Technical Lead - Product Engineering

About OpenLoop

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.

About the Role

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).

What You'll Do

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.

Who You Are

• 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.

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.

Why You'll Love it

• Direct Operational Impact: Build systems that operators rely on every day—not just dashboards.

• AI Meets Reality: Work on human-in-the-loop AI where correctness, usability, and trust matter.

• Senior, Agile Team: Small, experienced group that ships fast and learns in production.

• Flexible Bay Area Hybrid: In-person collaboration with reasonable flexibility.

• Comp & Growth: Competitive compensation, equity, meaningful perks, and a path to grow into an Engineering Manager role over time.

Our Benefits

In addition, for salaried positions you would also be eligible for:

• Medical, Dental, and Vision plans

• Flexible Spending/Health Savings Accounts