Product Manager – Data Engineering, Fleet Telemetry

🕒 April 21

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SunStrong Management

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

⚡ Energy

🤝 B2B

🔥 Funding within the last year

💰 $900M Debt financing on 2025-11

Energy • B2B

SunStrong Management is an operations and asset management company that manages distributed solar and energy infrastructure on behalf of owners, institutional investors, and residential customers. The company specializes in field service operations & maintenance (O&M), billing and collections, and investor engagement and reporting, often stepping in to manage solar assets abandoned by originators to keep systems online and customers supported. SunStrong bridges sustainably minded capital partners and real-world infrastructure operations to deliver reliable performance and steady investor returns.

📋 Description

• Define the multi-year roadmap for our data ingestion platform, data lake, and telemetry systems • Own the end-to-end IoT telemetry strategy—instrumenting data collection from diverse solar inverters, and EV chargers across residential and commercial projects • Collaborate with engineering to design scalable ETL/ELT pipelines and data storage solutions for high-frequency time-series data • Partner with Technical Operations to standardize data models across multiple original equipment manufacturers (OEMs) • Develop the telemetry and control interface requirements for our Virtual Power Plant (VPP) program • Translate business requirements from asset managers and analysts into technical specifications for data engineers • Establish SLAs for data availability, latency, and accuracy across the fleet

🎯 Requirements

• 5+ years of product management experience • 3+ years in data engineering, IoT platforms, or data-intensive B2B SaaS products • Demonstrated experience in the renewable energy sector (solar, wind, storage) or smart grid technologies (VPP, DERMS) • Strong understanding of IoT protocols (MQTT, Modbus, OPC-UA), cloud infrastructure (AWS/Azure), and data processing technologies (Kafka, Spark) • Proficiency in SQL and ability to analyze large datasets to make data-driven decisions • Ability to map complex physical-to-digital workflows and simplify them through automation • Bachelor’s degree in Engineering, Computer Science, or a related technical field (preferred) • Experience with building real-time monitoring dashboards or predictive maintenance tools (preferred) • Background in energy market telemetry requirements (ISO/RTO) (preferred)

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities