Senior Engineering Manager, AI Platform

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🔥 3 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OpenLoop

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

⚖️ Legal

📦 Logistics

💰 $15M Series A - OpenLoop Health on 2023-03

Consulting • Legal • Logistics

OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.

📋 Description

• Hire, onboard, and develop Applied AI Engineers across Senior, Staff, and Senior Staff levels • Grow the team from a single pod into multiple teams as work expands • Drive the roadmap and execution of production LLM-based agents and assistants from scoping through launch and ongoing operation • Partner with Staff+ engineers on architecture for agent runtime and orchestration, retrieval, model access, and observability • Make technical trade-off decisions • Establish evaluation sets, regression tests, and AI-graded evaluations as part of the shipping process • Own operational health, including on-call, incident response, provider fallbacks, model upgrades, and AI spend • Ensure AI systems protect patient data, follow least-privilege access, and defend against prompt injection • Partner with Security and Compliance on HIPAA requirements • Prioritize AI workflows and use cases with Product and Operations leaders • Determine when agents should hand off to people and which initiatives to prioritize • Explain AI capabilities, risks, and timelines to product, operations, clinical, and executive stakeholders • Run planning, prioritization, and delivery rituals • Provide direct feedback and build career paths • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field • 10+ years of software engineering experience • 3+ years managing engineers directly, including hiring, performance management, and career development • Experience leading or building LLM-based systems in production used by real users • Experience managing senior and Staff-level engineers and earning their technical trust • Hands-on understanding of agent runtime, evaluation, retrieval, and observability • Strong production engineering fundamentals across testing, services, APIs, deployment, incident management, and on-call • Experience leading teams handling sensitive data with a security-first mindset • Comfort building in a greenfield space • Clear communication with technical and non-technical partners • Preferred: healthcare, finance, or insurance experience • Preferred: GCP experience • Preferred: scaling engineering teams • Preferred: model-version or provider migration experience • Preferred: machine learning experience beyond LLMs • Preferred: experience leading internal platforms used by engineering teams

🏖️ Benefits

• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance • Pet insurance • Competitive base pay

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