Urrly

Urrly

Forward Deployed Engineer - Internal Products

Nashville, TN

No sponsorship$140k-$210kDetected 33 days ago
GitLeadership

About the role

  • Turn successful pilots into revenue and operational impact.
  • Work directly with executives and cross-functional teams.

Responsibilities

  • Build MVPs, prototypes, and proofs of concept.
  • Create business cases and go-to-market plans.
  • Validate ideas before major investment.
  • Impact & Growth Launch products that directly drive revenue, automation, and operational improvements.
  • You enjoy building from scratch.
  • Our goal is to create a more objective, consistent, and

Requirements

  • Git proficiency and SDLC fluency.
  • Deep experience with AI coding tools.
  • U.S. work authorization required.
  • Must-Haves 3+ years in product, engineering, or technical operations.

Nice to have

  • Medicare Advantage experience.
  • Startup founder or early-stage operator background.
  • Product engineering or forward-deployed engineering experience.
  • Direct exposure to leadership and fast decisions.
  • No travel required.
  • Modern stack with AI-assisted development tools.
  • Your work helps reduce the time from idea to pilot and shapes the organization's future growth strategy.
  • Motivation Fit You like ambiguity.

Compensation

  • $140k-$210k

Benefits

  • $140,000 - $210,000 base + bonus + equity
  • Bonus and equity opportunity.
  • Health, dental, and vision coverage.
  • 401(k) and generous PTO.
  • Flexible schedule focused on outcomes.
  • Apply Today to help build and launch the next generation of healthcare products using AI, modern tools, and direct access to leadership.

Company info

  • Join a healthcare technology company building the next generation of AI-powered products and growth initiatives.
  • Launch pilots with customers and partners.

Equal opportunity

  • equal opportunity hiring process for all applicants.

Visa & Work Authorization

  • work authorization required

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