ClarityCare AI — Forward Deployed Engineer

Type: Full-time | On-site | San Francisco, CA Compensation: $180,000–$250,000 + 0%–2% equity Hiring count: 2 Visa sponsorship: Yes — H-1B, O-1 (outreach template confirms sponsorship is open and actively supported) Reports to: Not specified in source

About ClarityCare AI

ClarityCare AI is building the command center for healthcare cost containment, replacing the fax machines, phone calls, and manual clinical review that have defined utilization management for decades. Its AI agents read clinical documents, reason over medical criteria, and adjudicate prior authorization cases in real time, cutting decision timelines from days to minutes. The company is already processing 10k+ prior-auth requests/month, reports a 65% lift in provider satisfaction, and 10x'd ARR over the past six months with a target of 8-figure ARR by year end.

Founded: 2024 | Team size: 11–50 (Series A) | Backing: Venture-backed by top SF investors; led by an MIT ML researcher; team drawn from MIT, Apple, Google, and OpenAI-backed startups Industry: Healthcare Website: https://www.claritycare.ai/ Office: San Francisco, CA

Why Candidates Should Join

• Real end-to-end ownership: Own the customer relationship and a slice of the platform — pre-sale scope, deployment, and ongoing technical contact all in one seat, not siloed across teams.
• Strong pedigree and momentum: Series A, small world-class team (MIT / Apple / Google / OpenAI-backed backgrounds), 10x ARR growth in six months, 10k+ requests/month.
• Breadth by design: Full-stack across frontend, backend, and the AI agent layer — an unusually wide surface for an engineer who wants to build and stay close to customers.
• Sponsorship supported: H-1B and O-1 sponsorship is open and actively supported.

Intake Call Summary

• No text intake summary was present on the role page. Contrario hosts an intake video (ClarityCare AI × Contrario) but no transcript or written summary. Watch the intake video directly for verbal calibration notes before scoring finalists; nothing is fabricated here.

The Role

ClarityCare is hiring Forward Deployed Engineers to own customer relationships end-to-end. Unlike traditional FDE roles where deployment is separate from product engineering, every engineer here is full-stack and customer-facing: you define scope of work with customers pre-sale, lead deployment after close, remain the customer's primary technical contact, and own a slice of the underlying infrastructure (frontend, backend, or AI agent layer). The team hires for both the forward-deployed and backend tracks through one funnel and assigns based on where each engineer spikes — strong communicators with backend depth become FDEs, strong builders with less customer instinct become backend engineers, and both can switch over time.

What You'll Be Doing

• Own one or more customer relationships end-to-end — pre-sale scope-of-work definition, deployment, and ongoing technical support
• Own a piece of ClarityCare's infrastructure (frontend, AI agent layer, or backend services)
• Define and document scope of work alongside customers (named on the call as one of the hardest parts of the role)
• Lead deployment of AI agents into customer environments and iterate on real production feedback
• Stay on call for your customers when their AI agent has issues — debug, fix, and ship
• Pair with the engineering team on architecture decisions where customer needs and platform direction intersect

Tech stack: Full-stack across frontend (React, TypeScript), backend services, and AI agent / LLM infrastructure

Requirements

• 1-5 years full-stack engineering
• Customer-facing pre-sale + post-sale
• Owns scope of work definition
• Owns a piece of backend infrastructure
• Self-sufficient, customer end to end

Green Flags

• Prior Forward Deployed Engineer or Solutions Engineer experience at a real product company (Palantir, Anthropic, Scale, Cognition, similar)
• Full-stack engineer with a customer-facing track record. Has shipped product to clients and stayed on those clients post-launch, not just thrown work over the wall.
• Comfortable defining scope of work in ambiguous customer conversations. Can document what's in, what's out, and why, without escalating every decision.
• Healthcare, healthtech, or AI agent infrastructure background. Direct domain or product-area accelerator.
• Prior startup or founding-engineer experience where they had to wear multiple hats — full-stack, customer-facing, and infra ownership all at once.

Red Flags

• Pure backend engineer with no customer-facing comfort. Every engineer at Clarity Care is customer-facing. There is no exception.
• Pure customer success or account management background without real engineering depth. The role requires shipping production code, not relationship management alone.
• Career engineer at a large company with no startup adaptation. Will struggle with the ambiguity, the scope of ownership, and the pace.
• Cannot or will not work in person in San Francisco. Non-negotiable.
• Wants to only own infrastructure or only own product, not both. The role is full-stack across customer and infra by design.

Role Details

• Salary — $180,000–$250,000
• Equity — 0%–2%
• On-site policy — On-site, San Francisco; in-person is non-negotiable
• Visa sponsorship — H-1B, O-1 (open and actively supported)
• Employment type — Full-time
• Location — San Francisco, CA

Screening Questions

• No screening-question list was present in the source page. None fabricated. (An intake video exists on Contrario but contains no written screening questions.)

Interview Process

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Initial technical screening (15 mins) Stage 3 — Live coding challenge (90 mins) — 60 minutes solving a new problem on your end; 30 minutes explaining it to the interviewer. Stage 4 — Live System Design Challenge (60 mins) Stage 5 — Cultural fit (30 mins) Stage 6 — On-site Trial Stage 7 — Offer Extended — Offer has been extended. Stage 8 — Hired — Candidate accepts and starts.