Staff AI Engineer, Pave
Paige
$221-299k
4+ days a week in office
Employee compensation tools
Be an early applicant
Employee compensation tools
101-200 employees
Be an early applicant
$221-299k
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
- 7+ years of experience building production systems, with deep hands-on expertise in LLMs, agentic architectures, retrieval systems, and evaluation frameworks
- Strong product intuition. You identify customer problems that AI can uniquely solve and partner with Product to shape what gets built, not just how
- Proven track record leading 0→1 technical initiatives with high ambiguity, driving them from concept to production
- Pragmatic engineering judgment: you know when to move fast and when to invest in quality
- Ability to drive technical alignment across teams. You'll be defining primitives and patterns that other engineers build on, so you need to bring people along
- Founder mentality with bias toward action, ownership, and urgency; you're energized by the challenge of bringing a new AI product to market
What the job involves
- Paige is Pave's AI compensation analyst - an agentic system that sits on top of the world's largest proprietary compensation dataset and Pave's existing workflow engine
- Think: autonomous agents that can reason over structured compensation data and execute multi-step workflows (market pricing, cycle planning, attrition analysis) across Pave's platform
- In this role, you'll shape the technical vision and execution of Paige, working with a team of engineers and data scientists to build the product end-to-end and take it to market
- This role requires deep AI expertise, strong product intuition, and a founder mentality
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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