Job SummaryWe are seeking a
Senior Product Manager for Gigawatt's Revenue team, the group building an AI-native meter-to-cash platform that turns the utility CIS from a system of record into a system of intelligence.
Your mandate is to rethink the meter usage ingest process end to end, from meter to cash. That means owning how meter data is captured, validated, and turned into accurate billing determinants, and then enabling the platform to use that data more intelligently to power rates, programs, marketing, data science, and beyond, so utilities can better serve their customers. Get it right, and a utility bills accurately, at scale, with full auditability; get it wrong, and everything downstream breaks.
This is an early-stage, build-it-from-the-ground-up role, and the meter is where you'll start and not where you'll stop. As we build the platform, your scope will grow and shift; we're looking for someone energized by ambiguity who wants to own new areas of meter-to-cash over time. Reporting to the Director of Product: Revenue, you'll partner closely with utility SMEs, metering experts, and AI engineers to:
- Define how meter data is ingested and reconciled across interval and scalar sources.
- Run VEE (validation, editing, estimation) and data-quality guardrails on the way into the core.
- Assemble precise billing determinants (kWh, TOU-bucketed kWh, demand kW) for the tariff and billing engines.
- Set the standard for how meter data flows through our unified model so that Gigawatt handles interval data and VEE natively in the core, not via a bolt-on MDM.
Key Responsibilities- Own Meter: Drive the roadmap for meter data management end to end, from head-end ingest to billing determinants.
- Ship Product: Define high-value MVPs, validate correctness against real reads, and iterate fast on edge cases and exceptions.
- Engage SMEsTranslate metering, MDM, and billing expertise into clear specs, enriched with AI-generated documentation and prototypes.
- Execute: Drive with engineering and design to release production-ready features on compressed timelines. Drive the product lifecycle by defining use cases and technical requirements, collaborating on data model design, and conducting product testing to ensure key requirements are met.
- Own outcomesSet KPIs (determinant accuracy, throughput, reconciliation rate, exceptions) and manage dependencies across the Revenue platform.
- Wear many hatsDo whatever it takes to move the platform forward, and take on new areas of ownership as priorities evolve.
Qualifications- Experience: 8+ years in product management, with a proven track record of working directly with utilities to gather requirements and building metering, billing, or complex, data-intensive platforms in the energy sector.
- MDM & metering: Strong knowledge of how MDM systems work ingest, interval/scalar data, data quality, VEE and how they feed a billing flow.
- Data fluency: Comfort reasoning about pipelines, reconciliation, and data-quality checks; SQL a plus.
- AI: Experience applying AI to data validation, documentation, or workflow automation.
- Collaboration: Able to bridge SMEs and engineering; strong communication and structured problem-solving.
- Startup mindset: You thrive in early-stage ambiguity, move fast, and are comfortable with a role that grows and changes as the company scales.
- Tools: Experience with Jira, Figma, and standard product management tools.
Location- Remote (ideally Bay Area. Chicago, Austin, or Nashville).
What We Offer- Competitive salary and equity.
- The chance to shape a transformative AI product in a vital industry with a rock-star team.
- Comprehensive benefits: health insurance, remote flexibility, and 401k match.
