Forward Deployed Engineer

Winter Venture LLC
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$220,000.0 - $320,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Bash Shell Software Debugging Python (Programming Language) Machine Learning Software Deployment Large Language Models Production Code

Job description

This is a founding Forward Deployed Engineer position at a fast-growing document AI company, sitting at the intersection of deep engineering and direct customer impact. You will own the full technical lifecycle for enterprise accounts, from pre-sales evaluations through post-sales success, and help shape what this function looks like from the ground up. The company is processing tens of millions of pages a month and growing rapidly. What You’ll Do

  • Partner with sales and solutions teams during pre-sales to run rigorous evaluations, build custom demo applications, and win competitive bake-offs.
  • Own post-sales technical success for a small portfolio of enterprise accounts, meeting regularly with customers to unblock issues and deepen adoption.
  • Build whatever is necessary to drive customer value, including eval applications, customized agents, or modifications to existing product surfaces.
  • Develop diagnostics, dashboards, and eval harnesses to measure performance and track regressions across customer environments.
  • Build close relationships with key customer stakeholders, especially technical ones.
  • Act as a feedback loop to product and engineering teams, surfacing usability gaps, unmet needs, and expansion opportunities.
  • Work directly with founders and customers to influence product direction and engineering strategy.

Requirements

  • 3 to 6 years of experience deploying software in production settings, ideally with enterprise or regulated customers.
  • Strong Python proficiency with a demonstrated ability to write, debug, and deploy production code; comfortable with Bash scripting for automation and tooling.
  • Hands-on experience with AI/LLM tools and a solid understanding of LLM and ML concepts beyond basic coding assistants.
  • Experience building custom applications, running evaluations, and debugging complex technical deployments independently.
  • Proven ability to lead technical customer calls, present solutions, and drive deal positioning alongside sales and customer success teams.
  • Comfortable engaging in technical discussions with enterprise customers in synchronous settings.
  • Strong CS fundamentals, ideally from a rigorous academic background.
  • Bonus: prior experience founding a company, building products at an early stage, or designing and running LLM/AI evaluations.

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