Technical Lead - Product Engineering

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, ... (truncated, view full listing at source)