Alleviate Health — Founding Engineer

Type: Full-time | On-site | San Francisco, CA Compensation: $170,000–$250,000 + 0.5%–1.5% equity Hiring count: 1 Visa sponsorship: None as a rule; case-by-case for exceptional candidates. Reports to: CTO (name not given on role page)

About Alleviate Health

Alleviate Health automates patient recruitment for clinical trials using AI agents that coordinate across SMS, voice, and email. Clinical trial delays cost $600K–$8M per day in a $600B+ market, and Alleviate's platform helps research sites close that gap. It is already working with 7 of the top 15 research site networks in the country (including Alcanza Clinical Research, CenExel, Centricity Research, M3 Wake Research, Eximia Research, and Profound Research), battle-tested across 500K+ patient interactions, 190+ sites, and 300+ trials. Backed by Andreessen Horowitz, with strategic investors including the co-founder of Flatiron Health and the CEO of Tennr. On track for a Series A in the next 4–5 months on current revenue trajectory.

Founded: 2019 | Team size: 1–10 (Seed) — engineering team of four today | Total funding: not disclosed Industry: AI Tools Website: alleviatehealth.care Office: San Francisco, CA

Why Candidates Should Join

• Founding-engineer scope: Reports directly to the CTO, owns full-stack product development, and helps define architecture and shipping cadence as the team grows beyond its current four engineers.
• Backing and traction: a16z-backed, already deployed across 500K+ patient interactions with 7 of the top 15 research site networks.
• Equity upside: 0.5%–1.5% at the founding stage, with real ownership from day one.
• Momentum: On track for a Series A in the next 4–5 months on current revenue trajectory.

Intake Call Summary

No intake call summary section was present on the role page.

The Role

Founding Engineer reporting directly to the CTO, owning full-stack product development as the company scales its core platform and AI agent capabilities. High-ownership work in a fast-paced, high-intensity (9-to-9) environment with no playbook.

What You'll Be Doing

• Orchestrate fleets of AI agents that coordinate patient recruitment across hundreds of clinical trials
• Build and optimize integrations into customer systems, including custom adapters for specific software versions
• Scale LLMs across voice, SMS, and email while maintaining conversation consistency and personalization
• Design AI agent workflows for domain-specific questions and calculations (e.g., BMI from height and weight)
• Develop scheduling and call-center management solutions for recruiters and clinical research coordinators
• Reverse-engineer legacy healthcare systems without public APIs to integrate with trial sites' existing stacks

Tech stack: TypeScript, Python, AWS, Next.js

Requirements

• 0-6 years YOE, ideally new grad to ~5 years out
• Quant background (Jane Street, IMC) OR founding engineer OR Olympiad/ICPC
• Full-stack TypeScript + Python + AWS + Next.js
• SF in-person 5 days, high intensity (9-to-9)
• AI agent orchestration in healthcare recruitment

Green Flags

• Quant or competitive programming background
• Founding engineer at a top-tier startup
• Recently committed, green GitHub
• Top school pedigree (target: MIT, Stanford, Berkeley, CMU, Princeton, Harvard)
• Can articulate technical depth in conversation

Red Flags

• Master's-only background with no undergrad CS or equivalent track record
• No shipped production work or empty GitHub
• Cannot articulate what they have built or why they want this role
• Consulting or pure strategy background without hands-on engineering
• Career tenure below one year across recent roles

Role Details

Salary$170,000–$250,000Equity0.5%–1.5%On-site policySF in-person, 5 days/week, 9-to-9 intensityVisa sponsorshipNone as a rule; case-by-case for exceptional candidatesEmployment typeFull-timeLocationSan Francisco, CA

Screening Questions

No screening-questions section was present on the role page.

Interview Process

Stage 1 — Pending Approval Stage 2 — Initial Call w/ Singhei or John Stage 3 — Technical: Analytics Exercise Stage 4 — Technical: Double Texting Stage 5 — Technical: FDE Stage 6 — Onsite Stage 7 — Offer Stage 8 — Hired — Candidate accepts and starts.

Ideal Companies & Backgrounds

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Ideal Candidate Profiles

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Rejected Candidate Feedback

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