Head of Platform Engineering

About the role

Lead the Platform org that spans infrastructure, application platform, agentic engineering, and site reliability
Build the operating model for pillar roadmaps, service ownership, production readiness, platform scorecards, and cross-pillar architecture decisions
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

Requirements

• 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
• Able to write and communicate in concrete terms: tradeoffs, dependencies, owners, exit criteria, and sequencing

Qualifications

• 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

Skills

• 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

Pay

Compensation Range: $315K - $345K

Schedule

Not specified