Founding Product Manager, Agents
RunlayerThis Senior Product Manager role oversees the development of an enterprise-grade platform for AI agents and developer tools, focusing on both builder interfaces and runtime execution.
What you’d own
- The agent builder (natural language to working agent)
- Agent runtime (triggers, scheduling, and routing)
- Growth engine (Slack Agents and self-serve paths)
- Product telemetry for agent improvement
Who it’s for
A fit if you…
- ✓You have 8+ years of experience with at least 3 years in developer tools or platform products
- ✓You have 0-to-1 experience building builder/automation surfaces and understand PLG growth loops
- ✓You are technically deep enough to read code and design APIs/SDKs
- ✓You are an AI-native power user who builds with agents daily
Not for you if…
- ✗You prefer high-level strategy over hands-on discovery calls and writing PRDs
- ✗You require a large, established product team to provide direction
- ✗You are looking for a non-technical role without exposure to agent frameworks or SDK design
Reading between the lines
- The 'Founding' title and 'team of 35, mostly engineers' implies you will have high autonomy but very little non-technical product support.
- A requirement for 'strong writing' over 'slide decks' suggests a lean, documentation-heavy culture rather than a polished corporate presentation style.
- The focus on 'self-serve' and 'bottoms-up growth' implies you will be responsible for the viral loops of the product, not just feature shipping.
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Benefits
Full job description
ABOUT RUNLAYER
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
As the Founding PM for Agents, you'll own where agents and skills get built, shipped, and run at scale, the growth engine of our customers. That means the fastest path from an idea to a working agent or skill, for engineers and non-technical builders alike, plus everything that happens once it's built: agents running on schedules and triggers, calling each other, governed by Runlayer underneath, and getting better over time.
You'll work directly with the CPO, owning the roadmap from discovery through shipped product.
WHY YOU'LL THRIVE HERE
- Impact: Build the tools that turn one builder into a team, and a team into an org running on agents.
- Excellence: Work closely with founders who helped establish MCP and ship fast.
- Ownership: Own the builder and the runtime end to end, from discovery through shipped product.
WHAT YOU'LL DO
- Own the builder: natural language to working agent, self improvement, versioning, and sharing.
- Own the runtime: event-based triggers, scheduling, model routing, and agent delegation.
- Drive growth: Slack Agents, time-to-first-working-agent, and the self-serve path that turns one builder into a team into an org.
- Define how product telemetry makes agents better over time.
- Serve both audiences: the engineer who wants SDK depth and the non-technical builder who wants natural language. Run discovery directly with both.
- Make decisions, prioritize, and ship with engineers weekly.
WHAT WE'RE LOOKING FOR
- 8+ years in product management, including 3+ on developer tools, platform, or builder/automation products.
- Founder or early-PM experience; you've built product processes from zero.
- Shipped 0→1 builder or automation surfaces, with a grasp of PLG and bottoms-up growth: activation, time-to-value, and sharing loops.
- Technical depth: you read code and understand API/SDK design, agent frameworks, and how agents call tools.
- Customer obsession: you run your own discovery calls and can name five customers from your last role by first name.
- Strong writing; you make your case in clear PRDs, not slide decks.
- AI-native: you build with agents daily and have real opinions on how they should be created, orchestrated, and improved.
BONUS QUALIFICATIONS
- Hands-on building of MCP, skills, and how agents call tools and each other in production.
- Experience with workflow or agent orchestration, triggers, or scheduling systems.
- A track record turning a builder product into a growth engine (self-serve, templates,
WHAT WE OFFER
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 careers@anysource.com with details about your experience and interests.
About Runlayer
See all roles →Runlayer is a control plane that lets enterprises roll out AI agents safely across engineering, security, IT, and business teams. It offers a governed MCP gateway with a catalog of 18,000+ MCPs, lets domain teams package internal APIs and workflows as reusable agent capabilities, and adds identity controls, runtime security scanning, shadow-AI discovery, and spend monitoring so companies can adopt tools like Claude, Cursor, and ChatGPT without a lengthy review for every agent. Customers include Gusto, Lemonade, Opendoor, and dbt Labs. The founding team came out of Zapier (they built Zapier MCP and Agents) and has raised over $200M cumulatively across prior startups. The company is small, AI-native by default, and runs a direct, ship-fast culture.
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