Senior Product Manager, Smart Data Products [gn] Europe

Translate the CPTO's strategic vision into a concrete, scalable Data Product roadmap. You'll pair strong product instincts with data-informed decision making to deliver results.

Participate in the product lifecycle from discovery through launch, iteration, and adoption, including setting success metrics, prioritizing features, and ensuring high-quality execution.

Lead the full lifecycle of Data Products development, ensuring they are discoverable, trustworthy, and valuable within Actian's Data Intelligence Platform.

Oversee the development of AI agents that control data products, enabling conversational and proactive interactions for end-users.

Lead cross-functional squads in an agile environment, collaborating with Engineering, Design, Marketing, Sales, and Customer Success to ensure high-velocity and high-quality releases.

Champion the use of AI product development tooling to accelerate delivery and optimize product features.

Partner with Go-to-Market teams to position our Data Products value proposition, shape product messaging, and drive adoption among technical and executive audiences.

Navigate the complexity of corporate environments while maintaining the agility of a startup, managing expectations from C-level executives to end-users and clients.

5+ years in Software Product Management, with specific focus on Data Products, Data Platforms, or AI/ML products.

Experience working as a product manager on open source technologies.

You have "survived and thrived" in both fast-paced startup environments and complex corporate structures. You know how to pivot quickly but also how to navigate decision-making processes in larger organizations.

Deep understanding of Data Governance, Data Catalogs, and the modern data stack.

Ability to debate strategic inputs and then dive into the concrete inputs for engineering at ground level.

Skilled at translating customer and stakeholder needs into innovative product features.

Track record of shipping enterprise-grade Saa S features from ideation through scale.

Able to balance short-term execution with long-term vision.

Customer-driven and passionate about customer success.

Bachelor's degree in Computer Science, Engineering, Business, or related field.

Prior work experience in the data management domain (e.g., data catalogs, databases, major CSPs, key data-oriented user personas and their use cases) is a plus.

At least 1 year owning zero-to-one or early-stage product launches.

When the wind blows, build windmills not walls

If it isn't ruthless, it isn't prioritization

Do better, do faster