineering teams so issues and feature gaps reach the right people fast Surface gaps with enough specificity that they can be prioritized rather than lost and work closely with product and engineering on ideation and prioritization Foster documentation and knowledge sharing across delivery, product, engineering, and GTM teams Professional Services leadership & Product Influence Play a founding role in shaping DataSnipper's professional services offering, translating early deployment learnings into repeatable frameworks, engagement models, and delivery standards as the FDE function grows Dedicate part of your time working directly with the product team to help design and develop new product capabilities, bringing the customer and deployment perspective into early-stage product thinking Mentor incoming FDE team members as the function scales, sharing domain knowledge, delivery instincts, and agent-building craft What You Will Bring Must-Have Strong technical aptitude and structured thinking, with the judgment to decompose a customer workflow into agents and decide quickly what is feasible and what is not Domain expertise in audit and/or finance or strong interest w/ ability to learn Technical literacy with data and documents, enough to configure them correctly and reason about what is going wrong The ability to do this in front of customers, under time pressure, without losing their confidence when something breaks Comfortable using a variety of AI tools like Claude in the build and test loop to move quickly Excellent written and verbal communication, including the ability to make a customer need legible to engineering Bias toward shipping and iterating rather than perfecting in isolation, and willingness to travel to customer sites when an engagement calls for it Nice-to-Have Prior Forward Deployed Engineer, solutions engineering, or implementation experience at an applied AI or enterprise software company Experience with document processing and spreadsheet-heavy workflows Familiarity with agent design patterns, evals, or AI observability Hands-on experience building with LLMs in practice: writing and refining prompts, evaluating accuracy, and debugging non-deterministic behavior What We Expect Ownership: You take features from refinement to production and stay accountable through bug-bashing, on-call response, and follow-ups. You don't wait to be told what to fix. Growth Mindset: You actively seek and give feedback, and treat reviews and pairing sessions as a chance to grow rather than to defend. Collaboration: You build trust with product, design, QA, and fellow engineers; you ask good questions and share context generously. Adaptability: You feel comfortable in a fast-changing scale-up environment, priorities shift, scope sharpens, and you help the team adjust. Judgment: You balance speed and quality, know when to push back, when to ship pragmatically, and when to escalate. What we offer Being part of one of the fastest-growing scale-ups in the Netherlands Make an impact by disrupting the audit industry with us 28 vacation days Excellent salary Pension plan Stock participation plan Hybrid work (Amsterdam-based) International team and environment Daily lunch 🍽️ Mental health support (OpenUp) Social events and team activities 🤩

10x Team·Netherlands

Updated: 07 July 2026 Fractional Chief Information Security Officer 10x Team | Contract | Netherlands | 8–12 hours per week The Context We are building a curated 10x cybersecurity leadership capability to support multiple fast-scaling European organizations operating in increasingly regulated and threat-sensitive environments. These companies do not need reactive security management. They require senior security architects who can design institutional-grade security frameworks that scale with product growth, regulatory exposure, and enterprise customer expectations. This is not a single vacancy. This is a selective addition to a high-level security leadership bench supporting multiple environments. The Mandate As part of the 10x Team, you may be deployed to design and implement scalable security and governance architectures across high-growth technology environments. Your focus is execution. You will architect repeatable security engines that include: • Enterprise-grade information security strategy aligned with business objectives • Risk-based security governance frameworks • Security-by-design integration into product and engineering workflows • Threat modelling and risk assessment structures • Security control design and maturity roadmaps • Incident response frameworks and breach escalation protocols • Vendor and third-party risk management programs • Security certification readiness structures including ISO 27001 and SOC 2 • Alignment with EU regulatory frameworks such as NIS2 and DORA where applicable • Security performance dashboards and board-level reporting models • Executive communication frameworks translating technical risk into business impact The objective is to transform fragmented security efforts into a scalable, auditable security platform that enables growth rather than constrains it. Who We Are Looking For Senior-level security leaders with: • 7+ years experience in cybersecurity leadership roles • Proven experience designing and implementing security programs in scaling environments • Deep knowledge of risk management and control frameworks • Experience with ISO 27001, SOC 2, and enterprise customer security requirements • Ability to operate at executive and board level • Strong technical fluency combined with strategic judgment • An execution mindset How to Apply: After applying, you’ll receive an email detailing the steps to: - Complete a short written assessment - Participate in an AI-powered interview Important: Your application is only complete once you finish all steps via the email link. Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project.         ----------------------------------------- NOTE At 10x, there are two types of opportunities:   1. Traditional freelance missions These are regular project-based opportunities where the listed mission is the actual project you may work on.   2. AI Lab roles For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities. The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent. Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise. This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.

10x Team·Netherlands

Updated: 07 July 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Are you a Dutch, German or French-speaking professional who instinctively spots gaps in language reasoning and understands the complex realities of language use? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies linguistic expertise at scale. About the Role 10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for bilingual specialists based in the EU or UK who are fluent in Dutch, German, or French to enhance the accuracy, depth, and real-world relevance of AI-powered language systems. What You Will Do Review and refine AI-generated outputs related to language use, communication scenarios, translations, and practical aspects of bilingual communication Evaluate AI responses for linguistic accuracy, practicality, and compliance with real-world usage Draft realistic scenarios based on your direct professional or language experience Create scenario variations from different perspectives (e.g. language specialist, client, end-user, or reviewer) Identify gaps, oversights, or weak reasoning in AI-generated content In simple terms: You will assess and improve AI-generated content, ensuring it reflects authentic language reasoning, genuine communication, and practical language procedures. Rather than providing traditional language services, you’ll apply your expertise to help AI systems understand and reason about bilingual processes at scale. Who You Are A bilingual specialist (Dutch, German, or French) with significant language or professional experience within the EU or UK Experienced in advising on, preparing, or reviewing multilingual documents, communications, or translations Skilled at evaluating language processes, real-world application, and authenticity Comfortable working independently and providing structured, critical feedback Available for 8–20 hours per week, with prompt availability Why Join? Flexible, fully remote freelance work that fits your current commitments Apply your language expertise in a rapidly evolving, high-impact AI environment Directly contribute to building advanced AI language systems Free access to our in-house AI Academy to further develop your AI skillset Clear onboarding, structured tasks, and ongoing opportunities for collaboration How to Apply: After applying, you’ll receive an email detailing the steps to: ⁠Complete a short written assessment Participate in an AI-powered interview   Important: Your application is only complete once you finish all steps via the email link. Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project. Join us to help shape the linguistic expertise of the world’s most advanced AI models! ----------------------------------------- NOTE At 10x, there are two types of opportunities:   1. Traditional freelance missions These are regular project-based opportunities where the listed mission is the actual project you may work on.   2. AI Lab roles For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities. The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent. Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise. This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.