Sr. Product Manager-Analytics

EDB

Amsterdam, NLonsitePosted Jun 4, 2026

Skills

postgresdatabrickssnowflakeazuresparkgooglecloudaws

About the role

A Little About Us

EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com

Candidate Note: This position is 100% remote for those based in the UK/EU**

We are seeking an exceptionally skilled and experienced Senior Product Manager to lead the execution and growth phase of our Analytics products, with particular focus on the Lakehouse Ecosystem and Realtime Analytics. This role requires a deep technical understanding of core database technology and modern innovations around analytics workloads. You will be onboarded into a fast-moving team that operates like a startup within EDB, moving at rapid pace to win customers and Bring Analytics to Postgres.

Your Impact Will Be

Define, champion and execute the year-long vision and strategy for our next-generation Postgres Analytics platform, informed by customer insights and emerging trends within the Lakehouse ecosystem

Serve as the key subject matter expert on advanced data technologies, specifically the Lakehouse Ecosystem (including Apache Iceberg and Delta Lake), Apache Spark, ClickHouse, and modern Cloud Data Platforms (e.g. Snowflake, Databricks, Cloudera, and the modern data platforms at AWS, GCP and Azure)

Conduct market analysis, competitive landscape assessments, and deep customer/stakeholder interviews to identify key unmet needs and opportunities where EDB is uniquely positioned to win

Translate high-level strategy into detailed product requirements, user stories, and acceptance criteria for engineering teams

Work directly with senior engineering teams to direct execution of the vision according to dynamic customer requirements and field feedback

Own the long-term roadmap, balancing immediate engineering needs, critical maintenance, and forward-looking feature development

What You Will Bring

Demonstrated success as a product manager for complex, data-intensive infrastructure software for enterprise analytics workloads with Warehouse/Lakehouse architectures

Excellent cross-functional communication skills and the ability to discuss highly technical concepts with different audiences, whether they’re customers, executives or engineers

Hands-on attitude toward product development. You’re an early adopter who gets your hands dirty with new products before they’re ready. You win the trust of engineering teams and field teams by engaging at a deep level with the products you own

Curiosity and excitement about Generative AI tools and how you can leverage them as a Product Manager to create prototypes, validate integrations and rapidly experiment with new ideas

What Will Give You An Edge

Technical background or experience as a practitioner of data engineering and analytics

Understanding of the Postgres ecosystem, and open source communities

Familiarity and experience with both stable and emerging technologies in the Data ecosystem, including Clickhouse and Apache Spark

Familiarity and experience with the Lakehouse ecosystem, open data/metadata formats like Apache Iceberg and Delta Lake, and the competitive landscape of this ecosystem

Thought leadership and passionate opinions about analytics technologies informed by hard-won experience architecting, deploying and scaling enterprise-grade data platforms

A background in software engineering or data architecture is a significant plus

EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits.

We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply!

EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity.

EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Product Manager roles in Netherlands varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Product Manager hub for Netherlands medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.