Analytics Engineer

Who We Are

At Pave were building the industrys leading compensation platform combining the worlds largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8500 companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI McDonalds Instacart Atlassian Synopsys Stripe Databricks and Waymo use Pave transforming every pay decision into a competitive advantage. $190 billion in total compensation spend is managed in our workflows and 70% of Forbes AI 50 use Pave to benchmark compensation.

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

The Research & Development Org

Paves R&D pillar includes our data science engineering information technology product design product management and security teams. This organization builds maintains and secures a platform used by more than 8500 client organizations.

Compensation strategy is broken down into 3 pillars -compensation bandsplanning workflows andtotal rewards communication. We build products that make these processes seamless for customers.

Over the next year our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis band adjustments merit cycles and employee communication. Were seeking passionate engineers who are excited about building robust data-rich systems that simplify complex compensation processes at scale.

Learn more about our engineering principleshere!

The Data Team @ Pave

As part of the Data team at Pave you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave weve 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 doesnt have the tools it needs to fully leverage it.

What Youll Do

• Extend and maintain core data models that power Paves compensation 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 Youll 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 - Youre a catalyst and an accelerator. Youre 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.
• Exposure to ML workflows - youve collaborated with data scientists or machine learning engineers to transform features create training data sets and deploy and monitor models
• Track record of impact - youve shipped data products or infrastructure that meaningfully improved business outcomes and end user experiences

Compensation Its What We Do.

Salary is just one component of Paves total compensation package for employees. Your total rewards package at Pave will include equity top-notch medical dental and vision coverage an unlimited PTO policy and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.

The targeted cash compensation for this position is (level depends on experience and performance in the interview process):

P3: $195000 - $215000
P4: $230000 - $250000

Life @ Pave

Since being founded in 2019 Pave has established a robust global footprint. Headquartered in San Franciscos Financial District we operate strategic regional hubs across New York Citys Flatiron District Salt Lake City and the United Kingdom. We cultivate a vibrant collaborative workplace culture through our hybrid model bringing teams together in-person on Mondays Tuesdays Thursdays and Fridays to foster innovation and strengthen professional relationships

Benefits @ Pave

At Pave career advancement drives everythingroles expand responsibilities deepen and compensation rises alongside your professional growth.

What we provide

• Complete Health Coverage: Comprehensive Medical Dental and Vision coverage for you and your family with plenty of options to suit your needs
• Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month
• Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you
• Professional Development: Quarterly education stipend to continuously grow
• Family Support: Robust parental leave to bond with your new family
• Commuter Assistance: A commuter stipend to help you collaborate in person

Vision - Our vision is to unlock a labor market built on trust

Mission - Our teams mission is to build confidence in every compensation decision

Are you ready to help our customers make smarter more effective compensation decisions