As our PeopleOps Specialist, you will be the backbone of our HR operations, ensuring a seamless and high-quality employee experience from the moment a new hire accepts their offer. You are not just an administrator; you are a proactive problem-solver and a vital link between our people, our processes and our technology. We are seeking a People Operations Specialist to join our international People team, consisting of HRBPs, TA Business Partners, and fellow PeopleOps Specialists. You will be the "go-to" person in our Amsterdam office, collaborating closely with employees and managers across all departments. Your expertise won't stop at operations; as a super-user of our own HRIS, you will leverage your hands-on experience to directly influence the future of our product. This is a unique opportunity for a People professional who excels at operational excellence, thrives on automation, and is passionate about translating real-world user feedback into product improvements. First Year as a PeopleOps Specialist First 3 months: Master our global HR landscape, take ownership of international contracts and workflows, and identify product gaps in our HRIS. After 6 months: Lead our international People operations, from onboarding sessions to optimizing our global Notion workspace. After 12 months: Act as our internal expert on global PeopleOps. You'll be driving AI and automation to scale our cross-border processes. What You Will Be Doing Operational excellence: own the day-to-day HR lifecycle tasks, including drafting contracts and addendums, managing HR tickets, and maintaining our internal knowledge base (Notion) with precision. Onboarding & engagement: host engaging monthly onboarding sessions for all new joiners, ensuring they feel welcomed and empowered from day one. Product SME & AI automation: act as an internal consultant for our HRIS. You will proactively experiment with AI and automation to streamline workflows and present insights to the Product team to influence development priorities. Stakeholder support: serve as one the "faces of HR" in the Amsterdam office, providing clear and timely guidance to employees on policy, benefits, and local regulations. Continuous improvement: constantly look for "a better way". Whether it’s redesigning a workflow or automating a manual task, you have the autonomy to make it happen. What You'll Bring Experience in People Ops within an international or global organization. Languages: fluency in Dutch (C1 level or higher) and English is required. Proficiency in an additional language, especially French or German, is an advantage. Tech-forward mindset: you are genuinely excited about technology and AI. You have a proactive desire to experiment with automation to reduce manual work. Product curiosity: practical experience with HRIS tooling; you enjoy finding ways to improve workflows. People-Centric: you are energetic, empathetic and highly proactive. You enjoy being the visible point of contact in an office environment. Operational rigor: strong attention to detail and comfort with the "hands-on" side of HR operations, from compliance to documentation. What We Offer Hybrid working from our beautiful canal-side office in Amsterdam Diverse and international team environment €1,500 annual training budget + 2 dedicated learning days Pension plan, wellness perks & commuting/travel reimbursement 28 paid holiday days + 2 additional days in 2026 Work from anywhere for 4 weeks per year Apple MacBook and all tools you need to succeed €200 home office budget
","enriched_at":1777039930605},{"id":"job_528bf454-d13","title":"Data Analytics Engineer","source_url":"https://careers.tellent.com/o/data-analytics-engineer","location":"Amsterdam","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We are seeking a Senior Analytics Engineer to join our team. As a key member of our data organization, you will be responsible for transforming raw data into a strategic asset by designing high-performance data models that power our financial reporting, product forecasting, and GTM strategy.
\nYour 12-Month Journey
\nDuring the first 3 months, you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt), core business data models, and understand the current pain points in our data flow. You will deliver and optimize your first high-priority models for product usage and financial reporting. You will partner with the Data Engineer to align on the new infrastructure roadmap.
\nWithin 6 months, you will implement a robust semantic layer to standardize KPIs across the company and enable AI-readiness and advanced natural language querying.
\nAfter 1 year, you will fully own the company's data modeling architecture, ensuring it is prepared for AI and machine learning applications. You will act as a strategic advisor to department heads, using data to help shape the company's long-term growth and forecasting strategies.
\nWhat You'll Be Doing
\nStrategic Data Product Ownership: Manage the end-to-end lifecycle of our internal data products. You will partner with stakeholders to translate complex business questions into technical requirements, selecting the right tools to ensure our reporting is scalable, accessible, and high-impact.
\nAdvanced Analytics Engineering: Design, build, and maintain our core data models using dbt Labs. You will own the logic for mission-critical datasets, including financial reporting, churn forecasting, and reverse-ETL flows that sync warehouse data back into our business tools (e.g., Planhat, HubSpot).
\nData Governance & Semantic Layering: Act as the guardian of 'The Truth.' You will implement data governance standards and build our semantic layer to ensure metrics are consistent across the company.
\nData Democratization & Enablement: In collaboration with RevOps, you will design and deliver training programs and documentation. Your goal is to empower users across Finance, Product, and GTM to independently navigate data products and derive their own insights.
\nCollaboration: You will be the central hub of our data organization. You will work daily with the Data Engineer to align on the roadmap, while frequently consulting with Finance, GTM, and Product leaders to ensure our data products solve their most pressing problems.
\nWhat You Bring
\nSolid experience in Analytics Engineering, Data Analysis, or Data Engineering, with a track record of independently delivering data products that enable reporting, decision-making, and CDP use cases.
\nYou are an expert in SQL and understand how to write performant, modular code. Familiarity with Python and Git for optimizing and versioning data transformations is a significant advantage.
\nDeep, hands-on experience with dbt and BigQuery is a must. You should also be comfortable navigating ELT tools like Airbyte or Fivetran.
\nCommercially savvy: you understand the business. You can spot opportunities where data can improve ARR, reduce churn, or optimize spend.
\nYou thrive in fast-paced environments and are comfortable creating structure out of the uncertainty of a scaling company.
\nStrong project management and stakeholder management skills. You are a 'bilingual' communicator who can discuss warehouse schemas with an engineer and ARR growth with a CFO.
\nFluency in English, both written and spoken, at a minimum C1 level
\nWhat We Offer
\nFlexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam
\nA chance to be part of and shape one of the most ambitious scale-ups in Europe
\nWork in a diverse and multicultural team
\n€1,500 annual training budget plus internal training
\nPension plan, travel reimbursement, and wellness perks
\n28 paid holiday days + 2 additional days to relax in 2026
\nWork from anywhere for 4 weeks/year
\nAn inclusive and international work environment with a whole lot of fun thrown in!
\nApple MacBook and tools
\n€200 Home Office budget
","enriched_at":1776550333210},{"id":"job_21f5f6c3-734","title":"Data Engineer","source_url":"https://careers.tellent.com/o/data-engineer","location":"Amsterdam","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Engineering","description":"About the Role We are at a pivotal scaling point where our data ambitions have outpaced our current setup, and we need a Data Engineer to architect the professional-grade foundations of our platform.
\nThis role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products.
\nYour primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.
\nYour 12-Month Journey During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.
\nWithin 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.
\nAfter 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.
\nWhat You’ll Be Doing Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.
\nDeploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.
\nChampion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.
\nTechnical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.
\nCollaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.
\nWhat You Bring Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments. The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem. Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform). Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug. DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments). Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code. Comfortable in a fast-paced environment Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management. Fluency in English, both written and spoken, at a minimum C1 level
\nWhat We Offer Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam A chance to be part of and shape one of the most ambitious scale-ups in Europe Work in a diverse and multicultural team €1,500 annual training budget plus internal training Pension plan, travel reimbursement, and wellness perks 28 paid holiday days + 2 additional days to relax in 2026 Work from anywhere for 4 weeks/year An inclusive and international work environment with a whole lot of fun thrown in! Apple MacBook and tools €200 Home Office budget
","enriched_at":1776550326548},{"id":"job_85e54117-769","title":"Campaign Manager DACH","source_url":"https://careers.tellent.com/o/campaign-manager-dach","location":null,"job_type":"full-time","experience_level":"mid","work_arrangement":"remote","category":"Marketing","description":"As our Marketing Campaign Manager for the DACH region, you will plan, execute, and report on integrated marketing campaigns that generate demand and actively contribute to pipeline growth.
\nThis role requires creative thinking, strong collaboration, and the ability to draw insights from our data while keeping messaging highly relevant for the DACH market.
\nResponsibilities:
\nYour 12-month journey as Campaign Manager
\nIn your first 3 months, you'll immerse yourself in our platform, ICP, messaging, data dashboards, and workflows. You'll start running smaller campaign activities and support ongoing webinars and events.
\nBy month 6, you'll fully own the DACH campaign calendar and run multi-channel campaigns independently. You'll experiment, evaluate, and optimise based on data, while working closely with Sales to ensure strong follow-up and conversion.
\nBy month 12, you'll be the point of reference for regional demand generation. You'll influence campaign direction, propose new plays, and contribute to shaping how we grow the DACH market.
\nWhat you'll bring
\nWhat we offer
\nAs a Senior Account Executive, you'll hit the ground running closing deals with companies throughout the Benelux market.
\nYou'll own deals in the upper SMB segment from day one, while building towards mid-market responsibility within 12 months.
\nThis role is designed for a Senior AE who thrives in high-ownership environments: someone who can generate pipeline when inbound is insufficient, manage complex sales cycles (including multi-product deals, RFPs and tenders), and contribute to a predictable, high-quality revenue engine.
\nYou will be a key pillar in ensuring business continuity and future segment coverage as the team scales.
\nIn this role, you'll:
\nYou'll bring to the team:
\nWhat we offer:
\n