Senior Data Platform Product Manager - Energy Forecasts

REsurety, Inc.

Boston (MA)

On-site

USD 125,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Robust medical benefits
401K and other benefits

Job summary

Resurety seeks a Senior Product Manager, Data Products to own the data platform powering CleanSight and CleanTrade. You will oversee data services, APIs, and data supply, turning scientific work into customer-ready capabilities. You’ll partner with Data Science to align models with customer value and own vendor relationships for datasets.

You will collaborate across Engineering, Research, Commercial, and Customer Success to drive reliability, coverage, and adoption of our data products.

Qualifications

  • 5+ years of product management with platform, API, data product ownership.
  • 3+ years in energy market domain (forecasting analytics, procurements).
  • Demonstrated depth to partner with engineers on data models and architecture.
  • Experience using AI tools as a multiplier for success.

Responsibilities

  • Own model and forecasting platform behind CleanSight, CleanTrade, and related products.
  • Define how data products are used, accessed (APIs, MCP), and measured.
  • Manage data availability across the platform and vendor relationships.
  • Collaborate with Research on fundamentals-based forecasts and revenue models.
  • Maintain a reliable, well-documented, scalable platform across teams.

Skills

Platform ownership
API / data product
Energy market domain
AI tools usage

Tools

Data models
Platform architecture

Job description

Resurety seeks a Senior Product Manager, Data Products to own the data platform powering CleanSight and CleanTrade. You will oversee data services, APIs, and data supply, turning scientific work into customer-ready capabilities. You’ll partner with Data Science to align models with customer value and own vendor relationships for datasets.

You will collaborate across Engineering, Research, Commercial, and Customer Success to drive reliability, coverage, and adoption of our data products.

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