Pave

Generates qualified sales pipeline through outbound prospecting, account research, and personalized engagement. Partners with Account Executives to qualify prospects, schedule discovery meetings, and maintain accurate CRM data using modern sales and AI tools.

Senior software engineer building backend systems and generalized platform solutions for data-intensive, cross-product challenges. Requires 5+ years of backend experience, strong product intuition, data infrastructure expertise, and the ability to lead complex technical projects.

Own full-cycle technical recruiting for Engineering, Product, Design, and Data roles while partnering strategically with hiring leaders and building scalable recruiting infrastructure. The role requires strong passive sourcing, offer-closing, analytics, and AI recruiting-tool expertise.

Senior frontend engineer building data-dense compensation and pricing interfaces, while shaping scalable architecture, performance, accessibility, and technical strategy. Requires 5+ years of frontend engineering experience plus strong prioritization, communication, and mentoring skills.

Senior software engineer responsible for building production AI systems, leading ambiguous 0-to-1 initiatives, and defining reusable technical patterns. The role requires 7+ years of experience, deep LLM and agentic architecture expertise, strong product intuition, and cross-team technical leadership.

Own and grow a customer book of business by driving renewals, expansion revenue, and measurable product outcomes. The role requires 2+ years in a quota-carrying customer-facing position, strong data-driven communication, and the ability to build trust with senior and executive stakeholders.

Build scalable backend systems for sophisticated customers and compensation pricing workflows, owning delivery from discovery through monitoring. The role requires 5+ years of backend engineering experience, strong systems design judgment, and the ability to lead ambiguous technical initiatives.

Owns corporate security architecture and automation across identity, compliance, endpoint protection, SaaS, and internal IT systems. The role requires 5+ years of security engineering experience, deep IdP design expertise, audit control ownership, and a track record of impactful automation.

Implement and configure compensation software for B2B SaaS customers while managing projects, advising HR and Finance stakeholders, and driving adoption. The role requires at least two years of customer-facing implementation or technical account experience, strong project management, and technical fluency in JSON, HTML, SQL, and APIs.

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.

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.

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.