About The Position

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. Runlayer is 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 MCP 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, Cursor, and Decagon. We're a team of 35, mostly engineers, shipping fast. Agent operators on Runlayer grew 5x in four weeks while human operators stayed flat. The shift to agentic work is already showing up in our own usage.

Requirements

  • 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.

Nice To Haves

  • 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,

Responsibilities

  • 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.

Benefits

  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service