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Founding Commercial Lead, Energy

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Parisi Labs, Inc.
Full Time position
Listed on 2026-10-05
Job specializations:
  • Sales
    Technical Sales, Business Development
Salary/Wage Range or Industry Benchmark: 120000 - 178000 USD Yearly USD 120000.00 178000.00 YEAR
Job Description & How to Apply Below

About Parisi Labs

Parisi Labs is building world models for physical industry, starting with power. We are developing models that learn how a physical system behaves and reuse that understanding across forecasts, scenarios, and operational decisions.

Ask The Grid is our live public product for exploring the power grid, its markets, and its assets. It puts our work into people's hands and creates an entry point for deeper relationships with organizations that operate and depend on these systems.

We are a small team working across machine learning, data infrastructure, software, and real-world operations.

About the Role

We are hiring a Founding Commercial Lead to turn product interest and technical capabilities into paid customer deployments.

You will use Ask The Grid, targeted outreach, and founder relationships to engage energy companies making recurring, consequential decisions across assets and portfolios. Working with the founders, you will identify the most promising accounts, find a valuable first workflow, and build a path to broader adoption across each customer's assets, teams, and decisions.

This is a hands‑on individual‑contributor role with substantial influence on product and commercial strategy. You will own opportunities from discovery through evaluation, negotiation, and expansion. The founders will remain involved in technical selling and product commitments; our technical team will own implementation.

You will help establish what we sell and how we sell it - not inherit a finished sales playbook.

What You Will Own
  • Build a focused pipeline. Identify promising accounts through Ask The Grid engagement, relationships, and direct outreach. Prioritize organizations with important operational problems, credible buyers, and a feasible first deployment.
  • Understand the customer’s decisions. Investigate workflows, existing tools, economic stakes, available data, and operating constraints. Identify the people who will use, approve, and pay for a deployment.
  • Shape evaluations and proposals. Work with engineering and machine‑learning teammates to define a clear scope, baseline, success criteria, data requirements, and commercial next step. Connect technical performance to measurable customer value.
  • Close paid engagements. Lead demonstrations, develop pricing and proposals with the founders, navigate procurement, and negotiate agreements. Move opportunities from initial interest through evaluation into sustained paid use.
  • Expand successful relationships. Stay involved as deployments begin, help establish the value delivered, and identify additional assets, teams, and workflows that could benefit from the same models and data.
  • Build a repeatable commercial approach. Maintain an accurate pipeline and clear next steps. Bring recurring customer needs into product decisions, develop reusable sales materials and evaluation packages, and distinguish scalable opportunities from bespoke work.
What You Bring
  • Demonstrated commercial ownership. You have helped win and grow paid customer relationships for technical software, data, or analytical products. You can explain your contribution, who controlled the budget, how value was demonstrated, and why the customer bought.
  • Energy fluency. You understand power markets, energy assets, or utility operations well enough to conduct substantive discovery with operators and engineers. You can learn unfamiliar workflows quickly.
  • Technical understanding. You are comfortable discussing data, forecasting, evaluation, integrations, and deployment requirements. You do not need to be a researcher, but you must represent our capabilities accurately and recognize when to involve specialists.
  • Commercial and product judgment. You can distinguish user enthusiasm from buying intent,…
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