---
title: 'Technical Recruiter at Pave'
canonical: 'https://feeny.ai/job/technical-recruiter-pave-san-francisco-hw8nnmy42gv9'
type: 'job'
last_seen: '2026-09-09'
---

# Technical Recruiter at Pave

- **Company:** Pave
- **Location:** San Francisco, CA
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/paveakatroveinformationtechnologies/jobs/4730580005

## Job description

## Who We Are

At Pave, we're building the industry’s leading compensation platform, combining the world's 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 9,000+ companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Affirm, Ericsson, 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 80% of [Forbes AI 50](https://www.forbes.com/lists/ai50/) use Pave to benchmark compensation.

The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $175M in funding from leading investors like Andreessen Horowitz (a16z), Index Ventures, Y Combinator, Insight Partners, Atomico, Venture Partners, and Craft Ventures.

The Recruiting Team @ Pave

We're a small, high-leverage team — two recruiters and a dedicated coordinator — operating as trusted advisors to leadership on every major hiring decision. We own full-cycle recruiting across all levels and have real influence on how we attract and win top talent in a competitive market.

Recruiting at Pave comes with a unique advantage: you'll have direct access to the same live compensation benchmarking data our customers use to make pay decisions. That means you can walk any candidate through exactly where our offers land in the market — with real data, full transparency, and genuine confidence. It's a closing tool most recruiters never get to use.

We're also in the middle of building an agentic AI compensation analyst, which means you'll be recruiting in an environment where AI tools are actively shaping how work gets done. If you've been waiting to work somewhere genuinely building on the frontier, this is it.

## What You'll Do

- Own the full hiring cycle: Drive end-to-end recruiting for R&D roles across Engineering, Product, Design, and Data — from sourcing passive candidates and crafting precise Boolean searches to closing senior hires who had multiple competing offers.
- Become a strategic partner — not a req-filler: Work directly with hiring managers and leadership to define role requirements, pressure-test job specs, build pipelines ahead of headcount approval, and contribute meaningfully to workforce planning as we scale.
- Source where others don't: Build and execute creative sourcing strategies using Gem, LinkedIn Recruiter, and unconventional channels. The candidates we want aren't applying — you'll go get them.
- Close with a data advantage: Own the candidate experience end-to-end — interview coordination, offer strategy, compensation discussions — and leverage Pave's own market compensation data to close candidates with confidence and transparency.
- Build the infrastructure, be ready to scale: Own pipeline metrics and reporting in Greenhouse and Gem, design and run our interviewer calibration and training program, and continuously improve recruiting process quality.
- Use AI as a multiplier: Bring genuine fluency with AI-powered recruiting tools to your day-to-day — candidate research, outreach personalization, pipeline summaries, sourcing signal. We're building AI-native workflows internally and expect you to be part of that.

## What You'll Bring

- A proven track record sourcing and closing engineering talent across multiple levels and disciplines — your output matters more to us than your year count, though most people who've done this well have 4+ years of full-cycle technical recruiting behind them
- Experience recruiting at a high-growth startup or fast-paced tech company — you know what it means to hire with urgency without compromising the bar
- Strong Boolean search skills and sourcing instincts for passive candidates who aren't on the market yet — you know where to find people who aren't looking
- Excellent communication and relationship-building skills - you can sell a company vision, navigate complex offer negotiations, and create an exceptional candidate experience under pressure
- Data-driven mindset — you track pipeline metrics because they help you make better decisions, not because someone asked you to
- Real AI fluency — you're already using AI tools to do your job better, and you're curious about what's next

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.

This compensation for this role: $155,000 - $170,000

## Benefits @ Pave

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

## What we offer

- Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
- Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
- Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
- Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
- Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
- Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.

Life @ Pave

Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.

We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together.

Our culture is shaped by five values we live every day:

- Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard.
- Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
- Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other.
- One Team — We win and lose together. Titles don't drive decisions here — shared goals do.
- Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter.

Our Vision: Unlock a labor market built on trust.

Our Mission: Build confidence in every compensation decision.

We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.

Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.

## About Pave

## Company Overview
- **One-liner**: Pave is an AI-powered compensation management platform that helps organizations benchmark pay, price jobs, run merit cycles, and communicate total rewards in one end-to-end system.
- **Entity Type**: Private (Series unknown; total funding $486.1M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Not publicly disclosed on provided sources; executive team listed but founders not named.

