San Francisco, CA
AI-powered compensation benchmarking and management platform
Pave builds an AI compensation platform with real-time benchmarking data from thousands of companies and workflows for pricing jobs, running merit cycles, and communicating total rewards. It serves HR, compensation, and total rewards leaders at enterprises and startups to make data-driven pay decisions. This enables fairer, more transparent compensation practices amid remote work and talent competition.
IT Manager responsible for owning core IT platforms (Google Workspace, Okta), identity/access management, AV support, vendor relationships, and IT budget for a global distributed workforce. Leads one FTE and a contractor, partners on security/compliance, and drives cross-functional automation while requiring 6+ years of hands-on IT generalist experience.
Senior full-stack, backend or frontend engineer building data-intensive applications at a B2B SaaS compensation platform. Requires 5+ years experience, strong product intuition, technical leadership, and ability to drive complex projects with minimal oversight.
Analytics Engineer responsible for extending core data models, designing scalable pipelines focused on market data, and owning data observability for Pave's compensation intelligence products. Requires 4+ years in data/analytics engineering, proficiency in dbt and Airflow, and experience with ML workflows in a product-facing role.
Drive end-to-end implementation and adoption of Pave's compensation platform for HR/Finance customers. Requires 2+ years SaaS customer-facing experience, strong project management, technical skills (JSON, SQL, APIs), and stakeholder management.
Manage a book of business for Pave's compensation platform, driving renewal and expansion revenue through deep customer relationships, data-driven insights, and partnership with internal teams. Requires 2+ years quota-carrying customer-facing experience, over-performance track record, and bachelor's degree.
Lead and grow an engineering team building core compensation planning and recommendation workflows for large enterprises. Requires 7+ years experience including 2+ years managing high-performing teams, staying close to the code, and driving technical roadmaps for accuracy-critical financial systems.
Build full-stack, backend, or frontend features for Pave's compensation management platform. Requires 2+ years engineering experience (ideally TypeScript/Node.js and data-intensive apps), strong product instincts, comfort with ambiguity, and a bias toward shipping.
Senior engineer building and scaling internal developer platforms with strong focus on AI tooling, reliability, and developer experience. Requires 4+ years in backend/infrastructure and proven project leadership.
Partner with Marketing to analyze data, build narratives, and create content across blogs, reports, and landing pages. Requires 2+ years as a Data Analyst with strong SQL/Python skills and customer-facing experience.
Own full sales cycle for compensation SaaS platform, sourcing and closing SMB/mid-market deals while collaborating cross-functionally. Requires 1+ years SaaS sales experience with quota attainment and strong outbound prospecting skills.
Builds and scales core platform backend for data-intensive applications, leading complex projects with data infrastructure and pipelines. Requires 5+ years backend experience, preferably with TypeScript/Node.js, strong product sense.
Leads 0→1 AI initiatives from concept to production, building systems with LLMs, agentic architectures, retrieval, and evaluation. Requires 7+ years experience, strong product intuition, and cross-team technical leadership.
Builds production AI systems using LLMs, agentic architectures, and retrieval systems. Ships end-to-end features in fast-paced environments with strong product instincts and collaborative engineering practices. Requires 3+ years experience.
Owns full-cycle technical recruiting for Engineering, Product, Design, and Data roles at a high-growth startup. Sources passive candidates using creative strategies and AI tools, partners with leadership on hiring, and closes senior hires with data-driven offer strategies.
Drives complex enterprise sales cycles for six-figure SaaS deals, partnering with HR and Finance leaders to solve compensation challenges. Requires 7+ years SaaS sales experience exceeding quota in high-growth tech companies.
Builds and scales core platform backend for data-intensive applications, designing generalized solutions for cross-product challenges. Requires 3+ years backend experience with TypeScript/Node.js, data infrastructure, and leading complex projects.