Founding Product Manager, Agents

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 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. 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.

• 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.

• 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.

• 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.

• Highlight concrete experience building or managing AI‑driven agents (e.g., OpenAI actions, Zapier bots, Anthropic MCP servers) in your resume and be ready to walk through a 10‑minute case study that shows the problem, your product vision, the roadmap you created, and the measurable impact (adoption, latency, safety metrics).
• Prepare an Excel‑based product analytics showcase: build a mini dashboard (using pivot tables, slicers, and Power Query) that tracks key agent KPIs such as request volume, error rate, and governance compliance; bring the file to the interview and explain how you’d use it for rapid decision‑making at Runlayer.
• Demonstrate familiarity with Runlayer’s core pillars—security, fine‑grained governance, and observability—by drafting a one‑page “Agent Safety Playbook” that outlines threat models, audit trails, and monitoring alerts you’d implement for a new enterprise‑level agent feature.
• When discussing product strategy, reference Runlayer’s recent $30M Series A and its investors (Felicis, Khosla). Position yourself as a “founding” PM who can translate that capital into a go‑to‑market plan: outline a 90‑day launch sprint, partner outreach (e.g., enterprise AI labs), and a pricing model that balances subscription revenue with equity‑based incentives for early adopters.
• Negotiate compensation by researching comparable founding PM roles at AI‑infrastructure startups (typically 0.2‑0.5 % equity plus a $150‑$180 k base for hybrid NYC/remote). Ask for a signing bonus or extra equity tranche tied to milestones like “first enterprise contract” or “MCP observability feature shipped,” showing you understand Runlayer’s growth targets.