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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.