About the job
Join Our Team:
At Fieldguide, we are revolutionizing the foundation of trust in global commerce and capital markets by enhancing the efficiency of assurance and audit practitioners, specifically in cybersecurity, privacy, and financial audits. Our mission is to create innovative software that empowers those who foster trust among businesses.
Based in San Francisco, CA, we embrace a remote-first culture, allowing you to work from anywhere while achieving your best performance. Our company is proudly supported by leading investors, including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and many more.
Diversity is crucial to our success , we welcome individuals from all backgrounds and experiences to join us in shaping the future of audit and advisory. Our team at Fieldguide is inclusive, motivated, humble, and supportive. We are intentional and reflective about the culture we are building, seeking team members who excel in their skills and are dedicated to nurturing each other's development.
As a member of our early-stage startup, you will have the chance to help define the future of business trust. We simplify the work of audit practitioners by consolidating up to 50% of their tasks, promoting a healthier work-life balance. If you are passionate about fostering a vibrant culture and creating exceptional products, you will find your place at Fieldguide.
Your Responsibilities
Agent Infrastructure and Tooling: Design and manage the internal platform that ensures reliable and easily adoptable agentic workflows for our team: MCP integrations, prompt/skill libraries, shared configurations, knowledge management, and the tools that link agents to our codebase, documentation, and internal services.
Developer Experience for AI Workflows: Streamline AI usage for all team members by creating intuitive onboarding processes, comprehensive documentation, and clear pathways for common tasks (planning, testing, ticket creation, code review, production support), along with feedback mechanisms to assess effectiveness.
Measurement and Attribution: Develop systems to track efficiency metrics, agent performance, and overall team productivity.
Experimentation and Evaluation: Given the rapidly changing AI tooling environment, conduct structured trials of new tools, distill insights, and maintain an evolving perspective that guides the team.
Enablement and Culture: Provide training sessions, office hours, internal demonstrations, and coaching to uplift skills across the organization, ensuring that every engineer has the resources to succeed.
