Technical Product Manager -Data

Role & responsibilities

• As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows.
• Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value.
• Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points.
• Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation.
• Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions.
• Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities.
• Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers.

About You

• You are passionate

  - you are your products biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value

• You are pragmatic

  - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table

• You love to learn

  - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution

• You are a master at communication and collaboration

  - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal

Experience

• 5+ total years of experience in Product Management, Engineering, or Implementation roles
• Experience in data infrastructure, AI/ML platforms, or enterprise data products
• Knowledge of data modeling, SQL, and ETL/ELT processes
• Knowledge of data quality, metadata management, data lineage, and observability is a plus
• Bachelors degree in Engineering/Computer Science or a related technical discipline