Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own a Midwest healthcare sales territory, sourcing prospects through outbound phone and digital outreach, managing full-cycle deals, closing healthcare providers, and building ongoing account relationships. After 90 days, the associate conducts field meetings and manages accounts within a 2.5-hour radius of a major Midwest metro hub. The role requires quota-carrying sales experience, cold-calling expertise, CRM proficiency, reliable transportation, and residence in an approved target market.

Lead software engineering for the Patient Onboarding team, building and improving registration, insurance verification, and care-access workflows. Write full-stack production code, lead complex cross-team initiatives, shape technical direction, improve engineering foundations, and support modern AI-enabled development practices. Collaborate with Product, Design, Analytics, and Engineering to improve patient conversion and system reliability.

Manage a portfolio of providers as a trusted partner, building relationships, resolving barriers, interpreting performance metrics, and identifying practice growth opportunities. Drive provider engagement, retention, and success through consultative problem-solving while collaborating cross-functionally to improve the provider experience.

Leads strategic growth for a key healthcare partnership, managing executive relationships with health systems or payers. Drives revenue and business expansion, applies sales and stakeholder-management principles, represents partner needs internally, and coordinates cross-functional execution. Requires expertise in healthcare member journeys, clinical and operational workflows, regulatory requirements, and complex B2B2C marketplaces.

Designs and builds Salesforce architecture supporting patient, clinician, insurance, and operational workflows. Responsibilities include Salesforce development and automation, system integrations, data modeling, security, monitoring, recovery, technical standards, deployment processes, stakeholder alignment, and mentoring. The role requires architecture ownership for complex implementations and experience in regulated or HIPAA-compliant environments is preferred.

Partner with Health Plans and Partnerships to shape growth strategy using unit economics, scenario-based forecasting, and granular financial models. Evaluate trade-offs, drive data-driven decisions, translate financial concepts for non-finance partners, and partner cross-functionally to test assumptions and ensure operational accountability in a fast-paced healthcare marketplace.

Own the revenue operating model for a core B2B business unit, including GTM planning, targets, quotas, territories, capacity, funnel design, forecasting, and pipeline reviews. Partner with Sales, Marketing, Product, and Finance to improve growth economics, refine ICP strategy, and translate performance data into executive decisions. Lead cross-functional planning and manage a team while supporting the transition from growth to scalable execution.

Build scalable, secure data pipelines, models, platforms, and governance systems that enable AI applications to access trusted enterprise data. Partner with analytics, marketing, and product teams to translate requirements into technical solutions, independently deliver projects through production, and support sensitive-data security and access controls. Preferred experience includes LLM architectures, cloud data platforms, infrastructure as code, regulated environments, and technical leadership.

Architect and re-engineer highly scalable, resilient backend data systems supporting patient services. Lead distributed systems strategy, make architectural decisions, improve performance and reliability, mentor engineers, establish operational practices, and collaborate with product managers and cross-functional stakeholders to shape engineering and product direction.

Owns the strategy, architecture, and implementation of production AI and machine learning systems for personalization, search ranking, relevance, and patient-provider matching. Builds recommendation engines, retrieval models, LLM applications, and scalable ML infrastructure while establishing AI safety, evaluation, and MLOps standards. The role requires hands-on model development, technical leadership, mentoring, and responsible deployment of AI in a regulated mental healthcare environment.