Data Engineering Lead, Pave

$221-299k

+ Equity

SQL
Python
Senior and Expert level
San Francisco Bay Area

More information about location

4+ days a week in office

Pave

Employee compensation tools

Open for applications

Pave

Employee compensation tools

201-500 employees

FintechB2BHRMarket researchSaaS

Open for applications

$221-299k

+ Equity

SQL
Python
Senior and Expert level
San Francisco Bay Area

More information about location

4+ days a week in office

201-500 employees

FintechB2BHRMarket researchSaaS

Company mission

To build the world's best compensation tools and easily accessible market data so companies can plan, communicate, and benchmark in real-time.

Role

Who you are

  • Product Mindset: You’ve been 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 your team while making strategic trade-offs
  • 8+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity. Strong software engineering experience and architectural experience is desired
  • 2+ years of experience leading teams in a people management or tech lead capacity
  • Exceptional data manipulation and modeling skills with proficiency in SQL and Python

What the job involves

  • Our Data Engineering Lead will partner closely with data scientists, software engineers, and product managers to craft the systems that enable us to serve compensation insights to thousands of customers, influencing $100+ billion in total compensation
  • They’re not only responsible for designing and maintaining robust data pipelines and models but also establishing the vision for the infrastructure that powers our product
  • Impact: Your work will impact billions in compensation spend by influencing decisions made in offices and boardrooms worldwide
  • Ownership: You’ll own major technical initiatives from end-to-end with the support of your incredible teammates and collaborators
  • Visibility: Play a key role in establishing the company as an authority in comp tech through building the infrastructure that supports new features, products, and insights

Application process

  • 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!

Our take

Compensation survey and merit cycle processes are integral to so many businesses, and yet remain time-consuming manual activities. Staff often lack financial training resulting in spreadsheet induced errors. Pave saw a need to update and streamline the process.

The core advantage of Pave is its ease of integration with HRIS, ATS and cap table software, creating real-time compensation data views without the need for spreadsheets. Using the software creates a fair and transparent system that management can rely on and employees can respect. The company has seen strong momentum, with backing from big names like Y Combinator and az16.

Some organisations have been reluctant to adopt solutions like Pave’s on account of the radical transparency it provides. However, with companies like Credit Karma, Miro and Discord all signing on, Pave has proven its ability to draw lucrative enterprise-level clients. This bodes well for the company’s ongoing success.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

10% employee growth in 12 months

Company

Employee endorsements

Tech & tools

"Our product is disrupting an industry that touches almost anyone employed - compensation. I'm fired up about the impact Pave has in the market for..."

Funding (last 2 of 4 rounds)

Jun 2022

$100m

SERIES C

Aug 2021

$46m

SERIES B

Total funding: $170m

Company benefits

  • Compensation: Startup equity for full-time employees
  • Wellness: Top tier health insurance along for full-time employees
  • Food: All meals while working, plus snacks. We take our snacking seriously
  • Commute: Commuter pre-tax benefit accounts + employer contribution for full-time employees
  • Tech: Choose your laptop and accessories of choice
  • Team: Retreats, happy hours, and events for our team, friends, and family
  • Flexible Time Off: Take the time you need - we encourage our team to unplug with unlimited PTO
  • WFH Wednesday: A dedicated work from home day each week + additional flexibility by team!

Company values

  • Bring Your Fire
  • Be Intellectually Honest
  • Focus On Impact
  • Be Transparent
  • Hug Of Jawn
  • Stretch The Rubber Band, But Don’t Break It

Company HQ

Union Square, San Francisco, CA

Leadership

Matt studied at the Wharton School before working as an Engineer at DollarsEd and spending 2 years as a Facebook Software Engineer. He left this role in June 2019 to co-found Pave in October.

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