Senior Product Owner, AI Platform

Role overview

Set the direction and delivery plan for AI capabilities within a business software platform serving the energy sector. You will connect customer needs, product strategy, and data science to identify valuable use cases, guide iterative development, and measure whether AI features produce trusted, practical results.

Responsibilities

- Turn product strategy and customer research into a prioritized roadmap for AI features, including decisions about what to build, buy, or develop with partners. - Assess use case feasibility, data readiness, and expected value; work with data science and engineering teams to evaluate model tradeoffs and requirements. - Own the AI backlog and guide features from discovery and experiments through pilots, testing, phased releases, and production. - Define user stories, acceptance criteria, edge cases, and model performance expectations; coordinate scalable solutions with design and customer-facing teams. - Track adoption, satisfaction, delivery, and business outcomes, and recommend changes or stopping work when results do not justify continued investment. - Align stakeholders on priorities, risks, and tradeoffs; support product communications and mentor other product owners.

Requirements

- Degree in data science, computer science, statistics, engineering, or a related STEM field, or equivalent experience. - At least 7 years in B2B software, including 4 or more years in product ownership and 2 or more years on AI or data-intensive products. - Record of shipping customer-used products with measurable outcomes; practical understanding of the machine learning lifecycle, from data preparation through monitoring and drift. - Hands-on knowledge of large language models and generative AI, including prompting, retrieval-augmented generation, evaluation, cost and latency tradeoffs, and agent workflows. - Strong Agile delivery, organization, and communication skills, including the ability to move between technical and business discussions and influence senior stakeholders. - Ability to work autonomously through ambiguity and manage changing priorities.

Nice to have

- Energy or utility industry knowledge, especially transmission planning or grid interconnection.

Benefits and work setup

- Remote-first work, flexible paid time off, professional development, health, dental and vision coverage, disability and life insurance, and a retirement plan with employer matching. - The role is restricted to individuals who meet the applicable U.S. person definition because of potential access to regulated critical infrastructure data and systems.