---
title: 'Forward Deployed Engineer at Bunkerhill Health'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-bunkerhill-health-san-francisco-nt735m2n4zym'
type: 'job'
last_seen: '2026-09-07'
---

# Forward Deployed Engineer at Bunkerhill Health

- **Company:** Bunkerhill Health
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-11
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/bunkerhillhealth/548ba6a6-b90f-462b-9f89-0f50de4557fe

## Job description

We've run agents across 6M patient records and over 10M workflows in the last year, all on our platform, Carebricks.

We're hiring a founding forward deployed engineer to take us through the next 100M.

Healthcare is messy. The distance between a good clinical idea and a working system is enormous, and most of that distance is unglamorous: legacy system integrations that fight back, FHIR resources that arrive malformed from production endpoints, edge cases that change what happens to a patient. The rest is frontier AI work, where there's nothing to copy because nobody has built it yet.

As our first FDE, a typical week looks like:

- Stakeholder meetings. Physicians, hospital IT, clinical and operational champions. Anyone with an idea worth putting into production.
- Use case scoping. Work with internal and external champions to figure out how to productionize an idea, what success actually measures, and the path to get there.
- Use case building. Translate loosely defined ideas into concrete agents inside Carebricks. Build evals to ensure agents are doing what they're supposed to.
- Use case alignment. Ensure use cases continue to deliver value, whether that means updates to agents, updates based on the latest clinical guidelines, or updates based on operational considerations.
- Core engineering. Change the platform based on what you learned from users, and from using Carebricks yourself all week.

We're looking for great engineers who want real ownership. The loop from "a physician told me this is broken" to "the platform no longer works that way" should close in days, and you own the whole loop.

This role wants someone who can hold a conversation with a clinical champion in the morning and debug a production pipeline in the afternoon, and be customer outcome obsessed. If this sounds like a challenge you're up for, we want to meet you.

Our engineering team has 3 core values:

- Build for the patient: We do what we do so that patients get better healthcare.
- Own it and ship it: Own everything you do, and make sure you're always shipping.
- Be bold together: Be part of a high performance team where we take big bets and have each others' backs.

If you want to be a part of making healthcare enterprises around the world AI native, apply and tell us what makes you the ideal fit. This position is based in our San Francisco office (4 days/week in-person), and we are happy to assist with relocation if needed.

## About Bunkerhill Health

## Company Overview
- **One-liner**: Bunkerhill Health builds an AI-powered workflow platform (Carebricks) that enables health systems to design, deploy, and automate end-to-end clinical and operational tasks.
- **Entity Type**: Private (Series unknown; $30M+ raised from top investors, including Sequoia)
- **Headquarters**: San Francisco, California, USA (also has a presence in New York, NY)
- **Founded**: 2021
- **Founders**: David Eng (CEO) and Nishith Khandwala

## Core Business
- **Primary industry**: Healthcare IT / AI-powered clinical automation
- **Target customers**: Health systems, hospitals, and large medical groups (B2B, Enterprise)
- **Mission or purpose statement**: “Close the gap between the potential of AI in healthcare and its reality in clinical practice” – turning patient data into action without adding to manual workloads.

## Products & Services
- **Carebricks Platform**: An AI-agent platform (LLMs, VLMs, NLP) that integrates with EHRs to automate workflows across any specialty. Includes prior authorization, incidental finding resolution, referral triage, cancer registry submission, and clinical trial matching. Available as a SaaS solution with end-to-end execution, rapid creation, and enterprise security.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Over $30 million raised from top-tier venture investors (including Sequoia) as of 2025.
- **Notable Investors/Partners**: Sequoia Capital, Y Combinator (Winter 2019 batch), plus other undisclosed world-class investors.
- **Growth Signals**: Team size grew to ~30 employees (as of mid-2025); recognized by Newsweek AI Impact, Inc. Best in Business, Digital Health Awards, and Forbes 30 Under 30 (founders). SOC 2 Type II, ISO 27001, and HIPAA compliant – indicating enterprise readiness.

## Competitive Advantages
- **End-to-end execution**: Unlike many AI tools that only flag issues, Carebricks automates the entire workflow (e.g., submits prior-auth documents, schedules follow-ups).
- **Flexibility**: Agents can be built for any clinical or operational need in days, not months – extensible across specialties and use cases.
- **Deep integration**: Seamless EHR integration with audit trails and manual approval gates when needed.
- **Security and compliance**: SOC 2 Type II, ISO 27001, HIPAA – critical for healthcare procurement.

## Strategic Focus
- **Scale adoption**: Expanding from a few health systems to nationwide deployment.
- **Product breadth**: Continuously adding new workflow templates (e.g., clinical trials, cancer registry, level-of-care decisions).
- **Platform approach**: Encouraging health systems to build their own AI agents on Carebricks, creating a network effect.

## Why Work Here
- **Culture**: Described as “persistence, collaboration, and a shared belief that healthcare can and must work better.” High-stakes, mission-driven environment.
- **Remote/Hybrid**: Hybrid model with offices in San Francisco and New York; open to remote for certain roles (based on job listings).
- **Notable Perks**: Competitive salary (e.g., $140K–$245K for engineering roles), early-stage equity, direct impact on patient outcomes, and the chance to work on cutting-edge AI/LLM applications in healthcare.
- **Engineering Culture**: Strong emphasis on rapid iteration, real-world testing, and close collaboration with clinicians. Opportunities to own full-stack features and deploy AI into production.

## Sources
1. [bunkerhillhealth.com](https://www.bunkerhillhealth.com/)
2. [bunkerhillhealth.com/about](https://www.bunkerhillhealth.com/about)
3. [bunkerhillhealth.com/careers](https://www.bunkerhillhealth.com/careers)
4. [jobs.ashbyhq.com/bunkerhillhealth](https://jobs.ashbyhq.com/bunkerhillhealth)
5. [ycombinator.com/companies/bunkerhill-health](https://www.ycombinator.com/companies/bunkerhill-health)

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