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.”

• Feed the team with decision‑grade direction

• 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.

• Ship clear, small artifacts

• Short memos, briefs, Looms-whatever works-as long as it’s clear.

• One screen, one idea, one decision.

• How you think

• You probably recognize yourself in most of this:

• You operate at street‑level resolution: real users, real tools, real workflows—not abstract “AI will change healthcare” slides.

• You like being early more than being universally agreed with.

• You’re comfortable saying “this is my best read with incomplete data, here’s the cost of being wrong.”

• You think in systems: products, data, incentives, distribution.

• You are allergic to analysis that doesn’t change what people do .

• You are AI‑native: you reach for Perplexity / GPT / agents the way others reach for spreadsheets.

• You instinctively ask “how would an AI use this data?” and “what does this unlock for ai?” when you see a new product idea.

What we care about

• We don’t care about “years of experience.” We care about how you see and how you move.

You might have

run product/market research or strategy at a startup, fund, or product org;

built or worked around AI products, agents, or pipelines—and can show us your prompts, flows, or internal tools;

done real work around health, data, or AI products (or can prove you climbed the curve fast);

examples where your work directly changed a roadmap, pricing, positioning, or a go/no‑go decision.

You definitely:

move fast and don’t hide behind “we need more data”;

can show written work that is brutally clear and directly actionable;

are comfortable sitting close to founders and saying “I disagree, here’s why” when your read says so.