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RoadRunner

AI-native platform automating quote-to-cash

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • A track record of owning technical delivery end-to-end, ideally with real customers or stakeholders depending on the outcome.
  • Strong engineering fundamentals and the ability to build quickly without compromising important quality standards.
  • Comfort with ambiguity and the ability to navigate unfamiliar customer systems and processes to find a practical solution.
  • High autonomy and a builder's mindset, with the ability to determine and complete needed work without waiting for a specification.
  • Clear, direct communication with engineers and the revenue and business leaders with whom the role is embedded.
  • Willingness to travel occasionally to be on-site with customers when needed.
  • Based in San Francisco or willing to relocate to San Francisco.

Responsibilities

  • Embed with customers, work with Revenue Operations and Sales leaders, turn difficult pricing and approval problems into shipped features, and remain accountable until they are solved.
  • Own technical delivery end-to-end in production, from technical discovery through go-live, including scoping, building, and ongoing operation.
  • Convert one-off customer solutions into product features for the core platform.
  • Deploy and tune proactive artificial intelligence agents for quoting recommendations, deal modeling, and multi-step approval workflows using real customer data, then iterate based on production behavior.
  • Identify product issues under real enterprise complexity and communicate them to the core team promptly.

Desired Qualifications

  • Direct experience working inside customer environments as a forward deployed engineer, solutions engineer, implementation engineer, or consultant while shipping production code.
  • Product management experience combined with willingness to engage in technical conversations and own outcomes.
  • Empathy for end users and the ability to inspire others to act.
  • Experience as a founder or early engineer with full ownership of outcomes.
  • Experience turning a single customer's one-off request into a broadly shipped product feature.
  • A side project demonstrating personal technical or creative interests.

About the Company

RoadRunner

AI-native platform automating quote-to-cash

RoadRunner is an AI-native revenue infrastructure platform that replaces legacy CPQ systems to streamline quote-to-cash for enterprise sales. It offers PQA—Prompt, Quote, Approve—a conversational, AI-powered stack that generates quotes via prompts, suggests deal structures from historical data, enforces pricing policies, and automates complex approval routing, including consumption-based pricing and multi-product bundles. The product uses a modular data model to speed up loading times and simplify configuration, and RoadRunner handles client migrations with its own engineers to model catalogs and rebuild rules. The goal is to create a digital deal desk that increases efficiency, accuracy, and speed across the entire sales cycle from initial prompt to renewal management, targeting large enterprise customers.

Company size
11-50
Company stage
Series A
Total funding
$27M
Headquarters
San Francisco, CA
Founded
2025

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