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Role Description

We are seeking a Technical Lead to own the systems that power day-to-day execution across our operations organization. This role sits at the intersection of AI, infrastructure, and human-in-the-loop workflows , building platforms that assign, schedule, and support real people doing real work.

You’ll work closely with Operations, Product, and Engineering to translate messy operational reality into scalable, AI-assisted systems. This is a hands-on leadership role —not pure management—ideal for someone who has built operational products at scale (e.g., logistics, marketplaces, or workforce platforms).

• Own Operational Systems Architecture: Design and evolve distributed systems on GCP (Cloud Run, Pub/Sub, BigQuery) that support scheduling, task assignment, and operational workflows. Make final decisions on service boundaries, schemas, and technology trade-offs across Go, Python, and TypeScript.
• AI-Powered Operations: Lead integration of AI into operational workflows using open-source LLMs, embeddings, and speech models. Define prompt strategies, evaluations, and safeguards (e.g., LangFuse) to ensure AI systems are reliable and usable by operations teams.
• Human-in-the-Loop Workflows: Build and improve systems that coordinate AI decisions with human execution—assigning work, routing tasks, and handling exceptions at scale.
• Operational Excellence: Champion observability, reliability, and data quality. Oversee event-driven ingestion and automated QA for call transcripts and healthcare data (FHIR / Medplum).
• Player-Coach Execution: Contribute code to critical paths while leading technical initiatives. Identify gaps, unblock teams, and ensure projects ship end-to-end.
• Cross-Functional Alignment: Partner deeply with Operations, Product, Design, and Clinical Ops to translate operational constraints into clear technical solutions and trade-offs.

Qualifications

• 8+ years of software engineering experience, with 2+ years leading projects or acting as a Tech Lead.
• Staff-level scope or equivalent technical impact.
• Strong experience building operational products involving scheduling, task assignment, routing, or workforce coordination (e.g., DoorDash, Uber, logistics, marketplaces).
• Hands-on experience working with AI systems in production environments.
• Expert-level proficiency in Go, Python, or TypeScript/Node, with the ability to review code across the stack.
• Deep experience with distributed systems, containerized deployments (Docker, Kubernetes, Cloud Run), and event-driven architectures.

Requirements

• Preferred: AI / LLM Fluency: Experience hosting or integrating open-source models (vLLM, Ollama) and understanding modern RAG architectures.
• Healthcare & Compliance: Prior experience in regulated environments (HIPAA, SOC 2) or healthcare data standards (FHIR, HL7).
• Strong Communicator: Able to write clear RFCs and explain technical decisions to non-technical operations stakeholders.

Benefits

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

Company Description

We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work.