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Forward Deployed Engineer

Recruiting From Scratch
Full-time
On-site
New York, United States
$150,000,225,000 - $150,000,225,000 USD yearly
Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
https://www.recruitingfromscratch.com/
 

About the Client

Forward Deployed Engineer

Location: New York City (On-site, 6 days/week)
Employment Type: Full-time

About the Company

Clarion builds AI voice agents that handle patient operations end-to-end, helping healthcare providers scale access to care. Backed by Accel, Y Combinator, and Sequoia (Scout), Clarion is an early-stage, fast-growing company with millions of real patient interactions already in production.

The Role

Clarion is hiring a Forward Deployed Engineer to work at the intersection of engineering, product, and customers. You’ll write production code, own customer implementations, and ensure AI agents work reliably in real-world healthcare environments.

What You’ll Do

  • Build and ship production code for integrations, workflows, and AI agent configuration

  • Own customer implementations from scoping through go-live

  • Serve as the primary technical point of contact for customers

  • Debug and optimize AI agents in production

  • Translate customer feedback into product and engineering requirements

Required Qualifications

  • 3+ years of professional engineering experience

  • Strong coding ability; hands-on engineering role

  • Experience working directly with customers in a technical capacity

  • Comfortable owning ambiguous, multi-workstream projects

  • Strong communication and problem-solving skills

Nice to Have

  • Solutions or implementation engineering background

  • Startup or early-stage experience

  • Exposure to AI/ML or LLM-based products

  • Experience in healthcare or regulated industries

Culture & Values

  • Customer obsession and technical ownership

  • Bias toward action and real-world impact

  • Comfortable staying “in the weeds” to make things work

  • Thrives in a high-intensity, in-person environment

Compensation

Base salary: $150,000–$225,000
Equity: Meaningful early-stage equity