Head of Platform Engineering

Fieldguide Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• 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
• 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
• 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

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

🏖️ 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

Skills & Technologies

PostgreSQL

Kubernetes

Terraform

SSL

Onsite

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Fieldguide Inc.

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About Fieldguide Inc.

Fieldguide builds AI workflow automation software for advisory and assurance firms, combining generative AI, large language models and no-code orchestration to digitize risk assessments, evidence collection, report writing and continuous monitoring across SOC 2, PCI-DSS, HIPAA, HITRUST, ISO 27001 and other compliance frameworks. The cloud platform unifies client portals, project management, collaboration and analytics so CPA, cybersecurity and risk-consulting teams can reduce manual tasks, accelerate audits and scale advisory services while maintaining security and quality standards for mid-market to enterprise clients.

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