Engineering Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 9d ago
The date the source published, not the day we noticed it (2026-10-23). Last seen at its source 2h ago.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Remote (US Timezones)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $177.9k–243.5k/yr
Middle 50% of 278 listings that do state pay — Engineering · Manager · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 9d ago · last seen 2h ago
The listing
AI is transforming how every company operates, but most enterprises are stuck. They want to move fast with AI Agents, tools, and workflows, but they can't do it safely. We're fixing that.
Our team built AI Actions for OpenAI, shipped Zapier Agents to millions of users, and launched the first remote MCP server with Anthropic. We helped establish the protocol, and now we're building the platform enterprises need to actually put AI to work.
Runlayer is one platform for MCPs, Skills, and Agents: purpose-built security, fine-grained governance, and complete observability so organizations can go all-in on AI across the entire company without the risk. We just raised a $30M Series A led by Felicis, with participation from Khosla Ventures, bringing our total raised to $42M. Already trusted by Gusto, Instacart, Opendoor, dbt Labs, and Decagon.
ABOUT THE ROLE
You'll be one of Runlayer's first engineering managers. You'll lead a pod of engineers who ship hundreds of PRs a week with AI agents writing much of the code. Your job is to keep the bar high, the team growing and the work moving, while staying close enough to the code to call a bad design when you see one. We're hiring two: one to lead Product Engineering and one to lead Platform. The team is growing fast, and the scope of this role will grow with it.
WHY YOU'LL THRIVE HERE
Impact: Your pod ships the platform enterprises use to put AI agents to work safely. What you build reaches customers in days, not quarters.
Excellence: Work with the team that helped establish MCP, built AI Actions for OpenAI and shipped Zapier Agents to millions of users.
Ownership: Own your pod end to end: people, hiring, delivery, quality and on-call.
WHAT YOU'LL DO
Lead a pod of 6 to 10 engineers: weekly 1:1s, career growth, performance, and the hard calls when something isn't working
Stay hands-on: review PRs, ship code and debug production with your team
Run delivery: turn roadmap bets into scoped work, keep cycle time low, and make sure what ships solves the customer's problem
Own quality and reliability for your area: review standards, tests, incidents, postmortems and on-call
Hire: run your pod's interview loop, raise the bar and close the people you want
Make an AI-native team work at scale: review load, agent-written code, evals and the checks that stop slop from shipping
Partner with product, design and our Chief Architect on what to build and how to build it
WHAT WE'RE LOOKING FOR
7+ years in software engineering, including 2+ years managing engineers
A strong senior IC before you managed. You can still go deep in a design review or an incident.
You've grown a team at a startup: hired the people, set the bar, and moved someone out when it was right
You use AI coding agents every day and have a concrete answer to review overload and AI slop
Fluent in Python or TypeScript, comfortable with cloud infrastructure (AWS, Kubernetes, Terraform)
Direct communicator. You give hard feedback early and kindly.
You want to manage. People are the job, not a detour from it.
BONUS QUALIFICATIONS
Early engineer at a startup that grew from seed through Series B or beyond
Built security, identity, infrastructure or developer-tool products
Shipped to enterprise buyers with strict security and compliance requirements
Hands-on with MCP, agent frameworks or LLM-backed products
For the Platform seat: you've carried a pager and run incident response for a production platform
We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.
Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.
Paid time off — paid vacation, paid sick leave, and paid parental leave.
Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.
Health benefits — comprehensive health, dental, and vision coverage.
Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.
Not quite the right fit? Reach out to careers@runlayer.com with details about your experience and interests.