[Hiring] Senior Product Owner, AI Platform @GridUnity

Role Description

Our Senior Product Owner, AI Platform position reports to the Director of Platform Product Management and is a core member of the product team that sets the strategy and roadmap for the technical capabilities the GridUnity Intelligence Platform provides to our national customer base. You help set the vision for GridUnity’s proprietary AI capabilities (GALE AI) and work with the Director to align with overall platform strategy and keep stakeholders clear on the vision. You innovate how AI creates value for grid operators, utilities, and developers.

You will partner with GridUnity’s product owners and designers to ensure new and existing applications or capabilities apply AI in a way that delights customers, addresses important use cases, and is efficient. You bring hands-on data science experience that lets you judge model tradeoffs, push back on technical assumptions, and make sure AI features are accurate, explainable, and trusted by utility customers; this includes discernment about when AI is not the right answer for delivering customer outcomes.

You represent customers’ needs and product approach to the engineering team to ensure they maintain a clear understanding of the prioritized product backlog and goals for each product increment, which is delivered through iterative Agile development. You work with others on the larger GridUnity product and customer growth teams to understand and monitor changing market and customer needs. You track ongoing product metrics, at both the model and business levels, to ensure customer value is maximized and product investment decisions are data-driven.

Key Responsibilities

• Strategy & discovery
  • Drive the translation of company/product strategy into a prioritized, outcome-based roadmap for the deployment of AI in GridUnity products.
  • Engage with customers to understand needs, test and validate concepts, and continuously validate that the backlog reflects problems that AI can actually solve.
  • Define and describe AI use cases to drive selection of those with extensible and/or specific strategic value, including driving build/buy/partner and sequencing tradeoffs.
  • Work with the growth team, strategic operations and engineering to define AI pricing models.
  • Use data science to assess whether an AI use case is feasible, ready, and of high value, and to support effective communication with data science and AI engineers.
  • Report on product area health (adoption, satisfaction, delivery predictability) in terms leadership cares about; course-correct or kill initiatives that aren't delivering value.
• Backlog & requirements
  • Lead product solutioning in coordination with customer success, product design, and other team members to deliver customer needs with scalable, configurable product.
  • Own the experiment-to-production path, including pilots, A/B tests, and phased rollouts, validating assumptions efficiently (prototypes, pilots, spikes) before committing engineering time.
  • Write and refine user stories, acceptance criteria, and edge cases that hold up under implementation and meet model performance thresholds.
  • Assess data availability, quality, and labeling needs when defining and prioritizing work; creatively solve for data needs and quality improvements.
  • Own the AI backlog and share grooming of the larger backlog with other Product Owners so engineering always has a clear, well-specified next set of work.
• Delivery & execution
  • Act as the go-to decision-maker for the development team on scope, sequencing, and acceptance; unblock engineering quickly when requirements shift.
  • Manage scope creep during a release without derailing the sprint or quarter's commitments.
  • Own release readiness — confirm feature solves for the defined need before it ships.
• Responsible AI and governance
  • Make sure product meet standards for explainability, auditability, bias, and data privacy and controls.
  • Work with security and operations on AI risk, customer data use, and model policies.
  • Set requirements for monitoring, human-in-the-loop review, and fallback behavior.
• Stakeholder & cross-functional management
  • Manage competing stakeholder demands (sales, customer success, executives, engineering) without becoming a bottleneck or a pushover.
  • Provide subject matter expertise and support as needed to GridUnity sales team (e.g., RFP support, product demonstrations, product training, documentation, etc.).
  • Keep leadership and stakeholders informed on status, risk, and tradeoffs through concise, structured communication that includes any needed context.
• Team & process leadership
  • Mentor or set the bar for less experienced product owners, bringing best practices and continuous improvement into the Product Team’s overall way of working.
  • Collaborate with the Director of Platform Product Management to inspire the organization in use of AI to improve customer experience and product quality.

Qualifications

• Degree in data science, computer science, statistics, engineering, or a related STEM field, or equivalent experience.
• 7+ years experience in B2B SaaS software organization(s), with 4+ years experience working in a Product Owner role and 2+ years on AI or data-heavy products that require data science or analytics experience.
• Track record of shipping products and feature sets that real customers used, with measurable outcomes.
• Solid grasp of the ML lifecycle: data prep, training, evaluation, deployment, monitoring, drift.
• Practical experience with LLMs and generative AI: prompting, RAG, evaluation approaches, cost and latency tradeoffs, and agentic workflows.
• Energy/utility industry experience and knowledge is preferred, including experience in transmission planning and/or interconnection processes.
• Operate with autonomy and comfort with ambiguity commensurate with a senior-level product owner.
• Skilled in both written and verbal communication with the ability to transition seamlessly between technical and business content areas.
• Experienced in communicating effectively with executive-level stakeholders, identifying, synthesizing, and proposing risk-mitigation and opportunity-securing pathways.
• In-depth understanding of and experience with Agile software development methodology.
• Highly organized with ability to stay on top of multiple projects and deliverables, including changing internal and external priorities.

Benefits

• Competitive compensation packages that recognize your expertise and contributions.
• Remote-first culture that provides flexibility and balance.
• Professional development opportunities, including training, mentorship, and career pathing.
• Comprehensive health, dental, and vision insurance starting day one.
• Short- and long-term disability and basic life insurance at no cost to you.
• 401(k) plan with a 4% match to help secure your future.
• Flexible PTO and a supportive work culture that values balance.
• Mission-driven work with the opportunity to make a significant impact in the energy sector.