Engineering Manager

Runlayer

17d

About The Position

Runlayer is hiring two of its first engineering managers: one to lead Product Engineering and one to lead Platform. Each manager will lead a pod of engineers building Runlayer’s platform for enterprise use of AI agents, MCPs, and Skills. The role combines people leadership and hiring with hands-on engineering, delivery, quality, and reliability ownership. Managers are expected to stay close to the code while helping their teams grow and ship customer-focused work quickly. The scope is expected to expand as the team grows.

Requirements

• At least 7 years of software engineering experience, including at least 2 years managing engineers.
• Prior experience as a strong senior individual contributor, with the ability to contribute deeply in design reviews and production incidents.
• Experience growing a team at a startup, including hiring, setting standards, and making personnel decisions.
• Daily use of AI coding agents and a concrete approach to review overload and low-quality AI-generated code.
• Fluency in Python or TypeScript.
• Comfort with cloud infrastructure, including AWS, Kubernetes, and Terraform.
• Direct communication skills, including the ability to give difficult feedback early and kindly.
• A clear interest in people management, with people leadership as the core of the role.

Nice To Haves

• Experience as an early engineer at a startup that grew from seed through Series B or beyond.
• Experience building security, identity, infrastructure, or developer-tool products.
• Experience shipping products to enterprise buyers with strict security and compliance requirements.
• Hands-on experience with MCP, agent frameworks, or LLM-backed products.
• For the Platform role, experience carrying a pager and running production-platform incident response.

Responsibilities

• Lead a pod of 6 to 10 engineers through regular one-on-ones, career development, performance management, and difficult personnel decisions.
• Stay hands-on by reviewing pull requests, shipping code, and debugging production issues with the team.
• Translate roadmap bets into scoped work, maintain low cycle time, and ensure shipped work addresses customer needs.
• Own quality and reliability for the team’s area, including review standards, tests, incidents, postmortems, and on-call.
• Run the pod’s interview process, maintain hiring standards, and close candidates.
• Help an AI-native team scale by addressing review load, agent-written code, evaluations, and checks that prevent low-quality code from shipping.
• Partner with product, design, and the Chief Architect on what to build and how to build it.

Benefits

• Competitive salary and equity.
• Paid vacation, paid sick leave, and paid parental leave.
• Budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
• Choice of laptop and accessories.
• Comprehensive health, dental, and vision coverage.
• Opportunities to work directly with innovative companies and see the impact of the work.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed