Head of Platform Engineering - Control Plane

As the Head of Platform Engineering – Control Plane, you will lead the development and implementation of our platform control plane initiatives, building a highly flexible, scalable, governed execution plane.

• Collaborate closely with cross‑functional teams, stakeholders, and technology partners to develop and integrate automation solutions that drive business growth, improve customer experiences, and reduce operational costs.
• Own the roadmap and delivery for control plane capabilities such as identity and access management, tenant boundaries, policy enforcement, approvals, evaluation gates, observability, auditability, Fin Ops, secrets management, and lifecycle/promotion workflows.
• Build and scale a highly flexible, scalable, governed execution plane.
• Establish reliable APIs, registries, workflow services, policy engines, and orchestration services with clear contracts for downstream engineering teams.
• Drive engineering excellence through architecture reviews, design standards, testing, CI/CD, observability, incident response, reliability practices, and operational metrics.
• Partner effectively with product, architecture, security, risk, compliance, operations, and domain engineering teams to turn ambiguous platform needs into scalable engineering outcomes.
• Communicate and influence across senior stakeholders, simplifying complex technical topics and aligning teams around platform standards.
• Maintain a high ownership mindset with a bias for durable, reusable platform capabilities over one‑off solutions.
• Lead and mentor software engineering teams, including hiring, coaching, performance management, and developing senior technical talent.

• Bachelor’s or master’s degree in computer science, engineering, management, or a related field.
• Strong people leadership experience managing software engineering teams.
• Deep hands‑on technical background designing, building, and operating distributed, cloud‑native platform services in production.
• Experience leading platform, infrastructure, developer platform, AI/ML platform, security platform, or other reusable enterprise engineering capabilities.
• Strong understanding of enterprise governance, security, risk, compliance, and operational controls required to safely run AI or data‑intensive systems in production.
• Experience building reliable APIs, registries, workflow services, policy engines, or orchestration services with clear contracts for downstream engineering teams.
• Proven ability to drive engineering excellence through architecture reviews, design standards, testing, CI/CD, observability, incident response, reliability practices, and operational metrics.
• Experience with AWS‑based platform engineering, including Bedrock, Sage Maker, Lambda, DynamoDB, API Gateway, EKS, IAM, Cloud Watch, and related Dev Ops tooling.
• Experience designing or operating multi‑tenant platforms with RBAC/ABAC, entitlement models, service accounts, policy‑as‑code, and secure cross‑account or cross‑environment access patterns.
• Experience establishing developer‑friendly paved roads, reference architectures, templates, SDKs, CLI tools, or self‑service workflows that improve adoption and reduce support burden.
• Experience working in regulated environments where security, compliance, data residency, retention, and auditability are first‑class platform requirements.
• Background in MLOps, LLMOps, AIOps, model lifecycle management, or production AI operations.
• Experience with vendor integration strategies that preserve portability and avoid lock‑in through stable platform interfaces and clear architectural contracts.
• Comfort operating in a matrixed, global organization with onshore/offshore teams, multiple stakeholders, and evolving platform priorities.
• Experience with agentic AI systems, LLM platforms, model gateways, tool/action gateways, agent registries, evaluation frameworks, or AI developer tooling.
• Familiarity with AI governance patterns such as prompt‑injection defense, PII handling, output filtering, risk tiering, model/tool allow‑lists, HITL controls, and audit trails.

New York, New Jersey or Pennsylvania. Up to 10% travel within the US.

• Competitive…