Jobs at Pave

Provide hands-on technical product support to B2B customers, troubleshooting application and backend integration issues using logs, stack traces, and root-cause analysis. Collaborate with Engineering, Customer Success Engineering, Account Management, and Account Executives to resolve inquiries, manage escalations, create self-service documentation, and maintain customer satisfaction. The role requires strong communication, prioritization, problem-solving, and familiarity with HTML, CSS, SQL, TypeScript, and APIs.

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.

Lead complex enterprise sales cycles for Pave's compensation platform, selling six-figure deals to HR and Finance leaders. Build pipeline via inbound and outbound, partner with product, engineering, and customer success, influence roadmap, create account plans, and act as a trusted advisor to drive adoption and successful outcomes.

Partner with Marketing to analyze Pave's compensation dataset and produce published data stories, reports, and customer-facing data products; field data questions from stakeholders; build lightweight measurement frameworks; and translate complex findings into clear narratives that drive product and business impact.

Lead Developer Platform initiatives to improve developer experience and velocity. Define CI/CD and observability standards, rethink local workflows and incident response, integrate AI-assisted/agentic tooling, partner across product and data teams, own developer velocity and reliability metrics, and scale production systems.

Build and maintain scalable data models and pipelines (especially Market Data) using dbt and Airflow; implement data observability, testing, and monitoring; collaborate with data scientists, product, and engineering to deliver production data products that drive revenue and customer value.

Build and own foundational services, APIs, and data infrastructure for Pave's compensation platform. Implement authentication/authorization, data pipelines, and models; drive large cross-team initiatives with a focus on scalability, maintainability, and product-led platform solutions.

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.

Lead end-to-end implementations and onboarding for Pave's compensation platform, manage 30–40 customers, handle integrations, data migration, and configurations, provide strategic compensation advice, project-manage cross-functional work, and surface customer needs to Product and Engineering.