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Fieldguide

Software Engineer, Agents (Internal Audit)

San Francisco, CA (Remote)$170k–$300kfulltimemidAdded 2 months ago

About this role

Fieldguide seeks Deployed Software Engineers (all levels) to build innovative audit and advisory software that modernizes trust for global commerce. You'll design impactful features, work directly with customers to solve complex problems, and contribute to a collaborative engineering culture at a well-funded early-stage startup.

What you'll do

  • Design and deliver high-quality features that drive customer and business impact
  • Collaborate with customers, product, design, and GTM teams to identify and solve challenging problems
  • Balance rapid iteration with long-term system maintainability and reliability
  • Improve tech stack, developer workflows, and engineering practices
  • Contribute to a supportive, growth-oriented engineering culture
  • May include some travel to customer sites

What they're looking for

  • Software engineering fundamentals and production code experience
  • TypeScript, React, Node.js, Python, and GraphQL
  • Writing maintainable, well-tested, and observable code
  • Customer relationship building and problem-solving
  • Cross-functional collaboration and communication
  • Technical decision-making around tradeoffs and performance
  • Ownership mentality and project scoping
  • Continuous learning and feedback receptiveness

Benefits

  • Remote-first work environment (US-based)
  • Hybrid arrangement for Bay Area employees
  • Work at early-stage company with clear product-market fit
  • Opportunity to modernize legacy audit tools
  • Growth-oriented culture with mentorship
  • Competitive investor backing including Goldman Sachs and Y Combinator
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Fieldguide

Fieldguide builds audit and advisory software that modernizes trust and compliance for global commerce, with a focus on cybersecurity and privacy. The company is hiring Software Engineers, AI Engineers, and Production Support Engineers across all levels to design impactful features, develop agentic AI workflows, and drive system reliability.

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Likely interview questions

  • Tell us about a time you shipped a production feature end-to-end. How did you balance iteration speed with code quality and maintainability?
  • Describe your experience with our tech stack (TypeScript, React, Node.js, Python, GraphQL). Which have you used most deeply, and what would you want to learn?