Why join Pave?

At Pave, our vision is simple--unlock a labor market built on trust.

How are we going to get there? By building a compensation platform powered by the largest real-time compensation dataset on earth, giving you confidence in every compensation decision.

We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time. And you don’t have to just hear it from us — you can hear it from our customers: Allbirds, Hover, Credit Karma, Grammarly, and more.

We’re growing fast, building an incredible team and product, and having plenty of fun as we do it in our San Francisco and New York City offices.

If playing to win, building with intellectual honesty and focusing on in the Pave platinum standard sounds like fun - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation!

Head of Data @ Pave:

Pave has significant momentum in the compensation data market but it’s still early in the journey (8000+ integrated companies, exponentially growing data specific revenue in the millions). We are in a data race to become the dominant data provider in compensation. We are seeking a talented leader for our Data team to accelerate our path and play a critical role for the core differentiating strategy of the company. This will include data product development, data quality, and product data science. We are seeking a leader that is at or above the director level (emphasis is at the Director level – but we want to speak to the best data leaders we can that are excited about helping with Pave’s mission and our challenges).

Grow and operate a high-performing data organization to execute Pave’s Market Data strategy. Provide strategic and technical direction to accelerate our Market Data success, ensuring innovation, scalability, and a deep understanding of compensation trends that drive decisions.

What we’re looking for:

Demonstrated intellectual horse-power, creativity, analytical thinking, curiosity, and technical depth. Comfort with ambiguity and wading through it
Leadership - building and inspiring teams. Proactivity that is felt in the organization. Demonstrates learning from past experiences and mistakes. Demonstrates the impact of their leadership
10+ years of professional experience, with 5+ years experience leading teams
Proven support of other business functions with data science and analytics (e.g., Marketing, Sales, Customer Support).
Experience in early product development and managing trade-offs
Expertise in Data Science, statistical modeling, and machine learning
Sufficient technical expertise to oversee Data Engineering or effectively collaborate with Data Engineering teams.

What you’ll get out of it:

Opportunity to build truly innovative products in a space that’s massively impactful (50% of GDP on the planet is impacted by compensation)
Work with some of the most influential tech companies in the world who are beating down our door to solve their problems around compensation
Fast paced in-office culture that prioritizes building relationships both with our team and our customers

Compensation, It’s What We Do.

This salary range may include multiple levels. 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. Salary is just one component of Pave’s total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental and vision coverage, commuter benefits, catered lunch, an unlimited PTO policy, and many other region-specific benefits.

Pave’s salary range for this position

$263,500—$402,500 USD

Our Compensation Philosophy

Pave’s compensation philosophy is to target the 75th percentile of the market for both cash and equity at your job level. This means that the “mid point” of every band at Pave is the 75th percentile of the broader market.

Pave also has a merit-based philosophy when it comes to compensation increases. We run a performance cycle twice per year to evaluate employees’ performance. Higher than average performance ratings result in compensation increases to the upper end of the individual’s compensation range for their role. The result is that high performers at Pave are paid above the 75th percentile of the market at large.

Pave is committed to pay equity. If you get an offer from Pave, it will be based on your level as determined by your interview performance. And nothing else. We explicitly do not negotiate salary and equity to ensure that we aren’t introducing bias that could lead to pay inequities within the team between candidates who have different negotiation tactics.

FAQ’s:

How big is Pave today?

We were founded in late 2019, and have grown to 150 employees across San Francisco, New York and the UK.

Where are the Pave offices?

Our company HQ is inSan Francisco’s FiDi with a high energy in-person culture. We also have an office inNYC and a hub in England. 🌁 🗽 🇬🇧

What do employee benefits at Pave look like?

As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing. To enhance your personal and professional growth, you will have a monthly L&D stipend. We take our snacking seriously - employees receive a lunch and dinner stipend as well as many fun snacks throughout the day.

Who are some of Pave’s customers?

Pave is working with 7,500+ companies today, including some of the best technology logos out there like Credit Karma, RO, Faire, Dropbox, Airtable, Sweetgreen, Checkr, Hubspot, Snackpass, Attentive and more!

What can I expect in interviewing at Pave?

At Pave, we value intellectual honesty and transparency, and we bring this to our interview process. Throughout your time interviewing with us, we will be evaluating where you can best make an impact through multiple conversations with your recruiter, hiring manager, peers and cross-functional partners. We also use our interviews to determine leveling, which is finalized at the end of your interview process by your hiring manager. The majority of our roles have 3-5 interview rounds. You can expect to hear back from our team within 7 days of application, as well as within 2 days after each interview round. Once we extend an offer, we hope to hear back from you within 1 week. It is extremely important to us that we find a great mutual fit - we’re excited to get to know you!

More Questions? Check out our candidate resources page!

Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status. For individuals with disabilities who would like to request accommodation, please email [email protected]. Sponsorship for work visas or other permits may be available for certain positions, subject to Pave’s policies and legal requirements.

Compensation Overview

Why join Pave?

Head of Data @ Pave:

What we’re looking for:

What you’ll get out of it:

Our Compensation Philosophy

FAQ’s:

6 month growth

1 year growth

2 year growth

Simplify's Take

What believers are saying

What critics are saying

What makes Pave unique

Benefits