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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI product management, including defining use cases, managing backlogs, and leading cross-functional teams. Proficient in data science methodologies and the ML lifecycle, with a strong focus on delivering measurable outcomes in B2B SaaS environments.
Highest-signal resume keywords
AI Product ManagementData Science MethodologiesML Lifecycle ManagementB2B SaaS ExperienceAgile Software Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningAI Use Case DefinitionProduct RoadmappingUser Story WritingA/B TestingData Quality AssessmentFeature ShippingGenerative AILLM Experience
Soft Skills
Effective CommunicationStakeholder ManagementMentoringOrganizational SkillsAutonomous Operation
Industry Keywords
Energy IndustryUtility IndustryTransmission PlanningInterconnection ProcessesB2B SaaS
About the role
Key responsibilities & impact- Set strategy and roadmap for GridUnity Intelligence Platform technical capabilities and GALE AI
- Translate company and product strategy into a prioritized, outcome-based AI roadmap
- Engage customers to understand needs, test concepts, and validate AI use cases
- Define AI use cases and assess build/buy/partner and sequencing tradeoffs
- Collaborate with growth, strategic operations, and engineering on AI pricing models
- Use data science to assess AI feasibility, readiness, and value
- Report on product health, including adoption, satisfaction, and delivery predictability
- Lead product solutioning with customer success, product design, and other team members
- Own the experiment-to-production path, including pilots, A/B tests, and phased rollouts
- Write and refine user stories, acceptance criteria, edge cases, and model performance thresholds
- Assess data availability, quality, and labeling needs
- Own the AI backlog and share grooming of the larger backlog
- Act as development team decision-maker for scope, sequencing, and acceptance
- Manage scope creep and own release readiness
- Ensure explainability, auditability, bias, data privacy, and controls standards
- Define monitoring, human-in-the-loop review, and fallback requirements
- Manage competing stakeholder demands and support sales with RFPs, demonstrations, training, and documentation
- Keep leadership and stakeholders informed about status, risk, and tradeoffs
- Mentor less experienced product owners and promote continuous improvement
- Collaborate with the Director of Platform Product Management to advance AI use
Requirements
What you’ll need- 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)
- 4+ years experience working in a Product Owner role
- 2+ years 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 ML lifecycle: data prep, 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
- Energy/utility industry experience and knowledge is preferred, including transmission planning and/or interconnection processes
- Ability to operate autonomously and with ambiguity at a senior level
- Skilled written and verbal communication across technical and business content
- Experience communicating effectively with executive-level stakeholders and proposing risk-mitigation and opportunity-securing pathways
- In-depth understanding of Agile software development methodology
- Highly organized, able to manage multiple projects and deliverables amid changing priorities
- Must qualify as a U.S. person under federal law: U.S. citizen, lawful permanent resident, asylee, or refugee
- Must be legally authorized to work in the United States; GridUnity does not provide visa sponsorship
Benefits
Comp & perks- Competitive compensation packages
- 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 and basic life insurance at no cost
- 401(k) plan with a 4% match
- Flexible PTO
- Mission-driven work with opportunity to make a significant impact in the energy sector
- Bonus offered