The Platform Engineering Manager leads a team responsible for building and operating an Internal Developer Platform (IDP) and the shared infrastructure capabilities that enable product engineering teams to ship software safely, quickly, and cost-effectively. This role combines people leadership, platform product thinking, and operational accountability to provide “paved roads” (golden paths), self-service workflows, and reliable runtime environments.

The **Observability Engineering Manager** leads a team responsible for building and operating an organization’s observability capabilities—logs, metrics, traces, profiling, alerting, and service-level reporting—so engineering teams can detect, diagnose, and prevent customer-impacting issues efficiently. This role blends people leadership with platform engineering, reliability practices, and cross-functional enablement, ensuring observability is treated as a product with measurable outcomes.

The Mobile Engineering Manager leads one or more mobile engineering teams responsible for building, shipping, and operating customer-facing mobile applications (iOS and/or Android) that meet quality, security, performance, and product outcomes. This role balances people leadership and delivery accountability with strong technical judgment across mobile architecture, release engineering, and operational excellence.

The **MLOps Manager** leads the engineering and operations capability that enables machine learning (ML) models to be reliably built, deployed, monitored, governed, and improved in production. This role sits at the intersection of ML engineering, platform engineering, DevOps/SRE, data engineering, and security—translating data science output into resilient, auditable, cost-effective production services.

The Machine Learning Engineering Manager leads a team that designs, builds, deploys, and operates machine learning (ML) systems that deliver measurable product and business outcomes. The role blends people leadership with hands-on technical direction across model development, ML platforms (MLOps), production reliability, and cross-functional delivery.

The **Infrastructure Engineering Manager** leads the team responsible for designing, building, and operating the compute, network, storage, and platform foundations that enable software engineers to ship reliable products quickly and safely. This role balances **people leadership**, **operational excellence**, and **technical direction** to ensure infrastructure is scalable, secure, cost-effective, and aligned to product and business priorities.

The Head of SRE leads the organization-wide strategy and operating model for reliability, availability, performance, and operational excellence across production systems. This role sets the standards, practices, and team capabilities that enable engineering teams to deliver features quickly while meeting explicit service-level objectives (SLOs) and risk tolerances.

The Head of Site Reliability Engineering (SRE) owns the reliability, availability, performance, and operational excellence of the company’s production systems and customer-facing services. This role sets the SRE strategy, operating model, and reliability standards while leading teams that build scalable automation, observability, incident response capabilities, and resilient infrastructure patterns across the engineering organization.

The **Head of Reliability Engineering** is accountable for ensuring that the company’s production systems and customer-facing services are **available, resilient, performant, and recoverable** at the scale required by the business. This role sets the reliability strategy, operating model, and engineering standards that reduce customer impact, control operational risk, and enable teams to ship safely and frequently.

The Head of Platform Engineering is accountable for building and operating an internal developer platform that enables product engineering teams to ship software faster, safer, and more reliably. This leader owns the strategy, roadmap, and execution for shared platform capabilities (cloud foundations, CI/CD, infrastructure automation, observability, reliability practices, and developer experience), and ensures these capabilities are adopted and measurably improve delivery outcomes.

The Head of MLOps is accountable for building, operating, and continuously improving the end-to-end platform, practices, and operating model that reliably takes machine learning (ML) and AI solutions from experimentation to production at scale. This leader ensures models are deployed safely, monitored effectively, governed appropriately, and iterated quickly—while meeting reliability, security, privacy, and cost expectations.

The **Head of Machine Learning** is the senior engineering leader accountable for translating business strategy into machine learning (ML) capabilities that are reliable, scalable, and economically valuable. This role sets the ML vision and operating model, leads ML engineering and applied science teams, and ensures ML systems are production-grade through strong MLOps, governance, and measurable outcomes.

The Head of Infrastructure Engineering is accountable for designing, building, and operating the company’s infrastructure platforms and core reliability capabilities that enable product engineering teams to ship software safely, quickly, and cost-effectively. This role leads the infrastructure engineering organization (often including cloud infrastructure, Kubernetes/platform engineering, networking, observability, and incident management) and ensures infrastructure is scalable, secure, and operationally mature.

The Head of Infrastructure is the senior leader accountable for the reliability, scalability, security, and cost-effectiveness of the company’s production and corporate infrastructure platforms. This role establishes the infrastructure strategy and operating model, leads infrastructure engineering and operations teams, and ensures the infrastructure enables product delivery at the required performance and availability levels.

The Head of Engineering is the senior engineering leader accountable for building and operating high-performing software engineering organizations that deliver secure, reliable, and scalable products at a predictable cadence. This role translates product and business strategy into an executable engineering plan, establishes the operating model (teams, processes, metrics), and ensures engineering outcomes meet quality, reliability, cost, and security expectations.

