Senior Product Owner, AI Platform

WHO WE ARE

GridUnity is the industry leader in interconnection life cycle management, delivering cutting-edge software solutions that eliminate bottlenecks in the interconnection process and accelerate the transition to a more affordable, sustainable, and resilient energy future.

Our Mission

We unite all grid interconnection stakeholders on a single platform that converts centralized data into actionable intelligence and accelerates the transition to a reliable, sustainable, and cost-efficient electric grid.

GridUnity is a trusted partner to leading utilities, grid operators, and policymakers. Our technology solutions tackle the interconnection queue backlog by significantly reducing processing times. Whether cutting transmission interconnection timelines from years to months or enabling distribution applications to be processed within a day, we help accelerate energy projects at every scale.

• Our Vision
• Energizing the planet with a faster, smarter, and more sustainable grid.

About the role

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 on-going 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

OUR CULTURE

We are a lean, fast-moving team that values bold thinking, reliability, and continuous learning. We operate with radical transparency, embrace scrappiness, and build solutions that anticipate customer needs. We also believe work should be fun and fulfilling — what we call “funfillment.”

The right candidate is energized by working in a scaling, mission-driven company where they can shape processes, wear multiple hats, and grow alongside the business.

BENEFITS/PERKS

Competitive compensation packages that recognize your expertise and contributions

Remote-first culture that