Staff Product Manager - Technical

Menlo Ventures; Amsterdam; On-site; EUR 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive benefits and perks

Diversity and inclusion commitment

Job summary

A leading data and AI company is seeking a Technical Product Manager to enhance their database capabilities and ensure compliance across the organization. You will collaborate across teams, shape roadmaps, and drive impactful improvements. The ideal candidate has over 5 years of technical experience, skills in Python and SQL, and domain expertise in transactional databases or data governance. This role offers a chance to make a significant impact in a dynamic environment.

Qualifications

• 5+ years of experience with a strong technical background.
• Deep domain expertise in transactional databases, cloud-native databases, or distributed systems.
• Experience evaluating technologies on performance and compliance.

Responsibilities

• Identify impactful product improvements.
• Define performance benchmarks or governance best practices.
• Shape and prioritize a meaningful product roadmap.
• Support go-to-market efforts and guide product adoption.

Skills

Transactional databases (OLTP)

Data governance

Strong Python skills

Strong SQL skills

Systems design and architecture

Experience with AI-assisted development tools

Performance evaluation

Customer empathy

Hands-on technical background

Job description

As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.

Depending on your background, you will focus on one of two critical product areas:

OLTP Databases

You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.

Data Governance

You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).

This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.

You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.

The impact you will have

• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform

What we look for

• 5+ years of experience with a strong, hands‑on technical background
• Strong empathy for customers across full spectrum of Data Platform users
• Deep domain expertise in one of the following:
• Transactional databases (OLTP), cloud‑native databases, or distributed systems
• Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI‑assisted development tools
• Experience with systems design and architecture
• Proven ability to work effectively across product, engineering, and technical field teams

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.