Manager of Platform Services

The Team 

Central Tech Platform Engineering builds and operates the shared capabilities that make it easier for engineering teams to develop, deploy, and run reliable software. Our developer-focused platform provides core services, tooling, and standards that help teams move quickly while maintaining security, scalability, and operational excellence. 

The Platform Services team owns a portfolio of foundational platform services that are critical to the developer experience and the broader technology ecosystem. We are a small, global, highly collaborative team that combines strong engineering judgment with a service-oriented mindset. 

The Role 

We are seeking a Manager of Platform Services to lead ateam responsible for the strategy, delivery, reliability, and ongoing evolution of key platform services. 

This leader will balance people management, technical leadership, and execution. You will help shape the roadmap for a set of services within a larger developer platform, ensure those services are dependable and easy to consume, and work closely with engineering teams, product partners, infrastructure teams, external software vendors, and emerging AI capabilities. The ideal candidate is technically credible, communicates clearly with both technical and non-technical stakeholders, and can lead high-impact initiatives from planning through delivery. 

Responsibilities 

• Lead, coach, and develop a small team of platform engineers, fostering a culture of ownership, collaboration, technical excellence, and continuous improvement. 

• Own the delivery, operational health, and lifecycle management of a portfolio of platform servicesused by internal engineering teams (source control system, code quality tooling, internal developer portal, etc.). 

• Define and execute service roadmaps that align with Central Tech Platform Engineering priorities and the needs of platform consumers. 

• Provide technical direction on service architecture, scalability, reliability, security, observability, and developer experience. 

• Partner with engineers, product managers, architects, and other stakeholders to understand needs, prioritize work, and communicate plans, tradeoffs, and outcomes. 

• Lead execution for critical projects, including cross-functional initiatives with complex dependencies, tight timelines, or significant operational impact. 

• Establish and improve operating practices for service reliability, incident response, change management, performance monitoring, and continuous delivery. 

• Identify practical opportunities to apply AI-enabled developer tools and platform capabilities to improve engineering productivity, service operations, and developer experience. 

• Build productive relationships with external software vendors, including evaluating capabilities, managing technical integrations, resolving issues, and influencing product roadmaps where appropriate. 

• Translate technical complexity into clear, actionable communication for leadership, customers, and partner teams. 

• Contribute to the broader developer platform strategy by identifying opportunities to simplify workflows, improve adoption, and reduce friction for engineering teams. 

Requirements 

• Experience leading engineering teams, including setting goals, managing priorities, and supporting career growth. 

• Strong technical background in software engineering, platform engineering, infrastructure, cloud services, or a related discipline. 

• Experience building, operating, or supporting highly available, scalable services in a production environment. Some will be SaaS platforms, while others will be self-hosted/self-managed in AWS using Kubernetes, RDS and modern cloud native technologies. 

• Demonstrated understanding of modern platform concepts, such as APIs, distributed systems, CI/CD, observability, reliability engineering, security, and developer tooling. 

• Proven ability to lead complex technical projects across multiple teams and deliver measurable results. 

• Strong communication and stakeholder-management skills, with the ability to explain technical decisions clearly to varied audiences. 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 

Preferences 

• 1-2 years of direct management experience 

• Experience working with third-party software vendors, including technical evaluation, implementation, support escalation, and relationship management. 

• Knowledge of current AI capabilities and developer-focused AI tooling, including LLM gateways, agent runtimes and code-gen workflows.