Responsibilities
- Lead the design and evolution of Fieldguide's core platform services, including the foundational systems, APIs, and shared primitives that every product surface and agent depends on
- Build platform capabilities that compound the leverage of product and AI engineers, turning hard problems into reusable building blocks
- Define the architecture for how new product capabilities get delivered across our SaaS, enterprise single-tenant, and government-cloud environments
- Partner directly with product, design, and AI engineering leaders to understand customer needs and translate them into platform investments
- Drive cross-team initiatives that improve product velocity, system reliability, and consistency across the application
- Own the standards for service design, data modeling, and platform integration patterns used across Fieldguide
- Maintain and evolve the internal developer platform that supports the team, including deployment tooling, and agentic engineering capabilities
- Mentor senior and mid-level engineers across the org and raise the bar for platform engineering at Fieldguide
Requirements
- 10+ years of experience in software engineering, with significant time spent building product-facing platforms or foundational application services
- Strong product instincts and a track record of shipping platform capabilities that unlocked meaningful customer outcomes
- Deep experience designing APIs, services, and shared systems that other engineers build on top of
- Strong fluency with modern cloud platforms (AWS preferred), Kubernetes, and distributed systems
- Track record of operating as a technical leader across multiple teams without owning them directly
- Excellent judgment on what to build into the platform, what to leave to product teams, and what to buy
- Strong software engineering fundamentals and the ability to contribute to and review complex codebases
- Excellent written and verbal communication, with the ability to drive alignment across engineering, product, and design
- High agency and a bias toward owning problems end-to-end
Nice to Have
- Experience building platforms that power AI-native products, including agent frameworks, model orchestration, or LLM-powered application surfaces
- Experience designing platforms that support both multi-tenant SaaS and single-tenant enterprise deployments
- Experience as a founding or early platform engineer at a vertical SaaS or enterprise AI company
Benefits
- Competitive compensation with equity
- Comprehensive health and wellness benefits
- Flexible time off and work schedules
- Technology reimbursements
- 401(k) plan
- Twice-yearly in-person offsites across the U.S.
- Wellness benefits starting on your first day
Team
Structure: remote-first
