Product Manager

Product Strategy & Roadmap

• Understands vision, direction and priority of the product roadmap and backlog.
• Deliver the product roadmap, ensuring a balance between short-term wins and long-term strategic goals
• Partner with Product Management to define and evolve the product vision, strategy, and roadmap aligned with business and company goals.
• Balance short-term deliverables with long-term strategic investments in data and AI capabilities
• Lead discovery efforts within your domain and contribute to broader cross-functional initiatives.

Backlog & Delivery Management

• Works with Product Manager to define, own and manage the product backlog for your scope, ensuring clarity, prioritization, and alignment with customer needs.
• Translate business requirements into detailed user stories and acceptance criteria, clearly articulating business objectives and VoC.
• Manage the product development lifecycle, in collaboration with engineering, QA and cross-functional teams, to ensure timely, high-quality delivery of features and outcomes.
• Leads and facilitates team meetings, actively seeking feedback and other opinions
• Identify and manage technical dependencies, risks, and mitigation plans.

Customer & Stakeholder Engagement

• Champion the voice of the customer (VoC) by integrating feedback into product planning and development, ensuring customer needs are met as it relates to current scope.
• Define and monitor key performance indicators (KPIs) and usage metrics to evaluate product success and customer health.
• Leverage data data driven insights to iterate on the product and inform future development
• Manage dependencies and communicate risk early and often; work closely with leadership to remove obstacles.
• Support and help define customer beta programs, early access initiatives, and end-of-life transitions.

AI & Data Product Development

• Collaborate with data scientists, AI engineers, and analytics teams to define and prioritize AI/ML features and data products.
• Provide product support, including technical development, QA, and customer issue resolution for AI-based solutions, dashboards, and reporting tools (e.g., Looker)
• Work with release management on a release plan, feature testing, and support end of life / migration plans as applicable
• Stay informed on competitive trends and emerging technologies in data and AI

Privacy & Compliance

• Apply Privacy by Design (PbD) principles throughout the product lifecycle.
• Identify privacy risks and contribute to discovery and compliance assessments.

Go-to-Market & Operational Readiness

• Works directly with Product Manager to prepare go-to-market organization for launch, ensuring organizational readiness and seamless launch of products.
• Partner with Product Management and GTM teams to ensure successful product launches, in collaboration with Product Management.
• Define success metrics and ensure documentation, training, and support materials are up to date.
• Maintain data hygiene and accuracy in systems of record

• 3–5 years of experience in product ownership or technical product management, preferably in data, analytics, or AI domains.
• 1-2 years of SQL experience
• Strong understanding of data platforms, analytics tools, and AI/ML technologies.
• Experience with Agile methodologies and tools (e.g., Jira, Confluence).
• Familiarity with data visualization tools (e.g., Looker, Tableau) and cloud platforms (e.g., AWS, Azure).
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and Privacy by Design principles.
• Excellent communication, collaboration, and stakeholder management skills.
• Strong analytical thinking, problem-solving, financial acumen, and decision-making abilities.
• Independence, Project Ownership, Collaboration as a part of a team
• Ability to set and manage priorities judiciously

• Experience working with enterprise SaaS products.
• Exposure to MLOps, data governance, or data engineering practices.
• Ability to influence without authority and lead cross-functional teams.