Applied AI Strategist - Market Intelligence (Health)

What this role actually is

This is not “market research.”
No 60‑page decks. No generic “digital health is big” observations.

This is a continuous loop:
market → signal → implication → decision → shipped product.

Your job is to keep Terra’s roadmap and GTM pointed at the sharpest opportunities across AI × health, using:

• live conversations with users and near‑users,
• Terra’s own data and product surfaces,
• and the messy, high‑resolution context everyone else ignores.

What you’ll do

You will:

• Obsess over the people building on health data and AI
  Talk to founders, PMs, engineers, ops people, and researchers building on top of wearables, labs, and longitudinal health data.
  Extract what they’re actually trying to achieve, where they’re stuck, and what they’d pay for if it existed.
• Turn chaos into sharp segments
  Break the world into concrete, actionable segments like “AI assistants for metabolic health decisions” or “B2B platforms embedding Terra‑like health memory.”
  For each one: what they need from Terra, how big it is, and how fast we can move.
• Spot early product patterns from Terra’s own signals
  Read our usage, logs, support threads, builder questions, and integration patterns.
  Turn that into: “these are the workflows emerging on Terra; here’s the product that would make them 10x easier.”
• Live where our builders live
  Hang out in the places our users actually are: GitHub, AI forums, communities, niche health and bio circles, Telegram / Discord, X threads.
  Pull out early weirdness and translate it into “here’s a bet we should place.”
• For product: what to build, in what order, and which segments to explicitly ignore for now. For GTM: which users and use‑cases to prioritize this quarter, and what language will actually land.