Head of Platform Engineering

What You'll Do

• Lead the Platform org that spans infrastructure, application platform, agentic engineering, and site reliability.
• Own the deployable infrastructure surface, including SaaS regions in multiple geographies, a federal region, private deployments, and future multi-cloud regions.
• Build the operating model for pillar roadmaps, service ownership, production readiness, platform scorecards, and cross-pillar architecture decisions.
• Make API parity part of how Fieldguide ships customer-visible workflows, so Fieldguide can seamlessly integrate into audit firm workflows.
• Establish reliability practice across platform services, including owners, SLOs, dashboards, runbooks, incident review, and on-call health.
• Build Fieldguide's internal agentic engineering platform that powers how the Fieldguide EPD org does work.
• Partner with Product, Security/Compliance, Finance, Sales, and Customer Success on enterprise deployment options, catalog packaging, cost visibility, and customer commitments.
• Hire, coach, and develop TLs and managers who can own platform domains and pillars.

Who You Are

• Experience leading platform, infrastructure, or product-platform teams through a growth stage where multiple product teams depend on shared systems.
• Ability to reason across APIs, authorization, distributed systems, cloud infrastructure, reliability, developer experience, and AI runtime.
• Experience building teams with TLs or managers who own domains, roadmaps, and operational quality.
• Judgment on build-versus-buy tradeoffs for shared platforms, vendor dependencies, cloud services, and internal tools.
• Experience turning platform work into user-facing leverage, including API adoption, integration velocity, self-service paths, deployment options, reliability, and cost visibility.
• Comfort partnering with GTM teams on enterprise requirements.
• Familiarity with SRE practices, including SLIs, SLOs, incident review, production readiness, on-call health, and toil reduction.
• Ability to write and communicate in concrete terms: tradeoffs, dependencies, owners, exit criteria, and sequencing.

Bonus Points

• Familiarity with modern AI application infrastructure, including model routing, retrieval, evals, prompt and tool versioning, model cost attribution, and agent runtime behavior.
• Experience with private deployments, multi-region systems, FedRAMP or similar compliance work, or customer-managed environments.
• Experience building internal developer platforms or agentic engineering systems.
• Experience with Kubernetes, Terraform, managed Postgres, object storage, secrets management, CI/CD, observability, and cloud cost attribution.
• Prior experience as a founding or early platform leader at a vertical SaaS or enterprise AI company.

Benefits

• Competitive compensation packages with meaningful ownership.
• Flexible PTO.
• 401k.
• Wellness benefits, including a bundle of free therapy sessions.
• Technology & Work from Home reimbursement.
• Flexible work schedules.