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

Provide Level 1 customer support for healthcare billing platform inquiries, including claims processing, product functionality, bugs, and feature feedback. Collaborate with Product, Engineering, Operations, and Billing teams to resolve issues, escalate technical tickets, and meet SLAs. Create SOPs, macros, and help-center content while improving support workflows, quality, and cross-functional processes.

Lead cross-functional technical programs from planning through launch, translating implementation needs into technical requirements and milestones. Coordinate Engineering, Product, Design, and Operations teams, manage dependencies and risks, track KPIs, and communicate program status to leadership. The role requires technical fluency with APIs, databases, and cloud infrastructure, plus strong stakeholder management and experience working in fast-paced SaaS environments.

Manage and automate internal IT infrastructure as a product: scale onboarding/offboarding, migrate and maintain Apple MDM (Jamf/Kandji), build Zero-Touch Enrollment and JIT access automations, enforce zero-trust (SSO/SAML/MFA), troubleshoot macOS endpoints, and collaborate with Engineering, Security, and People Ops to improve security and operational workflows.

Build and scale the company’s technical sourcing function from the ground up. Responsibilities include defining sourcing strategy and metrics, implementing AI-powered sourcing and automation workflows, leading technical intake sessions, developing employer branding and event strategies, and executing personalized candidate outreach. The role owns sourcing funnels, optimizes conversion rates, builds passive talent pipelines, and reports strategic outcomes to leadership.

Lead full-cycle recruiting for software engineering and leadership roles, including sourcing, screening, interviewing, offers, and candidate experience. Partner with hiring managers and senior leadership to develop talent strategies, build pipelines, optimize recruiting processes, and improve hiring outcomes. Use recruiting systems and metrics to increase productivity and inform hiring decisions. The role is primarily in person, with four days weekly in an office in San Francisco, New York, or Denver and one remote day.

Own product vision and execution in partnership with Engineering, Design, customers, and leadership. Improve product management practices, identify product and business opportunities, prioritize user needs, and build data-driven dashboards for accountability. Lead customer and internal communications for feature rollouts while remaining accountable for business outcomes. The role focuses on data-intensive healthcare payment software and requires technical fluency, collaboration, and outcome-oriented decision-making.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

The Engineering Leader will oversee infrastructure and platform teams, managing projects, mentoring engineers, and defining technical strategies for scalable systems.

Own healthcare provider customer accounts, drive retention and platform success, analyze claims and denial data, lead implementations, build scalable processes, and translate customer needs into product features and AI automations. The role requires direct customer communication and daily collaboration with RCM, Support, Product, Design, Engineering, and Sales teams.

Own P&L forecasting, annual planning, quarterly forecasts and monthly reporting. Analyze unit economics, margins, CAC/LTV, and optimize capital allocation for product, partnerships, and M&A. Partner cross-functionally with Sales, Product, Engineering, and leadership to scale GTM and improve efficiency. Implement AI-enabled FP&A tools to automate variance analysis and rolling forecasts and drive strategic decision-making.