Sr. Product Manager, Fleet Telemetry

SunStrong Management, LLC•Houston, TX

About The Position

The Sr. Product Manager, Fleet Telemetry owns what the fleet telemetry and data platform organization builds and in what order across residential, commercial and industrial, and utility-scale solar, wind, storage, and EV charging assets. The role owns product definition for fleet telemetry ingestion and processing, underlying data architecture, device and OEM integrations, portfolio onboarding and OEM platform management, energy production forecasting, and Virtual Power Plant (VPP) telemetry and control requirements. The position translates demand from operations, asset management, and O&M into specified, sequenced work for a data engineering and platform team with finite capacity, and productizes processes that are currently manual. It requires comfort with both residential and utility-scale renewable assets and the telemetry and data platform that supports them. The role is based in Houston, TX or remote, with 10–25% travel.

Requirements

  • At least 5 years in product management, product ownership, or technical program management delivering software, including at least 3 years on a data-intensive, IoT, or platform product.
  • Demonstrated experience in the renewable energy or smart-grid sector, such as solar, wind, storage, EV charging, VPP, or DERMS.
  • Working knowledge of field monitoring, metering, and data acquisition, including OEM hardware and monitoring platforms, data loggers and gateways, IoT communication protocols, and cellular site connectivity.
  • Familiarity with leased, PPA, and securitized portfolios, including production and availability guarantees, interconnection and net metering arrangements, REC and incentive programs, and investor reporting obligations.
  • Strong understanding of cloud data infrastructure and pipeline and processing technologies used for high-frequency time-series data.
  • Proficiency in SQL and working fluency with APIs and data models, including the ability to read a schema, query production data, and hold substantive design conversations with senior engineers.
  • Ability to map complex physical-to-digital workflows and simplify them through automation.
  • Fluency with AI tools such as coding assistants, LLM-based analysis, and agentic workflows applied to product and analytical work, with sound judgment about when outputs must be verified.

Nice To Haves

  • Experience building or specifying real-time monitoring dashboards or predictive maintenance tooling.
  • Background in energy market telemetry requirements (ISO/RTO).
  • Bachelor's degree in engineering, computer science, information systems, data science, or a related technical field.

Responsibilities

  • Own and prioritize a single roadmap and backlog across fleet telemetry ingestion, the data lake and platform, device and OEM integrations, and VPP/grid-services software; defend sequencing to operations, asset management, and finance.
  • Write build-ready requirements covering problem statement, system context, data definitions, acceptance criteria, and scope boundaries, maintained in Jira and Confluence as the system of record.
  • Evaluate build, buy, and OEM-native options for new capabilities and document recommendations, their rationale, and the operating cost of each path.
  • Own the end-to-end IoT and telemetry strategy, including reliable, high-frequency data collection from heterogeneous OEM hardware across residential and commercial/utility-scale sites.
  • Collaborate with data engineering to design scalable ingestion and storage architecture, including ETL/ELT pipelines and a cloud data lake or warehouse for high-frequency time-series data.
  • Productize portfolio onboarding and OEM platform management, replacing manual work across OEM monitoring portals, tenant and credential administration, and site transfers with defined processes and automation.
  • Define requirements for energy production forecasting using historical performance, system configuration, and near- and long-term weather and irradiance forecasts.
  • Define site monitoring, gateway, and connectivity workflow requirements with hardware and edge engineering, including commissioning, device replacement, and outage handling.
  • Develop telemetry and control-interface requirements for the VPP program to support reliable, low-latency grid-services communications.
  • Define requirements for automated production and attribute feeds to REC registries and market programs, partnering with the teams that administer them.
  • Set fleet data quality targets and SLAs for completeness, accuracy, timeliness, and latency; work with QA and data engineering to instrument, alert on, and report against them.
  • Report measures of fleet and telemetry software performance, including data coverage and latency, site communications health, time to onboard a portfolio, manual touches per transaction, and adoption of delivered capabilities.
  • Apply AI and agentic workflows to product work such as requirement drafting, ticket triage, case analysis, and OEM capability review, and define where outputs must be verified before informing build decisions.
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