OpenLoop is the white label telehealth platform trusted by 400+ virtual care brands. Clinicians, pharmacy, diagnostics, AI — all under your brand. Backed by Techstars.
About the role
Evaluation Rigor: You hold teams to measuring whether AI systems work with evaluation data, rather than "it seemed to work." Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Proven Engineering Experience: 10+ years of software engineering experience, including 3+ years managing engineers directly (hiring, performance management, career development)
- Production LLM Experience: Led or built LLM-based systems in production that real users relied on, not only demos, prototypes or personal projects
- Senior Team Leadership: Experience managing senior and Staff-level engineers and earning their technical trust
- Technical Depth: Enough hands-on understanding of agent runtime, evaluation, retrieval and observability to review designs, challenge assumptions and make sound architecture calls
- Evaluation Rigor: You hold teams to measuring whether AI systems work with evaluation data, rather than "it seemed to work."
More about this role
OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states.
OpenLoop is building the future of healthcare infrastructure. We're hiring a Senior Engineering Manager to build and lead our Applied AI team, the engineers who ship the LLM-based agents and assistants our operations, clinical and patient-facing teams use every day.
This is a leadership role with real technical depth. You'll hire and grow a team of Senior, Staff and Senior Staff Applied AI Engineers, own delivery of production AI systems, and set the standards for how we build, evaluate and safely run AI on patient data. You don't need to write production code daily, but you need to be credible in architecture and eval reviews and know what good looks like.
What You'll Do
Build & Lead the Team: Hire, onboard and develop a team of Applied AI Engineers across Senior, Staff and Senior Staff levels, and grow it from a single pod into...
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