Product Manager - Data Engineering & Fleet Telemetry

The Role We are seeking a Product Manager for Data Engineering and Fleet Telemetry to own the strategy, vision and roadmap for our data lake and IoT telemetry infrastructure. You will act as the bridge between hardware operations and data science, ensuring high‑frequency, reliable data flow from thousands of assets into actionable insights. As a key member of the Product Leadership team, you will define requirements for how we ingest, store, process and act on data from heterogeneous IoT devices to optimise asset performance, predictive maintenance and VPP participation. Responsibilities Strategy & Vision: Define the multi‑year roadmap for our data ingestion platform, data lake and telemetry systems to support scale‑up from hundreds of thousands of devices to millions. IoT & Telemetry Ownership: Own the end‑to‑end IoT telemetry strategy – instrumenting data collection from diverse solar inverters and EV chargers across both residential and commercial projects. Data Architecture Mapping: Collaborate with engineering to design scalable ETL/ELT pipelines (e.g., Kafka, Spark, Airflow) and data storage solutions (e.g., S3, Iceberg/Parquet) for high‑frequency time‑series data. OEM Integration: Partner with Technical Operations to standardise data models across multiple original equipment manufacturers (OEMs). VPP & Control Capabilities: Develop the telemetry and control interface requirements for our Virtual Power Plant (VPP) program, ensuring reliable, low‑latency communication for grid services. Product Requirements (PRDs): Translate business requirements from asset managers and analysts into technical specifications for data engineers. Data Reliability & Quality: Establish SLAs for data availability, latency and accuracy across the fleet. Required Qualifications Experience: 5+ years of product management experience with 3+ years specifically in data engineering, IoT platforms or data‑intensive B2B SaaS products. Renewable/Energy Expertise: Demonstrated experience in the renewable energy sector (solar, wind, storage) or smart grid technologies (VPP, DERMS). Technical Acumen: Strong understanding of IoT protocols (MQTT, Modbus, OPC‑UA), cloud infrastructure (AWS/Azure) and data processing technologies (Kafka, Spark). Data Fluency: Proficiency in SQL and ability to analyse large datasets to make data‑driven decisions. Systems Thinking: Ability to map complex physical‑to‑digital workflows and simplify them through automation. Preferred Qualifications Bachelor’s degree in Engineering, Computer Science or a related technical field. Experience building real‑time monitoring dashboards or predictive maintenance tools. Background in energy market telemetry requirements (ISO/RTO). #J-18808-Ljbffr