Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead architecture and development for a new Provider Onboarding engineering team. Build scalable full-stack, database-backed applications and microservices supporting provider pricing, payments, client panels, and forms. Collaborate across technical and non-technical teams, establish engineering patterns, mentor engineers, oversee the full development lifecycle, and maintain highly reliable systems serving healthcare providers and patients.

Lead the architecture and development of a new Provider Onboarding Engineering domain. Build scalable tools and systems supporting pricing, payments, client panels, and forms across internal and external workflows. Establish technical patterns, mentor engineers, drive cross-functional delivery, and oversee the full software development lifecycle, including operations, reliability, and post-launch improvements.

Leads company-wide procurement strategy, strategic sourcing, vendor contract negotiation, spend analysis, financial modeling, procurement platform optimization, and renewal governance. Partners with Legal, Privacy, AI, Security, and Finance to ensure compliant, cost-effective purchasing. Builds scalable procurement systems, improves workflows, manages vendor commitments, and leads procurement teams in a fast-paced remote healthcare technology environment.

Lead the expansion of in-person behavioral healthcare, initially scaling psychiatry services and developing office safety and suitability programs. Partner with supply teams on provider acquisition, value propositions, demand generation, and regulatory compliance. Own strategic initiatives, conduct data analysis and modeling, develop actionable plans, and communicate findings to executives and cross-functional teams.

Lead and develop a distributed field sales team serving outpatient medical practices across the Western United States. Drive provider referral partnerships, coach account executives through in-person clinical sales activities, improve practice activation, and ensure revenue and field activity performance. The role requires extensive travel, provider behavior change expertise, remote team management, and collaboration with physicians, office managers, and healthcare administrators.

Staff Software Engineer responsible for designing and delivering scalable distributed systems and full-stack web applications that improve provider acquisition, onboarding, and supply management. The role leads cross-team technical initiatives, shapes product and engineering strategy, mentors engineers, and influences stakeholders. Preferred work includes AI-powered engineering workflows, end-to-end project ownership, and experience with Node.js, React, TypeScript, Kafka, AWS, Docker, and Kubernetes in a high-growth startup environment.

Build and evolve scalable referral management, partner data, and patient booking systems. Lead architecture and complex cross-team technical projects, make durable design decisions, align engineering work with business goals, mentor engineers, troubleshoot production issues, and improve reliability. Collaborate with product managers, designers, engineers, partners, and stakeholders while using AI-assisted development tools such as Claude Code to improve delivery speed and quality.

Owns Rula’s affiliate marketing channel end to end, including investment decisions, partner recruitment, forecasting, roadmap development, performance optimization, and patient acquisition. Manages large partner budgets, tracking, attribution, compliance, fraud auditing, and ROI at partner and state levels. Collaborates with Analytics, Finance, Provider Success, and leadership while guiding affiliate specialists, contractors, and virtual assistants.

Leads hands-on development of AI and machine learning systems for patient experiences, including matching, ranking, recommendations, onboarding, and personalization. Builds production models, shared ML infrastructure, training and inference pipelines, evaluation frameworks, and operational tooling. Partners with ML and Patient Engineering teams on architecture, experimentation, model reliability, and technical standards. Guides decisions between custom ML, foundation models, deterministic software, and hybrid solutions while mentoring engineers and driving measurable product impact.

Leads Rula’s AI Engineering team, managing Senior and Staff engineers developing applied AI features such as transcript summarization and search relevance while building ML infrastructure, feature stores, deployment systems, and observability platforms. The role requires balancing product delivery with scalable platform investments, coaching high-performing teams, and ensuring clinical safety, privacy, compliance, and rigorous AI evaluation in a regulated healthcare environment.