Technical Product Manager — Revenue & Data Lead (Hampton, VA)

Egreenservices; Hampton (VA); Presencial; USD 86.000 - 129.000; Jornada completa

Descripción de la vacante

Energy Partners LLC in Hampton, VA is seeking a Technical Product Manager to own forecasting and roadmap execution. You will map revenue leaks across handoffs, translate ambiguous problems into solvable workstreams, and coach stakeholders through the math behind reallocations.

The role focuses on setting fair targets for Hampton teams and building trust through data-driven decisions. Ideal candidates bring 8+ years of experience, strong data interpretation, and a clear, jargon-free communication

Formación

• 8+ years building trust the slow, unglamorous way.
• Comfort interpreting data and translating findings into clear recommendations.
• Meticulous attention to detail across every deliverable.
• A communication style that translates jargon back into plain English.

Responsabilidades

• Map where revenue leaks between handoffs across the business funnel
• Translate ambiguous business problems into structured, solvable workstreams
• Coach manager stakeholders through the math behind a hard reallocation
• Set the targets Hampton, VA teams are measured against and make them fair
• Rebuild a target that the VA team stopped believing in
• Develop and track KPIs that measure progress against Energy Partners LLC objectives
• Pull apart a stalled deal and rebuild the path to yes
• Turn messy SQL data into an one-page story executives read before coffee

Conocimientos

Data interpretation

Roadmap prioritization

SQL proficiency

Stakeholder communication

Descripción del empleo

Energy Partners LLC in Hampton, VA is seeking a Technical Product Manager to own forecasting and roadmap execution. You will map revenue leaks across handoffs, translate ambiguous problems into solvable workstreams, and coach stakeholders through the math behind reallocations.

The role focuses on setting fair targets for Hampton teams and building trust through data-driven decisions. Ideal candidates bring 8+ years of experience, strong data interpretation, and a clear, jargon-free communication