B2C Experimentation Specialist — Audience & Channel (backed by Y Combinator, $1M+ ARR, $6.3M+ raised) at Legion Health (S21)
$50K - $200K  •  0.10% - 0.20%
AI-native psychiatry, built for scale and covered by insurance
US / Remote
Contract
Any (new grads ok)
About Legion Health

We’re rebuilding psychiatry from the ground up—AI-native, insurance-covered, and engineered to scale.

Legion Health is a high-quality psychiatry network where patients get care from licensed clinicians, fast and affordably. Under the hood, our LLM agents and orchestration layer automate operations, reduce admin, and enable truly great care.

Most startups bolt AI onto broken workflows. We’re replacing the workflows—and the system underneath.

If you’ve ever wanted to use AI to actually fix something that matters, this is your shot.

About the role

Part‑time (≈ 10 hrs/week) • 8‑week project • Remote


Why We Need You

Legion Health has a strong pull from online directories, but we don’t yet know who converts best or which channels can scale. In two months, you will run rapid experiments that answer:

  1. ICP Clarity – Which micro‑segments of insured Texans convert fastest and cheapest?
  2. Channel Viability – Which growth channels will still matter when we 3× ARR?

Your findings will decide where we invest marketing dollars for the rest of the year.


Core Outcomes

1. Audience & ICP Discovery

  • Launch micro‑budget ad probes on Meta (Facebook/Instagram) and Google Search/Display.
  • Isolate high‑intent personas by age, condition (e.g., ADHD vs. anxiety), insurance, city, and message.
  • Understand, at a granular level, who converts at the highest rate.
  • Deliver quantified market‑size estimates and segment‑level CAC, CTR, and landing‑page‑CVR benchmarks.
  • Produce a refined Ideal Customer Profile deck and messaging framework that the founders can weaponize in future campaigns.

2. Channel Discovery & Testing

  • Design a sprint roadmap that touches every major growth lever once:
    • Paid search / AI search surfaces
    • Paid social (Meta, TikTok, YouTube)
    • Influencer micro‑campaigns (psychiatry YouTubers, mental‑health TikTokers, MD creators)
    • Directories (Zocdoc, insurer portals)
    • Organic social pilots
    • Referral hooks (B2B PCP outreach, C2C paid incentives)
  • Ship a minimum‑viable test for each channel: instrument pixels, UTMs, and event triggers.
  • Track real‑time CAC, payback proxy, and engagement signals (CTR > 4 %, landing‑page CVR, quiz completions).
  • Kill or double budgets based on marginal CAC; document why each channel stays or dies.
  • End with a ranked channel matrix: scalability score, cost efficiency, and next‑step experiments.

3. Measurement & Reporting

  • Stand up a lightweight dashboard (GA4 or PostHog) showing spend, CAC, CTR/CVR, and first‑visit‑to‑booking rates.
  • Send a crisp Friday memo: tests launched, costs, winners/losers, next week’s plan.
  • Deliver a final hand‑off report and 30‑day roadmap that the team can execute without you.

Must‑Have Skills

  • Hands‑on media buying in Meta Ads Manager and Google Ads (setup, creative, tracking, optimization).
  • Growth‑experiment design: you can go from hypothesis to live test in < 48 hours on a small budget.
  • Data fluency: GA4, Looker Studio, PostHog, or SQL for cohort/CAC/LTV analysis.
  • Lean creative chops: comfortable whipping up ad variants in Canva/Figma or directing a freelancer in 24 hours.
  • Channel breadth: prior experiments in at least three of the following—SEO, TikTok ads, influencer seeding, Zocdoc, referral loops.
  • Communication: write clear memos and present insights to non‑marketers in 10 slides or fewer.

Engagement Details

  • Time – Roughly 10 hours per week for eight weeks (renewable if ROI is obvious).
  • Compensation – Competitive hourly or project rate
  • Budget – Dedicated test pool for ads, influencer fees, directory listings, and tooling. You control allocation.
Technology

Technology at Legion

We are revolutionizing telepsychiatry through a core AI infrastructure that enables a vastly improved patient experience and quality of mental health care. We are actively improving our services in ingesting, chunking, embedding, caching, and searching to achieve this goal. Our technical goals include:

  • Enhanced processing: Implement robust data structures and caching mechanisms to handle increasing volumes of language data spanning every facet of patients’ care while minimizing latency and maximizing system responsiveness.
  • System scalability: Ensure our systems can scale effectively to support growth from one million to hundreds of millions of data points.
  • Securing sensitive data: Uphold the highest standards of data security and privacy in compliance with HIPAA guidelines.

##Stack TypeScript, Node.js, PostgreSQL, Redis, Supabase, Azure, Google Cloud, AWS, LangChain, PostHog, Retool

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