Senior Product Manager

You will own the product strategy, roadmap, and commercial outcomes for Market Data — the ISO and public data (EIA, NWS, and others) Yes Energy collects, and the value we build on top of it across our UI, API, Snowflake, and data lake products. This role requires deep nodal power market fluency and genuine data fluency, because the value of this data is entirely contextual to how customers use it to make trading and investment decisions. The hard part of this job isn't collecting the data. It's deciding which derivative products are worth building, what customers will value, and how to define a roadmap that advances how energy market participants work, and helps move the industry forward.

Responsibilities

Own the product strategy, roadmap, and commercial outcomes for Market Data; Own the development of business cases for new proprietary datasets and delivery products, with accountability for ARR and retention outcomes; Lead product discovery for new initiatives — testing business viability and willingness to pay for new datasets and derivative products; Define next-generation derivative datasets where deep market and data expertise directly determines what's worth building; Own sequencing of collection and maintenance priorities ahead of ISO market changes; Own data discoverability and usability of Market Data; Translate superior data quality into customer-facing features and messaging; Drive ARR growth for Market Data across current and new markets, owning the strategy behind pricing, packaging, and expansion opportunities; Drive successful product adoption and commercial results by ensuring positioning, messaging, and launches clearly communicate customer value; Stay ahead of the market by translating ISO and regulatory change into roadmap decisions; Drive product decisions by turning usage data and customer signals into a roadmap customers are bought in on; Continuously analyze trends in deregulated electricity markets and translate what it means for customers and products; Monitor competitor products and market activity to maintain differentiation and relevance; Identify and mitigate product and market risks to support long-term viability and customer satisfaction; Coordinate roadmap decisions across Data Engineering, Data Quality, Market Monitoring, and downstream product teams; Represent the customer and the business case in executive and cross-departmental forums, with the authority to push back on priorities that don't hold up

Requirements

5+ years of product management experience in a SaaS environment; Strong domain understanding of regulated nodal power markets (ERCOT, PJM, etc.); Experience owning product-level commercial outcomes — revenue, cost, margin, or retention — and using that data to make investment tradeoffs; Experience owning data quality, lineage, or governance for a data product — accountable when it isn't clean, not just a downstream consumer; Demonstrated ability to test commercial viability (pricing, willingness to pay) before building, not just after; Demonstrated ability to synthesize regulatory, market, and customer insights into product strategy; Excellent communication and collaboration skills across technical and non-technical audiences; Analytical mindset with comfort in making decisions based on quantitative and qualitative data; Experience building analytical or data science work products (models, dashboards, pipelines) that directly supported trading or investment decisions; Bachelor's degree in Business, Computer Science, Engineering, Information Systems, Data Science, Geography/GIS, or a related field (or equivalent experience); Deep fluency in ISO/RTO operations and energy data; Deep fluency in financial data, real-time market analytics, or complex data products in regulated industries; Strong proficiency working with Agile software development frameworks and project tracking tools, specifically Jira; Hands-on experience with data cleansing, mapping, and enrichment — not secondhand data consumption; Ability to work with SQL, Snowflake, Oracle, DataBricks, Python, or R for self-service product analytics; Experience defining and tracking product KPIs, usage metrics, and feature adoption indicators; Use AI tools (Claude, Claude Code, ChatGPT) to prototype, draft user stories, synthesize customer research, and collaborate with engineering in agentic development workflows; Strong SQL skills and hands-on experience with data platforms such as Snowflake, Oracle, Tableau, or Sigma to independently query, manipulate, and extract product insights; Ability to align Sales, Customer Success, Engineering, and executives around hard tradeoffs — including saying no; High attention to detail and ability to balance competing demands from multiple internal and external stakeholders

Nice to have

Energy or regulated utilities domain experience

Benefits

Medical insurance; 401(k) Plan with matching; Flexible vacation; Flexible work schedules; Professional development funding; Real bonuses