Senior Product Owner, AI Platform

GridUnity

1d • $130,000 - $190,000 • Remote

About The Position

The Senior Product Owner, AI Platform reports to the Director of Platform Product Management and is a core member of the product team responsible for strategy and roadmap of technical capabilities in GridUnity’s Intelligence Platform. The role helps define the vision for GridUnity’s proprietary AI capabilities (GALE AI), aligns with the overall platform strategy, and identifies ways AI can create value for grid operators, utilities, and developers.

This role partners with product owners, designers, engineering, data science, customer success, growth, strategic operations, security, and other teams to deliver AI capabilities that address customer needs and are efficient, accurate, explainable, and trusted. The Senior Product Owner uses hands-on data science experience to evaluate model tradeoffs and technical assumptions, and to determine when AI is not the right solution. The role represents customer needs to engineering, maintains a prioritized and well-specified backlog, and guides iterative Agile delivery.

The position also monitors product and model metrics to maximize customer value and inform investment decisions. It leads AI discovery, experimentation, delivery, release readiness, responsible AI practices, stakeholder communication, and improvement of product team practices. GridUnity is a remote-first, mission-driven company focused on interconnection lifecycle management and accelerating a sustainable and resilient energy future. This role is restricted to individuals who qualify as U.S. persons under federal law.

Requirements

• Degree in data science, computer science, statistics, engineering, or a related STEM field, or equivalent experience.
• At least 7 years of experience in B2B SaaS software organizations.
• At least 4 years of experience working in a Product Owner role.
• At least 2 years of experience working on AI or data-heavy products requiring data science or analytics experience.
• Track record of shipping products and feature sets used by real customers, with measurable outcomes.
• Solid grasp of the machine learning lifecycle, including data preparation, training, evaluation, deployment, monitoring, and drift.
• Practical experience with LLMs and generative AI, including prompting, RAG, evaluation approaches, cost and latency tradeoffs, and agentic workflows.
• Ability to operate autonomously and comfortably with ambiguity at a senior level.
• Strong written and verbal communication skills, including the ability to move between technical and business content.
• Experience communicating effectively with executive-level stakeholders and identifying, synthesizing, and proposing risk-mitigation and opportunity-securing pathways.
• In-depth understanding of and experience with Agile software development methodology.
• Highly organized, with the ability to manage multiple projects and deliverables amid changing internal and external priorities.
• Eligibility as a U.S. person under federal law: U.S. citizen, lawful permanent resident, asylee, or refugee.

Nice To Haves

• Energy or utility industry experience and knowledge, including experience in transmission planning and/or interconnection processes.

Responsibilities

• Translate company and product strategy into a prioritized, outcome-based roadmap for deploying AI in GridUnity products.
• Engage customers to understand needs, test and validate concepts, and ensure the backlog reflects problems AI can solve.
• Define AI use cases and guide decisions about strategic value, build/buy/partner options, and sequencing.
• Work with growth, strategic operations, and engineering to define AI pricing models.
• Use data science to assess the feasibility, readiness, and value of AI use cases and communicate effectively with data science and AI engineers.
• Report on product area health, including adoption, satisfaction, and delivery predictability, and course-correct or stop initiatives that are not delivering value.
• Lead product solutioning with customer success, product design, and other team members to deliver scalable, configurable solutions for customer needs.
• Own the experiment-to-production path, including pilots, A/B tests, phased rollouts, prototypes, and spikes to validate assumptions before committing engineering resources.
• Write and refine user stories, acceptance criteria, and edge cases that support implementation and meet model performance thresholds.
• Assess data availability, quality, and labeling needs; identify solutions for data requirements and quality improvements.
• Own the AI backlog and share grooming of the broader backlog with other Product Owners so engineering has a clear, well-specified next set of work.
• Serve as the development team's decision-maker on scope, sequencing, and acceptance, and unblock engineering when requirements shift.
• Manage scope changes during releases while protecting sprint and quarterly commitments.
• Own release readiness and confirm that features address defined needs before launch.
• Ensure products meet standards for explainability, auditability, bias, data privacy, and controls.
• Work with security and operations on AI risk, customer data use, and model policies.
• Set requirements for model monitoring, human-in-the-loop review, and fallback behavior.
• Manage competing stakeholder demands across sales, customer success, executives, and engineering.
• Provide subject matter expertise and support to sales, including RFPs, demonstrations, training, and documentation.
• Keep leadership and stakeholders informed about status, risks, and tradeoffs through concise, structured communication.
• Mentor or set standards for less experienced Product Owners and promote best practices and continuous improvement across the Product Team.
• Collaborate with the Director of Platform Product Management to promote the use of AI to improve customer experience and product quality.
• Track model-level and business-level product metrics to maximize customer value and support data-driven product investment decisions.

Benefits

• Competitive compensation packages recognizing expertise and contributions.
• Remote-first culture providing 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 insurance and basic life insurance at no cost to the employee.
• 401(k) plan with a 4% match.
• Flexible paid time off.
• Mission-driven work with the opportunity to make a significant impact in the energy sector.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed