Sr. Manager, Platform Engineering

About the role

The Senior Manager of Platform Engineering will lead a team of 6–8 engineers responsible for core platform services, infrastructure, developer experience, data platform, and the agent platform that enables AI agents to be deployed in the product.

Responsibilities

• Lead, coach, and develop a high-performing platform engineering team.
• Define and execute the platform engineering roadmap across core platform services, infrastructure, developer experience, data platform, agent platform, and agentic development adoption.
• Build the agent platform capabilities that enable product teams to create, test, deploy, monitor, and operate AI agents in the product.
• Lead adoption of agentic development practices across engineering, including tools, training, standards, and guardrails.
• Own cloud infrastructure, Kubernetes, CI/CD, environments, infrastructure as code, release tooling, monitoring, alerting, and internal automation.
• Improve the developer experience by making it easier for engineers to build, test, deploy, debug, and operate software.
• Own the data platform foundations, including data infrastructure, ingestion, orchestration, data quality, access controls, cataloging, and governance.
• Improve reliability, scalability, security, and cost efficiency across infrastructure, platform services, and data systems.

Requirements

• Experience leading platform engineering teams that own shared platform capabilities, infrastructure, developer productivity, and internal tooling.
• Experience driving adoption of agentic development practices across engineering teams, with demonstrated improvements in developer productivity, delivery speed, and software quality.
• Strong technical depth across AWS, Kubernetes, CI/CD, service architecture, observability, infrastructure as code, and modern software delivery.
• Strong execution skills, including planning, prioritization, stakeholder management, and follow-through.
• Ability to influence teams through clear communication, strong technical judgment, and practical enablement.
• Experience hiring, coaching, and developing senior engineers and technical leads.
• Minimum of 5+ years of experience directly managing engineers as their formal people manager.
• Built or led platform capabilities for deploying AI agents, such as agent orchestration frameworks, tool integration, context management, evaluations, and guardrails?

Qualifications

• Master's degree in Computer Science, Engineering, or related field.
• Proven track record of delivering complex technical projects on time and within budget.
• Experience with AI and machine learning technologies.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Experience with Kubernetes and container orchestration.
• Experience with CI/CD pipelines and continuous delivery.
• Experience with data platforms and analytics.

Skills

• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Passion for technology and innovation.

Benefits

• Competitive salary range of $210,000 - $230,000.
• Health insurance coverage.
• Flexible work schedule.
• Professional development opportunities.
• Employee referral program.

Pay

Salary range: $210,000 - $230,000

Schedule

Full-time