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Verily

Precision health tech leveraging data science

Director – Developer Platform and AI Transformation

Engineering LeadershipPosted on Nov 11
Full-timeHybrid

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience, and 12+ years of software engineering experience, including 5+ years leading platform or infrastructure organizations and 5+ years of management experience.
  • Demonstrated leadership of developer platform or developer productivity functions supporting hundreds of engineers, with measurable improvements in delivery speed and reliability.
  • Deep expertise in GitHub, CI/CD, infrastructure as code, cloud platforms, and identity and access management such as Okta.
  • Hands-on experience with frontier AI models such as Claude or Codex, MCP, and agentic workflows, with sound judgment on their practical strengths and limitations.
  • A proven track record of leading internal AI adoption that delivered measurable productivity gains for engineering and non-engineering teams, including cost controls and monitoring.
  • A strong bias for action and ownership, balancing delivery speed with sound governance, staying close to technical decisions, and influencing across a large organization without direct authority.

Responsibilities

  • Own the end-to-end software development lifecycle toolchain, including GitHub, GitHub Actions, CI/CD, build and release pipelines, and foundational developer services such as Okta identity and access management.
  • Manage the developer platform as an internal product, using developer research and productivity data to improve the developer experience, set priorities, and guide the roadmap.
  • Ensure the reliability, observability, and cost efficiency of CI/CD and core developer tooling against defined service-level objectives.
  • Partner with Security and Governance, Risk, and Compliance teams to secure the software supply chain and maintain auditable pipelines that meet regulatory requirements such as FISMA and FedGov.
  • Integrate AI across the software development lifecycle, including coding agents, code review, testing, and deployment, with appropriate security, privacy, and cost guardrails.
  • Define and execute the enterprise AI enablement strategy and roadmap, and manage the portfolio of internal and third-party AI solutions, including build-versus-buy decisions.
  • Partner with operations, finance, legal, and product engineering leaders to identify and prioritize high-value AI opportunities and redesign workflows using AI agents.
  • Build and operate a shared AI harness encompassing an agentic platform, MCP integrations, reusable skills, and an enterprise knowledge graph.
  • Establish AI governance with Security, Privacy, Legal, and Governance, Risk, and Compliance teams, covering acceptable use, protected health information, agent identity and permissions, and auditability.
  • Implement AI cost management, including usage monitoring, budget controls, and cost-per-outcome reporting.
  • Lead enablement and change management through training and champion networks, and institutionalize proven AI practices and patterns across the organization.
  • Recruit, develop, and retain engineering managers and senior technical talent, and own organizational design, performance management, and budget.
  • Partner with engineering, product, and business leaders, and report to executive stakeholders on engineering productivity, including DORA metrics, AI adoption, cost, and business impact.

Desired Qualifications

  • Experience in regulated industries such as healthcare or life sciences, including HIPAA compliance and auditable development practices.
  • Experience securing agentic systems and establishing evaluation frameworks for large language models and agents.
  • Experience with Kubernetes, ephemeral development environments, or sandboxed agent execution.
  • A customer-focused approach to internal platforms, with a record of building solutions that engineering and business teams readily adopt.

About the Company

Verily

Precision health tech leveraging data science

Verily uses data science and clinical expertise to improve health outcomes through precision health by collecting and analyzing medical, lifestyle, and environmental data to tailor interventions for individuals and communities. Its products include the Baseline Platform for clinical research and COVID-19 testing programs, care management solutions, and medical devices, delivered through partnerships with healthcare providers, researchers, public health authorities, and government bodies. Verily stands apart by integrating diverse data sources at scale, emphasizing health equity through programs like Onduo, and collaborating with public sector partners while maintaining strong data security and privacy. Its goal is to uncover new health insights and bring precision health to everyone, improving health outcomes across populations.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$3.8B
Headquarters
Dallas, TX
Founded
2015

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