--- title: 'Product Manager - Learning & Enablement at Runlayer' canonical: 'https://feeny.ai/job/product-manager-learning-enablement-runlayer-jpq4w2rsh3cp' type: 'job' last_seen: '2026-11-07' --- # Product Manager - Learning & Enablement at Runlayer - **Company:** Runlayer - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-11-07 - **Apply:** https://jobs.ashbyhq.com/runlayer/410855d9-1cca-4098-983c-32cd469f0631/application **Skills:** AI agent tooling, LLM applications, Voice agent design, Program design, Training program development > Own the end-to-end design, build, and execution of onboarding and enablement programs, starting with the GTM team. The role focuses on compressing ramp time through AI-native tools, hands-on labs, and continuous readiness training for new hires. ## 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 a Product Manager - Learning & Enablement, you'll own how new Runners get up to speed: the design, the build, and the execution of onboarding and enablement from end to end. You'll start where the need is sharpest, our scaling go-to-market team, with a mandate that grows across the company from there. Your job is to compress ramp time, and to do it the Runlayer way. Here's what we mean. The old playbook is slide decks, thirty Zoom walkthroughs, and a feedback survey. We're not doing that. Our onboarding puts new hires inside the product on day one: they use it, feel where it breaks, and learn why we built what we built before anyone hands them a talk track. We've already built the v1 of this program, including an AI tutor agent that drills new hires, simulates customer objections, and reports on their progress. You'll take it over, run it, and make it world-class. ## Why You’ll Thrive Here - Impact: Every hire we make ramps through your program. As we scale GTM, the speed at which a new AE, SDR, or SE becomes productive is the speed at which the company grows. - Excellence: You'll work directly with our VP of Go-to-Market and Head of Operations, with a mandate to build the most elite onboarding program in enterprise software. - Ownership: This is a build role. You own the content, the calendar, the certification gates, the AI agents that power the program, and the results. ## What You'll Do - Own onboarding end to end. Design, build, and run the program that takes a new hire from signed offer to certified and selling. You own ramp time as a number and are accountable for moving it down. - Evolve our onboarding program. We've taken the first cut: a structured first week built around hands-on labs, certification gates, and real product use. You'll pressure-test it, run it with every cohort, and rebuild it as the product and team grow. - Build AI-native enablement. Conceive and design interactive sessions and voice agents that simulate customer calls, test product knowledge, and pressure-test objection handling. You won't need to write the code yourself, but you'll shape what these agents do, calibrate them against real cohorts, and spot the gaps that keep them from teaching well. - Teach the product by feel, not by slides. New Runners should sell from experience: they've deployed the platform, broken it, governed it, and built with it. You'll keep that principle at the core of everything you ship. - Enable the field beyond week one. Ongoing readiness as we launch new products, enter new segments, and refine positioning. Onboarding is the start; keeping the team sharp is the job. - Grow the scope. GTM is the starting point, not the ceiling. Parts of the program already double as the company-wide layer for every new Runner, and as we scale, this role is positioned to own enablement across the company. ## What We're Looking For - 5+ years of experience in enablement, sales, customer success, or another GTM role where you built programs that made other people better. - Enablement fundamentals. You've designed onboarding or training programs before and know what separates a program that certifies real skill from one that schedules meetings. - AI-native instincts. You use AI heavily in your own work and have a formed perspective on what enablement should look like in a world of agents. If we ask how you'd use AI to onboard a sales team, you have real answers. - First-principles builder. You don't start from the standard playbook. You start from "what does this person need to be able to do, and what's the fastest honest path there." - Time in the field. You've sold, supported, or sat close enough to revenue to have credibility with the people you're enabling. - Exceptionalism somewhere. Team captain, founder, athlete, world-class Rubik's cube solver. We don't care what it is. We care that you've pushed yourself to be excellent at something. Bonus Qualifications - You carried a quota before moving into enablement. - You've been an early or first enablement hire and built the function from zero. - You've built or shipped something with AI agents, voice agents, or LLM tooling. - You're in NYC or want to be. We'd love this person in the office. ## 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 with details about your experience and interests. ## About Runlayer ## Company Overview - **One-liner**: Runlayer provides an AI control plane that