G

Gigawatt AI

Modular AI OS for utility operations

Vice President Utility Value Engineer

Pre-Sales Solution EngineeringUpdated on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • At least 10 years of experience in utility strategy, operations, transformation, solution consulting, value engineering, business-value consulting, or enterprise technology advisory.
  • Deep expertise in electric, gas, or water utilities, including investment planning, core operations, technology decisions, and demonstrating value to stakeholders.
  • Ability to translate operational challenges and technology or software capabilities into quantified financial and business outcomes.
  • Experience shaping complex solutions and partnering across sales, product, engineering, services, and customer-success teams.
  • Technical curiosity and ability to develop fluency in an AI-native, data-intensive platform, its integrations, and its role within utility enterprise architecture.
  • Ability to create methods, tools, and repeatable practices while remaining hands-on in an early-stage environment.
  • Executive presence and strong written, presentation, and storytelling skills, including presenting investment cases to C-suite audiences.

Responsibilities

  • Translate utility priorities into a quantified case for change tied to operating outcomes, customer impact, cost reduction, risk, rate cases, and capital plans.
  • Partner with Account Executives to discover the customer’s operating model, strategic priorities, pain points, baseline performance, decision criteria, and sources of economic value across the buying committee.
  • Develop command of the Gigawatt suite and work with technical and product teams to connect platform capabilities to each utility’s operating environment, integration landscape, and transformation roadmap.
  • Develop transparent ROI, TCO, payback, CapEx, and OpEx analyses using customer data, defensible assumptions, industry benchmarks, and sensitivity scenarios, distinguishing validated inputs from hypotheses.
  • Turn operational and technical findings into concise investment cases, executive presentations, and decision materials for finance, procurement, technology, regulatory, and business leaders.
  • Connect investment rationale to utility budgeting, rate cases, capital planning, cost recovery, regulatory commitments, reliability, affordability, customer outcomes, and jurisdiction-specific considerations.
  • Lead structured working sessions with customer executives, operators, and subject-matter experts to align on problems, target outcomes, assumptions, solution scope, and measures of success.
  • Partner with Account Executives across demonstrations, proposals, RFIs and RFPs, business-case reviews, executive meetings, and commercial negotiations; anticipate objections and equip champions with evidence for internal support.
  • Build reusable benchmarks, value hypotheses, discovery tools, calculators, case studies, and module-specific value frameworks; bring market insight to Product and GTM teams to strengthen positioning and roadmap decisions.

Desired Qualifications

  • Direct experience in enterprise software, solution consulting, value engineering, or technology advisory supporting utility customers.
  • Experience developing ROI, TCO, CapEx/OpEx, business-case, or investment models.
  • Familiarity with utility regulatory processes, rate cases, capital planning, cost recovery, or grid modernization initiatives.
  • Experience supporting complex enterprise sales pursuits, including executive workshops, RFPs/RFIs, proposals, or commercial negotiations.
  • Experience in a high-growth, early-stage technology environment.
  • Bachelor’s degree or equivalent practical experience; an advanced degree in business, finance, engineering, economics, or a related field is a plus.

About the Company

Gigawatt AI

Modular AI OS for utility operations

Gigawatt AI offers a modular AI operating system for utilities to modernize operations without replacing core infrastructure. It layers onto existing systems via a central Utility Data Fabric that unifies data across customer, revenue, operations, and compliance domains, with connectors and AI agent orchestration for automated workflows. It ships modular AI applications (Customer Module, Revenue Module) and uses a land-and-expand approach, often deploying in 30–90 days to demonstrate ROI with low risk. Its goal is to enable AI-powered modernization at a controlled pace, improving customer experience, financial operations, regulatory compliance, and grid intelligence.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Nashville, TN
Founded
2025

Recently Posted Jobs

Explore more opportunities at Gigawatt AI

See more jobs