Senior Product Manager, Revenue (Meter Data Management)

Gigawatt

4d•Remote

About The Position

We are seeking a Senior Product Manager, Revenue (Meter Data Management) to own the meter data management roadmap end-to-end, from head-end ingest to billing determinants. This role involves defining high-value MVPs, validating correctness against real reads, and iterating quickly on edge cases and exceptions. The ideal candidate will translate metering, MDM, and billing expertise into clear specifications, enriched with AI-generated documentation and prototypes. You will execute by driving with engineering and design to release production-ready features on compressed timelines, managing the product lifecycle by defining use cases and technical requirements, collaborating on data model design, and conducting product testing. You will also own outcomes by setting KPIs (determinant accuracy, throughput, reconciliation rate, exceptions) and managing dependencies across the Revenue platform. This role requires a "wear many hats" mentality, doing whatever it takes to move the platform forward and taking on new areas of ownership as priorities evolve.

Requirements

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.
Strong knowledge of how MDM systems work: ingest, interval/scalar data, data quality, VEE and how they feed a billing flow.
Comfort reasoning about pipelines, reconciliation, and data-quality checks; SQL a plus.
Experience applying AI to data validation, documentation, or workflow automation.
Able to bridge SMEs and engineering; strong communication and structured problem-solving.
Thrive in early-stage ambiguity, move fast, and are comfortable with a role that grows and changes as the company scales.
Experience with Jira, Figma, and standard product management tools.

Responsibilities

Own the roadmap for meter data management end to end, from head-end ingest to billing determinants.
Define high-value MVPs, validate correctness against real reads, and iterate fast on edge cases and exceptions.
Translate metering, MDM, and billing expertise into clear specs, enriched with AI-generated documentation and prototypes.
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.
Set KPIs (determinant accuracy, throughput, reconciliation rate, exceptions) and manage dependencies across the Revenue platform.
Do whatever it takes to move the platform forward, and take on new areas of ownership as priorities evolve.