Analytics Engineer, Pave
4+ days a week in office
Employee compensation tools
Posted today
Employee compensation tools
101-200 employees
Posted today
4+ days a week in office
101-200 employees
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 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
- Exposure to ML workflows - you've collaborated with data scientists or machine learning engineers to transform features, create training data sets, and deploy and monitor models
- Track record of impact - you've shipped data products or infrastructure that meaningfully improved business outcomes and end user experiences
What the job involves
- Extend and maintain core data models that power Pave's 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
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. It also became a Unicorn in 2022 after an impressive Series C funding round, boding well for its longevity.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2022
$100m
SERIES C
Aug 2021
$46m
SERIES B
Total funding: $186.2m
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 HQ
Union Square, San Francisco, CA
Leadership
Matt Schulman
(Founder & CEO)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.
Salary benchmarks
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