Resourceful Talent Group

Resourceful Talent Group

Founding Product Engineer

San Francisco, California, United States

Sponsorship not specified$185k-$260kDetected 22 days ago
TypeScriptReactNext.jsNode.jsFull-Stack DevelopmentSQLPostgreSQLLLMsAgentic AIProduct StrategyRoadmappingCommunicationProblem Solving

About the role

  • This is a rare opportunity to work directly with the founding team, take ownership of core product development, and play a key role in shaping both the product and the engineering culture.

Responsibilities

  • Build and ship product features across the full stack, from concept to production Design scalable frontend and backend solutions using modern web technologies Develop integrations with third-party platforms and APIs Build AI-powered features using LLMs and agent-based workflows Collaborate closely with the founders on product strategy, technical decisions, and roadmap planning Move quickly, solve complex problems, and continuously improve the product based on customer feedback

Compensation

  • $185,000 to $260,000 base + meaningful early-stage equity About the Role We are hiring a Founding Product Engineer for our client, a well-funded, fast-growing AI startup that is transforming how professional services firms operate through intelligent automation.
  • With strong customer traction, paying clients already using the product, and an ambitious roadmap ahead, they're looking for an exceptional engineer who wants to help build a category-defining product from the ground up.
  • This is a rare opportunity to work directly with the founding team, take ownership of core product development, and play a key role in shaping both the product and the engineering culture.

Visa & Work Authorization

  • market demand and paying customers Hybrid schedule in San Francisco (3 days in office) Relocation assistance available Visa transfer support for qualified candidates High-impact role with significant ownership and opport

This listing is sourced directly from Resourceful Talent Group's careers page and normalized into a canonical job model.