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.

Part‑time (≈20 hrs/week) • 3‑month project • Remote (US‑friendly hours)

Why This Role Matters

Legion Health’s data lives in half‑automated dashboards, ops spreadsheets, and ad‑platform exports. We need one technical owner to wire everything together, instrument every click and server outcome, and make growth metrics self‑serve for the entire team.

What You’ll Deliver

1 – End‑to‑End Analytics Stack

• Fully implement PostHog and Google Analytics 4 for complete funnel and behavioral insights.
• Instrument every product event with both client‑side “click” and server‑side “success” calls; build a structured tracking plan that documents event names, purpose, properties, and collection points.
• Deploy Segment (or RudderStack) for clean, schema‑driven event collection and bi‑directional integrations with ads, email, and data warehouse.
• Validate that our event‑driven architecture flows seamlessly from first click to patient conversion and downstream ops automations.

2 – Centralized Growth Metrics & Dashboards

• Pipe data from PostHog, GA4, ops scorecards, billing, and provider‑availability feeds into one source of truth in PostHog (and later BigQuery).
• Centralize and automate the KPIs that matter for an insurance‑based telehealth service:
  • Paid and organic CAC, plus CAC per retained patient
  • Step‑by‑step onboarding conversion (landing page start → eligibility complete → benefits verified → intake finished → first appointment booked and shown)
  • Real‑time provider availability and idle time
  • Time‑to‑intake and time‑to‑first visit
  • Patient retention, weekly LTV, churn, and net margin per visit
  • Claim‑denial rates and gross‑to‑net reimbursement
  • etc.
• Automate dashboards, Slack/email digests, and threshold alerts (e.g., CAC spikes, idle‑provider alerts) for real‑time decision‑making.
• Keep all metric definitions in a living data dictionary so finance, growth, and clinical ops speak the same language.

3 – Democratized Data Access

• Stand up BigQuery (or Snowflake) as the warehouse of record; schedule Segment/PostHog exports.
• Layer a BI tool such as Mode or Metabase for ad‑hoc SQL analysis.
• Build a shared library of saved queries and dashboards for recurring metrics (e.g., funnel drop‑off by payer, LTV by lead source).
• Run hands‑on workshops so ops, product, and marketing teammates can adapt basic SQL and pull their own insights without waiting on you.

4 – Reporting & Knowledge Transfer

• Replace manual daily roll‑ups with self‑updating views accessible company‑wide.
• Deliver concise weekly memos summarizing data quality, new instrumentation, and experiment read‑outs.
• Document the full event taxonomy, data model, and dashboard logic; hand off maintenance playbooks to future data or growth hires.

You’ll Be Successful If You…

• Ship a dual‑tracked PostHog + GA4 + Segment implementation in under four weeks.
• Migrate every spreadsheet KPI to automated dashboards that the team actually opens.
• De‑risk future growth by leaving a warehouse, BI layer, and documented tracking plan that others can extend.

Must‑Have Skills

• Proven rollout of Segment/RudderStack, PostHog/MixPanel/Amplitude, GA4, BigQuery/Snowflake, and BI tools at an early‑stage startup.
• Fluency in JavaScript/TypeScript tagging, server‑side events, and schema design.
• Strong SQL; comfortable joining product, revenue, and ops tables for cohort and LTV analyses.
• Past success turning messy ops data into self‑serve dashboards and alerting systems.
• Clear communicator who can teach non‑technical teammates to fish.

Nice‑to‑Haves

• Experience with HIPAA‑adjacent data stacks or telehealth analytics.
• Familiarity with attribution modeling, A/B testing frameworks, or PostHog experiments API.

Engagement Details

• Time: ~20 hrs/week for three months (extension or hire possible).
• Compensation: Competitive hourly or project rate.
• Resources: Budget for any tooling you recommend; direct access to engineering, growth, and ops leads.

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