About this role.
This is a senior individual-contributor product management role focused on Smart Data Products within a data intelligence platform. The role owns product strategy, roadmap development, discovery-to-adoption lifecycle execution, and the delivery of AI-agent-enabled data experiences. It requires deep familiarity with enterprise SaaS, modern data stacks, data governance, data catalogs, and cross-functional agile delivery. The Product Manager will work closely with engineering, design, go-to-market, sales, and customer-success teams while communicating with both executives and technical users.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would begin by defining the target users, highest-value jobs to be done, business outcomes, and measurable success criteria. I would validate assumptions through customer research and data, break the vision into outcome-oriented themes, and prioritize initiatives using customer value, strategic alignment, feasibility, risk, and time-to-value. I would then align the roadmap with engineering and go-to-market partners and revisit priorities as evidence changes.
I would establish clear trust requirements covering data access controls, provenance, accuracy, explainability, auditability, and safe failure behavior. I would partner with engineering, security, and governance stakeholders to define evaluation datasets, quality thresholds, human-review paths, and monitoring for production performance. Trust would be treated as a product capability with visible user controls, not only as a technical compliance requirement.
I would separate discovery work from committed delivery while keeping both connected to a common product strategy. For early concepts, I would use prototypes, design partners, and measurable experiments to reduce uncertainty before scaling investment. For existing customers, I would maintain transparent release planning, communicate trade-offs early, and use adoption and retention signals to ensure innovation does not compromise core reliability.
I would use a balanced set of metrics: activation and adoption, repeat usage, time to discover or access trusted data, task completion rate, data-product quality, user satisfaction, and expansion or retention impact. For AI-agent interactions, I would also monitor answer quality, grounded-response rate, escalation rate, and policy-compliance outcomes. The final metric set would be tied to the specific user problem and business objective.
I make the decision criteria explicit and ground discussion in customer evidence, strategic goals, delivery constraints, and expected impact. I ensure each group is heard, document the trade-offs, and distinguish reversible decisions from high-cost commitments. Once a decision is made, I communicate the rationale and success measures clearly so teams can execute with shared context.
Actian is a leading provider of data management solutions, empowering businesses to harness the power of their data.
This role offers competitive compensation, including base salary and variable compensation. Actual compensation is based on factors such as the candidate’s skills, qualifications, location, and experience.
We are looking for a visionary Senior Product Manager to lead the next generation of Smart Data Products within our ecosystem. You will be at the forefront of a new way of interacting with data through reliable and trustworthy AI agents, providing innovative interactions between users and information. Using Actian’s Data Intelligence Platform as our core platform, you will bridge the gap between high-level strategic vision and agile technical execution. You will not only manage a backlog but also co-create alongside engineering teams using AI-driven development workflows. This is a fully remote, senior individual contributor role with high strategic visibility.
What You’ll Do
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.
Who You Are
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 SaaS 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.
Preferred qualifications
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.
This role sits within the Data Intelligence Product Team. Here are values we live by:
When the wind blows, build windmills not walls
If it isn’t ruthless, it isn’t prioritization
Do better, do faster
What We Offer:
- The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
- Collaboration with a passionate and diverse team.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
Compensation
Additional Information
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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