The **Head of DevOps** is the senior leader accountable for how software is built, released, operated, and improved in production—balancing **speed of delivery**, **reliability**, **security**, and **cost efficiency**. This role owns the DevOps/SRE/platform engineering strategy and operating model, ensuring engineering teams can deliver changes safely and repeatedly while meeting uptime and performance expectations.

The Head of Data Engineering is the senior leader accountable for building and operating the organization’s data engineering capability: the platforms, pipelines, governance mechanisms, and teams that turn operational data into trusted, secure, and scalable data products. This role owns the data engineering strategy and execution across ingestion, transformation, orchestration, storage, quality, and reliability—enabling analytics, reporting, experimentation, and machine learning.

The **Head of Cloud Engineering** is the senior engineering leader accountable for the design, reliability, security, cost efficiency, and evolution of the company’s cloud platforms and shared infrastructure services. This role directs cloud engineering teams responsible for landing zones, networking, identity, compute platforms, CI/CD enablement, observability foundations, infrastructure as code, and operational automation that product teams depend on to ship and run software safely at scale.

The Head of AI Engineering is a senior engineering leader accountable for building and operating the company’s AI engineering capability end-to-end: from model-enabled product features and AI services to the platforms, pipelines, quality controls, and operational practices that make AI reliable in production. This role translates AI strategy into scalable engineering execution—ensuring AI systems are safe, observable, cost-effective, compliant, and aligned with product and business outcomes.

The **Global Head of SRE** is the senior engineering leader accountable for end-to-end reliability, resilience, and operational excellence of the company’s production systems and customer-facing services across all regions. This role sets the global Site Reliability Engineering strategy, builds and leads high-performing SRE teams, and partners with Product Engineering, Security, and IT to ensure that availability, latency, durability, and operational readiness meet business objectives.

The **Global Head of Platform Engineering** is the accountable executive for designing, building, operating, and evolving the company’s internal platform(s) that enable product engineering teams to deliver software **securely, reliably, and efficiently at scale**. This role owns the platform engineering strategy and operating model across regions, aligning developer experience, reliability engineering, security, and cost management into a cohesive capability that accelerates product delivery while reducing operational risk.

The **Global Head of Cloud Engineering** is the senior leader accountable for the strategy, build-out, and operational excellence of the company’s cloud platform(s), cloud infrastructure, and enabling engineering capabilities used by product and technology teams worldwide. This role ensures that cloud environments are secure, reliable, scalable, cost-effective, and easy for engineering teams to consume through self-service patterns and standardized platform services.

The **Frontend Engineering Manager** is a people-and-technical leader responsible for building, operating, and continuously improving the client-side engineering capability that delivers customer-facing web experiences. This role ensures the frontend team ships reliable, secure, accessible, and high-performing UI features aligned to product strategy while developing engineers through coaching, feedback, and clear expectations.

The Engineering Manager is accountable for delivering reliable, secure, and maintainable software by leading an engineering team and owning execution against a defined product or platform scope. This role combines people leadership, delivery leadership, and technical stewardship to ensure the team ships value predictably while continuously improving quality, engineering health, and operational performance.

The **Director of SRE** leads the strategy, operating model, and execution of Site Reliability Engineering to ensure production services are **reliable, scalable, secure, and cost-effective** while enabling high-velocity product delivery. This role owns reliability outcomes across customer-facing and internal platforms by aligning engineering teams to clear service level objectives, building robust incident management practices, and investing in automation to reduce operational toil.

The Director of Software Engineering is a senior engineering leader accountable for the delivery, reliability, and evolution of multiple software teams and the systems they own. The role balances near-term execution excellence with medium-term capability building—improving engineering throughput, quality, and operational performance while scaling people, process, and platform foundations.

The **Director of Site Reliability Engineering (SRE)** is accountable for ensuring that customer-facing platforms and critical internal services are **reliable, scalable, secure, and cost-effective** while enabling high-velocity product delivery. This leader sets reliability strategy, defines and enforces operational standards (SLOs/SLIs, incident management, change risk controls), and builds an SRE organization that reduces toil through automation and effective platform engineering practices.

The Director of Security Engineering leads the engineering strategy, delivery, and operations of security capabilities that protect a software company’s products, platforms, and customers. This role owns the security engineering roadmap and the teams building and operating security controls across cloud infrastructure, application delivery pipelines, identity, detection/response, and security tooling automation.

The Director of Platform Engineering leads the strategy, delivery, and operation of the internal platform that enables engineering teams to build, deploy, and run software safely and efficiently. This role aligns infrastructure, developer experience, reliability engineering, and delivery automation into a cohesive product-like platform capability that accelerates business outcomes while improving operational resilience and cost transparency.

The Director of Machine Learning Engineering (MLE) leads the design, delivery, and operations of production-grade ML systems that reliably create measurable product and business outcomes. This role owns the end-to-end engineering execution for ML-powered capabilities—from data and feature pipelines through model development, deployment, monitoring, and lifecycle governance—while building an organization that can scale ML safely and efficiently.