Terra, a Y Combinator‑backed health‑data platform, is hiring an Applied AI Strategist to sharpen its market intelligence loop. Candidates must translate real‑world conversations with wearables and lab‑data builders into actionable product signals. The role blends deep user research, data‑driven segmentation, and rapid prototyping for the company and its AI initiatives in the health sector.

The job description rejects generic market research in favor of a continuous loop: market → signal → implication → decision → shipped product. Interviewees will map segments like “AI assistants for metabolic health decisions” or “B2B platforms embedding Terra‑like health memory,” quantify size, and prioritize short‑term GTM moves for companies focusing on personalized care solutions and data integration efficiency today and and.

Applicants must already have AI‑native fluency, using tools like Perplexity, GPT, or agents, and a track record of turning data patterns into product roadmaps. Terra values speed, clarity, and the courage to challenge founders, demanding written artifacts that are concise, actionable, and directly influence pricing, positioning, or go/no‑go decisions for future product iterations in the.

Terra abstracts hundreds of siloed health data sources—wearables, labs, clinical platforms—into a single, secure API that streams 30 billion actions annually. By feeding continuous, permissioned data into AI models, the company aims to enable hyper‑personalized health journeys, from life‑span optimization to elite athletic performance. The strategist’s insights will directly shape how that infrastructure evolves.