Senior Product Builder

About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds. You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions. If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade. What You Will Actually Do Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined. Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale. Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over. Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing. Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment. Ship. Not someday. Fast. What We Are Looking For Must-haves: 4+ years in a product role, with at least 2 years working directly on AI-powered products Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent) Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning Clear understanding of RAG, prompt architecture, and when to use models versus rules Experience defining and running evals for AI features in production Track record of shipping products, not just planning them Strong signal: You have built something on your own, outside of a job, using AI tools You can walk through the cost and latency tradeoffs of a feature you shipped You have worked in a paired product-engineering model where prototypes precede specs You have owned a feature from zero to production, including the parts no one assigned to…