Mecka AI is a New York City–based startup that collects human motion data from body sensors and iPhones to train embodied AI models for robotics.
ABOUT MECKA AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality. THE ROLE We are hiring a Senior Product Engineer to take products 0 → 1 → scale. This is a true senior, high-agency role for someone who is full-stack, design-oriented, and data-driven — with strong startup/founder-type instincts. You will work directly with internal users, define what to build, ship quickly, and own quality in production. WHAT YOU’LL WORK ON 0 → 1 PRODUCT BUILDING - Turn ambiguous problems into shipped product: concept → prototype → production. - Own scope, trade-offs, and delivery — not just implementation. FULL-STACK EXECUTION - Build end-to-end workflows across frontend + backend. - Create product primitives that are durable, simple, and fast to iterate on. DESIGN + PRODUCT CRAFT - Sweat UX details: interaction quality, edge cases, and reliability. - Partner closely with design — and bring strong product taste yourself. DATA-DRIVEN ITERATION - Define success metrics and instrumentation. - Use data to drive prioritization, quality, and performance decisions. WHO YOU ARE REQUIRED BACKGROUND - 7+ years of software engineering experience (or equivalent impact), with meaningful full-stack ownership. - Proven track record shipping products 0 → 1 and scaling them in production. - Strong product chops: you can reason about UX, workflows, and trade-offs. - High agency: you move without waiting for perfect specs. Strong Signals - Early-stage startup or founder experience with end-to-end product ownership. - You can write clean systems and also care deeply about UX. - You ship, measure, and iterate relentlessly. WHY THIS ROLE - Build the product layer that turns complex operations and petabyte-scale data into simple, reliable workflows. - High ownership, fast iteration, and direct impact across the company.