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

Prospect and generate qualified pipeline through outbound outreach (phone, email, LinkedIn), research target accounts, qualify leads, schedule discovery meetings, and maintain accurate CRM data while partnering with Account Executives and using AI-powered sales tools to prioritize outreach.

Build and own foundational platform services, APIs, authentication and authorization systems, data infrastructure, and models powering Pave’s compensation platform. Design generalized solutions for cross-product needs, develop data-intensive applications and pipelines, lead complex technical initiatives across stakeholders, and deliver scalable, maintainable software in a fast-paced environment.

Own full-cycle technical recruiting for R&D roles across Engineering, Product, Design, and Data. Source passive candidates, partner strategically with hiring managers and leadership, manage candidate experience and offer negotiations, and use compensation data to close senior hires. Build pipelines, track recruiting metrics in Greenhouse and Gem, improve interview processes, train interviewers, and apply AI-powered tools to research, personalize outreach, and summarize pipelines.

Build and scale data-dense frontend interfaces that help compensation teams benchmark roles, price jobs, and make pay decisions. The role owns technical strategy and delivery outcomes, emphasizing performance, accessibility, interaction quality, reusable systems, and thoughtful prioritization. It also involves mentoring engineers, clarifying ambiguous problems, and contributing effectively in a fast-paced environment.

Own a customer portfolio, building trusted relationships and driving renewals and expansion revenue. Partner with Customer Success Engineers, Sales, Product, and Operations to maximize customer outcomes from Pave’s compensation platform and AI Agent. Use data-driven insights, executive presence, and strategic account perspectives to retain and grow accounts while navigating ambiguity and change.

Design and implement scalable backend systems and enterprise-ready features for Pave’s Market Pricing platform. Own the full development lifecycle, collaborate with customers and stakeholders, solve ambiguous problems, monitor releases, set technical direction, mentor engineers, and improve engineering standards while prioritizing performance, reliability, and robust system design.

Lead and grow an engineering team building core compensation planning and recommendation workflows. Drive technical roadmap for scalability, ensure calculation accuracy, partner with Product and Design, align with platform teams, and coach engineers while remaining hands-on with designs and implementations.

Build and ship product-facing features for Pave's compensation platform. Work cross-functionally with Product and Design to implement data-intensive web experiences, iterate rapidly based on customer feedback, and own work end-to-end. Contribute to frontend, backend, or full-stack development using modern web technologies.

Lead and build product-facing features for a compensation platform: own projects end-to-end, collaborate with Product and Design, mentor engineers, break down ambiguous problems, and ship data‑intensive web applications using modern technologies.

Own daily IT operations for a distributed SaaS company: manage Google Workspace/Okta/Iru, identity and device lifecycle, AV and office systems, monitor security posture, lead one IT FTE and contractors, manage vendors and IT budget, support compliance (SOC 2/ISO 27001), and drive automation and integrations.