Who We Are

At Pave, we're building the industry’s leading

Compensation

platform, combining the world's largest real-time

dataset with deep expertise in AI and machine learning.

decision. Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage.

spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark

The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave we’ve built a system of real-time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn’t have the tools it needs to fully leverage it.

intelligence products Design scalable data pipelines that support production use cases across our product suite, with an emphasis on Market Data Own data observability by implementing monitoring, testing, and validation frameworks that maintain trust in our dataset as it scales Collaborate cross-functionally with data scientists, product managers and software engineers to translate product needs into insights that supported our thousands of customers Help drive millions of dollars of revenue growth What You'll Bring Product Mindset - You want to be a core contributor in building and maintaining the data infrastructure for a product. You intuitively understand how decisions made within the data pipeline affect the user experience downstream. Scalability - You design and implement systems that are robust and scalable, ensuring they can efficiently handle future growth and evolving use-cases.

Bias for Action - You’re a catalyst and an accelerator. You’re constantly unblocking yourself and others while making strategic trade-offs. Experience - 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity.

Proficiency with dbt and airflow, and familiarity with cloud data warehouses.

, It's What We Do.

should be as thoughtful as the people we hire.

are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

reflects the impact you're making.

What You'Ll Do

Extend and maintain core data models that power Pave's

Benefits

designed around your life — not just your role.

@ Pave At Pave, growth isn't a perk — it's the point.

Responsibilities

deepen, and your

What We Offer

: Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.