Prox
Forward-Deployed Engineer
San Francisco, CA
Sponsorship not specifiedDetected 16 days ago
Customer Support
About the role
- Your job is to make that expansion measurable, stable, and successful. ⊹ Based in San Francisco when not traveling.
- The goal is simple: every manufacturer should be able to make their best product specialist available everywhere, instantly.
- WHY THIS ROLE EXISTS Our bottleneck is not making impressive demos.
Responsibilities
- Own deployments from kickoff to successful rollout.
- dealerships, support teams, sales teams, field reps, and internal product experts.
- tablet experience, desktop workflow, admin dashboard, website entry point, internal support flow, or connector.
- Build the tests that tell us whether a deployment is actually ready.
- adoption, repeat usage, answer quality, unresolved questions, escalation rates, dealer activation, quote/configuration completion, support deflection, latency, failed sessions, and customer-reported issues.
Requirements
- ⊹ good product taste - you can tell the difference between "technically works" and "a real user would actually trust this"
- ⊹ clear writer - you can turn messy customer feedback into crisp Linear issues, specs, rollout notes, postmortems, and product decisions
Skills
- launch customer deployments, travel on-site, debug what breaks, measure whether users trust it, and turn rollout pain into product.
- ⊹ A real rollout might start with one champion, expand to a pilot group, then move across 100+ dealerships across the US.
- Your job is to make that expansion measurable, stable, and successful.
- ⊹ Based in San Francisco when not traveling.
Company info
- Customers do not buy a model.
- They are sales reps, service managers, technicians, dealers, support teams, and customers trying to get work done.
- Travel to customers, sit with users, watch them use the product, run trainings, debug workflows in person, and build trust with the people whose jobs Prox is changing.
This listing is sourced directly from Prox's careers page and normalized into a canonical job model.