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Senior Product Manager, Customer

Gigawatt AI
Remote
Remote· about 2 hours ago

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Senior Product Manager, Customer (Back Office)

Location: Remote (United States)

Department: Product Management

Key Responsibilities

  • Own payments, billing & orders: Drive the roadmap for the customer transactional experience across self-service and the call center.
  • Ship MVPs: Define high-value MVPs, validate with real customers and CSRs, and iterate fast on friction and edge cases.
  • Engage SMEs: Translate call center, CX, and billing expertise into clear specs, enriched with AI-generated documentation and prototypes.
  • Execute: Drive with engineering and design to release production-ready features on compressed timelines. Drive the product lifecycle by defining use cases and technical requirements, collaborating on data model design, and conducting product testing to ensure key requirements are met.
  • Own outcomes: Set KPIs (digital adoption/containment, first-contact resolution, CSAT, cost to serve) and manage dependencies across the platform.
  • Wear many hats: Do whatever it takes to move the platform forward, and take on new areas of ownership as priorities evolve.

Qualifications

  • Experience: 8+ years in product management on back-office and/or call center products ideally payments, billing, and order management systems.
  • Utility domain: Direct experience with payments and back-office operations at a utility (or utility software) — billing, service orders, and the regulatory/compliance realities that come with them.
  • Orders & fulfillment at scale: Hands-on experience with enterprise order management / fulfillment platforms and the workflows around them (intake, orchestration, status, exceptions).
  • Payments & billing: Track record shipping payments and billing experiences : payment methods, arrangements, and accurate posting : that customers and agents trust.
  • High scale, high volume: Comfortable building for high customer volume and transaction throughput, where reliability and edge-case handling matter.
  • Customer operations: Understanding of the customer side of a service business : call center / CSR workflows and how customers start, manage, and pay for service; utility or energy experience a plus.
  • Data & AI: Comfort applying AI and personalization to customer experience; data fluency and a habit of measuring what ships.
  • Collaboration: Able to bridge SMEs and engineering; strong communication and structured problem-solving.
  • Startup mindset: You thrive in early-stage ambiguity, move fast, and are comfortable with a role that grows and changes as the company scales.
  • Tools: Experience with Jira, Figma, and standard product management tools.

Location

  • Remote prioritizing central and eastern timezones (ideally Chicago, Austin, or Nashville).

What We Offer

  • Competitive salary and equity.
  • The chance to shape a transformative AI product in a vital industry with a rock-star team.
  • Comprehensive benefits: health insurance, remote flexibility, and 401k match.
  • If you are passionate about modernizing the systems that run America’s utilities, apply today!

About the Company

Job Summary

We are seeking a Senior Product Manager for Gigawatt’s Customer team, the group building an AI-native customer platform with one goal: make the utility customer experience effortless. It replaces reactive, transactional, billing-centric systems with a proactive, omni-channel platform that treats the utility as a trusted advisor across web, mobile, and the call center.

Your focus is the transactional backbone of that experience : payments, billing interactions, and service orders : delivered at high customer volume across self-service and the call center. This is an early-stage, build-it-from-the-ground-up role; as we grow, PM ownership may organize by function (for example, a PM for payments and a PM for back office), so you’ll start broad and your scope will sharpen and shift over time. Reporting to the Director, Customer, you’ll partner closely with utility SMEs, call center and CX leaders, and AI engineers to:

  • Own service orders end to end : start / stop / transfer service and the request lifecycle : with reliable orchestration and status tracking (a “Domino’s-tracker” model) from intake to completion.
  • Own payments and billing interactions : pay a bill, payment methods, arrangements, and program enrollment : built for accuracy at scale.
  • Deliver these through self-service on web and mobile and the AI-assisted call center, keeping one source of truth so context carries across every channel.
  • Turn exceptions into resolution : surface issues proactively and resolve them digitally where possible, rather than leaving customers in a black hole.

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