Product Manager - Commercial Modeling & Simulation

Verse is a company focused on managing complex power portfolios for energy buyers, leveraging their Energy Cost Intelligence platform, Aria. They are seeking a Product Manager to own the end-to-end modeling and simulation platform for distributed storage and solar assets, ensuring that the outputs meet the necessary standards for capital allocation decisions.

Responsibilities:

• Own the product vision and roadmap for Verse’s commercial modeling platform, spanning data ingestion and cleaning, tariff modeling, dispatch simulation, scenario analysis, and customer-facing results visualization
• Drive the data pipeline strategy for ingesting and normalizing customer-provided meter data across varying formats, granularities, time zones, and quality levels
• Partner with Data Science to scope and deliver simulation capabilities including battery and solar dispatch modeling, multi-value-stream co-optimization (bill savings, coincident peak, grid services), revenue stacking, sensitivity analysis (including Monte Carlo methods), and multi-year lifecycle projections
• Own the tariff modeling layer, working with Data Science and Engineering to build and maintain accurate representations of utility rate structures (TOU, demand charges, capacity markets, wholesale exposure) that can be applied to both retrospective bill validation and forward-looking savings forecasts
• Scope and deliver a simulation UI that allows users to configure inputs, run and compare scenarios, save and retrieve historical results, and export presentation-ready outputs, serving both technical analysts and commercial stakeholders
• Collaborate with commercial teams to ensure modeling outputs (proposals, financial models, before/after billing calculators, portfolio rollups) meet the rigor required to close enterprise deals and inform capital allocation decisions
• Conduct user research with energy analysts, sales engineers, portfolio managers, and enterprise energy teams to deeply understand evaluation workflows, data availability constraints, and decision criteria
• Write detailed PRDs with user stories, acceptance criteria, and technical specifications, coordinating delivery across Engineering, Data Science, and Design against contractual milestones