Member of Technical Staff - Product Engineer

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. We're hiring a Product Engineer to work directly with our customers, translating problems into new product. You'll sit on the Product team, writing production code while working with customers. The goal: deeply understand customer needs and help inform our roadmap. WHY YOU'LL THRIVE HERE - Impact: Your work with customers directly shapes product direction. What you learn on Monday could be in the roadmap by Friday. - Excellence: Work alongside top-tier engineers and directly with enterprise customers, learning from both technical challenges and business needs. - Ownership: Own the full loop from customer discovery through product delivery and feedback. WHAT YOU'LL DO - Work directly with enterprise customers to understand their needs. You'll conduct discovery sessions, demos, and ongoing collaboration to learn how they're using the product and what's not working. - Shape our product roadmap. You'll translate customer patterns and pain points into product requirements, helping prioritize what we build next. - Build solutions that validate product direction. You'll prototype and ship code that tests hypotheses about what customers need, whether that's custom integrations, new features, or workflow improvements. - Present to customers and show them how to use the product. You're comfortable demoing, training, and gathering feedback in real-time. - Close the feedback loop. You'll track how customers use what you've built and iterate based on real-world usage. WHAT WE'RE LOOKING FOR - Senior engineering expertise. 4+ years of software engineering experience with proficiency in Python, TypeScript/JavaScript, and modern development practices. - Customer obsession. You genuinely enjoy working with customers, understanding their problems, and iterating until you've solved them. You're comfortable presenting and demoing. - Product instincts. You see patterns across customer conversations and know which problems are worth solving at the platform level vs. one-off solutions. - API and integration experience. Deep experience building integrations with various APIs, databases, and enterprise systems. - AI and LLM familiarity. Experience working with AI/ML systems and deep expertise with AI-assisted development workflows. - Communication skills. Excellent written and verbal communication, able to translate between customer needs and engineering requirements. BONUS QUALIFICATIONS - MCP or agent framework experience. Direct experience with Model Context Protocol, FastMCP, Vercel AI SDK, Agents SDK, LangGraph, or similar AI agent frameworks. - Enterprise software experience. Background working with enterprise systems like Salesforce, ServiceNow, Jira, Slack, or similar platforms. 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 experti