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Gigawatt AI

Modular AI OS for utility operations

Principal Product Manager - Customer, Back Office

Product ManagementUpdated on Nov 14
Full-timeRemote in USA

About the Job

Requirements

  • Significant product management experience building transactional or operational software at scale.
  • A track record shipping in utility customer operations, payments and billing, enterprise order management, or customer-service workflows.
  • Ability to write clear, detailed requirements for complex workflows, including failure and exception paths.
  • Experience working closely with engineering, design, operations, and domain experts to take products into production.
  • Sound judgment about reliability, customer impact, and when to automate versus involve a person.
  • Comfort working in an early-stage environment where priorities and ownership evolve.
  • Eight or more years in product management on back-office and/or call-center products, ideally payments, billing, and order management systems.
  • Direct experience with payments and back-office operations at a utility or utility software, including billing, service orders, and associated regulatory and compliance requirements.
  • Familiarity with payment arrangements and defaults, arrears aging, dunning and notice sequences, medical baseline and life-support protections, disputed balances, assistance eligibility, deposits, and reconnection rules.
  • Hands-on experience with enterprise order-management or fulfillment platforms and related intake, orchestration, status, and exception workflows.
  • Track record shipping trusted customer and agent payment and billing experiences, including payment methods, arrangements, and accurate posting.
  • Comfort building for high customer volume and transaction throughput, with reliability and edge-case handling in mind.
  • Understanding of customer-side service operations, including call-center or customer-service representative workflows and how customers start, manage, and pay for service.
  • Comfort applying AI and personalization to customer experience, data fluency, and measuring shipped outcomes.
  • Ability to bridge subject-matter experts and engineering, with structured problem-solving skills.
  • Ability to work effectively amid early-stage ambiguity, move quickly, and adapt as the role evolves.
  • Experience with Jira, Figma, and standard product-management tools.
  • Ability to describe a product that did not work as intended, what assumptions proved wrong, and what they would do differently.

Responsibilities

  • Own the roadmap for customer transactional experiences across self-service and the call center, including payments, billing, and orders.
  • Define high-value minimum viable products, validate them with customers and customer service representatives, and iterate on friction and edge cases.
  • Translate call-center, customer-experience, and billing expertise into clear specifications; determine what is true, out of scope, and required by filings, using AI-generated documentation and prototypes.
  • Drive releases of production-ready features with engineering and design on compressed timelines.
  • Define use cases and technical requirements, collaborate on data-model design, and conduct product testing to verify key requirements.
  • Make scope decisions, explain them to customers, and stand behind those decisions.
  • Set key performance indicators, including digital adoption and containment, first-contact resolution, customer satisfaction, and cost to serve, and manage platform dependencies.
  • Take on evolving ownership areas and other work needed to advance the platform.

Desired Qualifications

  • Direct utility or utility-software experience.
  • Knowledge of payments.
  • Utility or energy experience in customer operations.

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

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