Founding Commercial Lead, Energy

Parisi Labs•Boston, MA

2d•$120,000 - $178,000•Hybrid

About The Position

Parisi Labs is seeking a Founding Commercial Lead to drive customer acquisition and revenue growth for their innovative energy sector products. This role involves translating product interest and technical capabilities into paid customer deployments by engaging energy companies and identifying valuable workflows. The position is a hands-on, individual-contributor role with significant influence on product and commercial strategy, requiring the individual to own opportunities from discovery through negotiation and expansion. The successful candidate will help shape the company's sales approach and product offerings.

Requirements

Demonstrated commercial ownership in winning and growing paid customer relationships for technical software, data, or analytical products.
Energy fluency, including understanding of power markets, energy assets, or utility operations to conduct substantive discovery with operators and engineers.
Technical understanding, comfortable discussing data, forecasting, evaluation, integrations, and deployment requirements.
Commercial and product judgment to distinguish user enthusiasm from buying intent, navigate stakeholders, and turn customer requests into valuable engagements.
Hands-on execution skills, including prospecting, demonstrating, writing proposals, negotiating, and following through independently.
Precise communication and ability to create structure without an established sales organization.

Nice To Haves

Experience with early-stage companies.
Experience with industrial AI, energy software, forecasting, or optimization.
An existing energy-sector network.

Responsibilities

Build a focused pipeline by identifying promising accounts through product engagement, relationships, and direct outreach, prioritizing organizations with significant operational problems, credible buyers, and feasible first deployments.
Understand customer decisions by investigating workflows, existing tools, economic stakes, available data, and operating constraints, and identifying key stakeholders.
Shape evaluations and proposals by collaborating with engineering and machine-learning teams to define scope, baselines, success criteria, data requirements, and commercial next steps, linking technical performance to measurable customer value.
Close paid engagements by leading demonstrations, developing pricing and proposals, navigating procurement, and negotiating agreements.
Expand successful relationships by staying involved as deployments begin, establishing delivered value, and identifying additional opportunities for adoption across assets, teams, and workflows.
Build a repeatable commercial approach by maintaining an accurate pipeline, incorporating customer needs into product decisions, developing reusable sales materials, and distinguishing scalable opportunities from bespoke work.