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ProxProxSan Francisco, CA

Forward-Deployed Engineer

Forward-deployed engineer owning real-world AI product rollouts for manufacturers. Travel on-site to dealerships and customer sites to configure, test, train, measure adoption, debug issues, and drive product fixes from field feedback.

160k – 190k/yr
On-site5+ YOESolutions Architecture

About the role

Responsibilities

  • Own customer deployments from kickoff to successful rollout: learn workflows, configure Prox, test use cases, train users, monitor adoption.
  • Help roll out Prox across distributed networks (dealerships, support/sales teams, field reps): determine needs for tablets, desktops, dashboards, websites, connectors.
  • Build tests and evals to determine deployment readiness (accuracy on common questions, compatibility, citations, escalation, trust for technicians/sales reps).
  • Define and track rollout metrics: adoption, repeat usage, answer quality, escalation rates, quote completion, support deflection, latency, failed sessions.
  • Turn customer pain into product improvements: write specs, reproduce issues (bad retrieval, unstable integrations, poor UX), work with founding engineers to ship fixes.
  • Travel on-site to customers: sit with users, run trainings, debug workflows in person, build trust.

Requirements

  • Strong engineer who can build, debug, ship, and reason about systems without a perfect spec.
  • Customer-facing skills: communicate effectively with VPs, dealer principals, support reps, technicians.
  • Operationally intense: manage complex rollouts, resolve all loose ends.
  • Good product taste: distinguish "technically works" from "real user would trust this".
  • Comfortable with meaningful customer travel; enjoy field work.
  • High agency: unblock rollouts by finding customers, logs, engineers, workflows, queries.
  • Clear writer: turn feedback into Linear issues, specs, rollout notes, postmortems.

Nice-to-Haves

  • Experience with grounded AI systems, product reasoning, messy customer-facing workflows.
  • Background in technical support, product sales tools, or manufacturing/dealership environments.

Skills

Ai SystemsDeployment InfrastructureEvalsRollout AnalyticsDebuggingProduct SpecificationIntegrationsRetrieval SystemsCitationsMetrics Tracking
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