enables enterprises to securely govern, deploy, and monitor AI agents and tools across their organization. - **Entity Type**: Private (Series A) - **Headquarters**: New York, New York, United States - **Founded**: 2025 - **Founders**: Andrew Berman (CEO), Tal Peretz, Vitor Balocco ## Core Business - **Primary industry**: Enterprise AI Security & Governance / AI Infrastructure - **Target customers**: B2B, Enterprise (engineering, security, IT, operations, and business teams) - **Mission or purpose statement**: Give every employee the golden path to use agents, then watch adoption multiply. AI enablement, security, and control in one platform. ## Products & Services - **Runlayer Agents**: On-demand agents running on Runlayer infrastructure. Employees can create agents for recurring work while platform owners keep approved tools, scoped credentials, policy, and audit in place. - **Runlayer Catalog**: Reusable skills and plugins teams can publish and share with agents, giving AI capabilities an owner, approval state, dependency context, and usage history. - **MCP Gateway**: Approved MCP (Model Context Protocol) access across AI clients and third-party agents, routing requests through identity, policy, and audit controls. - **Runlayer Watch**: Shadow AI discovery and response tool that finds unmanaged MCPs, skills, plugins, and client configs. - **Runlayer Guard**: Execution-time security checks for AI tool use, inspecting risky tool behavior before sensitive actions continue. - **Agent IAM & Governance**: Actor-aware access control for AI usage, evaluating who is acting, which client or agent is involved, and what conditions apply. - **ROI & Observability**: Adoption metrics, decisions, findings, and audit history showing what teams use and where access is blocked. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of $41M ($11M Seed in November 2025, $30M Series A in June 2026) - **Notable Investors/Partners**: Felicis (lead), Khosla Ventures (lead). Backed by the best minds in AI & security, including the Head of Security from Cursor. - **Growth Signals**: - Raised $30M Series A in June 2026 from Felicis & Khosla Ventures - Named to "Rising in Cyber 2026" - Named the default for AI-native teams like Instacart, Gusto, Lemonade, dbt Labs, and AngelList - Headcount of 24 employees with +11.5% monthly growth - Operating in 5 countries (US, Poland, Israel, Spain, Canada) - Founding team has raised over $200M cumulatively and built AI at scale (Zapier MCP, Zapier Agents) ## Competitive Advantages - **Founding team expertise**: Co-founders built and launched Zapier MCP (Zapier's fastest growing product) and Zapier Agents, used by millions. They have firsthand experience solving the exact problem Runlayer addresses. - **Comprehensive platform**: Unlike a simple MCP gateway, Runlayer adds catalog, identity controls, reusable capabilities, observability, and agent workflows — making governed agent work practical across the entire company. - **Enterprise-ready**: Supports SSO/SCIM, self-hosted deployment, MDM rollout, and a sophisticated policy model that maps access to users, groups, roles, attributes, agent accounts, clients, tools, resources, and runtime conditions. - **18,000+ pre-built MCPs**: Start with a massive library of MCPs for common enterprise tools, plus the ability to add internal MCPs. - **Shadow AI discovery**: Unique capability to surface unmanaged AI usage from agents, MCPs, skills, plugins, and client configs. ## Strategic Focus - **Current priorities**: Scaling the platform to meet enterprise demand, expanding the agent runtime and catalog, deepening security and governance capabilities, and growing the go-to-market team. - **Direction for growth**: Becoming the default AI control plane for enterprises rolling out AI agents across engineering, security, IT, operations, and business teams. ## Why Work Here - **Culture highlights**: Values include "Shipping," "Built this before," and leveraging AI internally. The team is described as "AI experts" who have built AI at scale. Emphasis on practical, real-world problem solving. - **Remote/hybrid/office policy**: Hybrid/Remote roles available. Offices in NYC and San Francisco. Some roles are specifically NYC or SF-based. - **Notable perks or engineering culture**: - Founding team with deep AI expertise (Zapier, Nanit, Vowel) - Working on cutting-edge AI infrastructure and security problems - Small, high-impact team (24 employees) with significant funding ($41M) - Open roles across Engineering (Security, SRE, Platform, Identity, Product), Product (Design, Engineering), and GTM (Field Engineering, Demand Gen, Forward Deployed Engineer, Product Marketing, Enablement, Creative Director, Account Executive, Developer Relations) - Talent sourced from top companies: Zapier (6 employees), EQ Fitness, Rilla, Taboola, Nanit, Oso, Intel, GLG, C3 AI, Permit.io ## Sources 1. [runlayer.com](https://www.runlayer.com/) 2. [runlayer.com/about](https://www.runlayer.com/about) 3. [runlayer.com/platform](https://www.runlayer.com/platform) 4. [linkedin.com/company/runlayer](https://www.linkedin.com/company/runlayer) 5. [cbinsights.com](https://www.cbinsights.com/company/runlayer) 6. 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