## Core Business
- Primary industry: Compensation management software / HR technology
- Target customers: B2B; companies of all sizes (startups to global enterprises with 50,000+ employees)
- Mission: "Build confidence in every compensation decision" and "unlock a labor market built on trust."

## Products & Services
- **Market Data (Market Data Lite & Market Data Pro)**: Real-time compensation benchmarks from 9,000+ companies, using AI-assisted job matching and predictive machine learning to set pay ranges.
- **Workflows**: Tools to manage, drive, and analyze pay decisions in real time (e.g., merit cycles, compensation planning).
- **Total Rewards Communication**: Dynamic, always-on portals that communicate the full value of compensation to candidates and employees.
- **Pave Agent**: An AI compensation analyst that answers complex questions using internal data and real-time market intelligence.
- **Compensation Planning**: End-to-end platform for running merit cycles and planning compensation budgets.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding raised – $486.1M (per LinkedIn); $160M from leading VCs (per company site)
- **Notable Investors/Partners**: Andreessen Horowitz, Bessemer Venture Partners, Craft Ventures, Index Ventures, Y Combinator, and others
- **Growth Signals**:
  - Headcount: 171 employees (+17.1% YoY, +42 people)
  - Platform used by 9,000+ client organizations; 76% of Fortune 500? (LinkedIn says "Pave coverage of the 2026 Forbes AI 50" and "CNBC Disruptor 50")
  - Offices in San Francisco, New York City, Salt Lake City, and remote team members across 7 countries (US, Canada, Poland, Japan, India, etc.)

## Competitive Advantages
- **Real-time, AI-powered data**: Unlike traditional survey-based compensation data, Pave provides live benchmarks and predictive insights.
- **End-to-end platform**: Combines market data, workflows, and total rewards communication in one place, reducing tool sprawl.
- **Strong network effects**: Over 9,000 companies contribute data, making the benchmarks more accurate and valuable.
- **Enterprise-grade features**: Used by both startups and large global enterprises, with integrations into existing HR platforms.

## Strategic Focus
- **AI-first approach**: Continued investment in AI (e.g., Pave Agent, AI-assisted job matching) to automate and improve compensation decisions.
- **Global expansion**: Operating in 7 countries, with plans to grow internationally.
- **Product breadth**: Adding new modules and features to cover the full compensation lifecycle (from pricing to communication).

## Why Work Here
- **Culture**: Emphasizes "one team, intellectual honesty, play to win, uphold the Pave platinum standard, and hug of jawn." Highly cross-functional collaboration.
- **Work policy**: Hybrid – onsite Monday, Tuesday, Thursday, Friday in SF, NYC, or SLC; remote for team members not near offices.
- **Benefits**: Competitive cash and equity, top-notch medical/dental/vision, 401(k), flexible PTO, region-specific perks, healthy snacks in offices.
- **Engineering culture**: Hack Week for R&D, weekly team syncs with breakfast, fireside chats, and Kahoot.
- **Interview process**: 3–5 rounds, transparent, with quick feedback (typically within 7 days of application and 2 days after each round).
- **Growth opportunities**: Roles in Engineering, Data, Customer Success, Sales, G&A, etc. Open positions include AI Engineer, Software Engineer, Staff AI Engineer, Insights Analyst, etc.

## Sources
1. [pave.com – Company page](https://www.pave.com/company)
2. [pave.com – Careers page](https://www.pave.com/company/careers)
3. [pave.com – Homepage](https://www.pave.com/)
4. [LinkedIn – Pave company page](https://www.linkedin.com/company/pave)
5. [Greenhouse – Jobs at Pave](http://job-boards.greenhouse.io/paveakatroveinformationtechnologies)

## Other roles at Pave

- [Senior Software Engineer, Core Platform](https://feeny.ai/job/senior-software-engineer-core-platform-pave-san-francisco-ca-new-york-m4kvw59gy4rr) — San Francisco CA & New York, NY
- [Senior Software Frontend Engineer, Market Pricing](https://feeny.ai/job/senior-software-frontend-engineer-market-pricing-pave-san-francisco-ca-new-york-0rhbdjradefp) — San Francisco CA & New York, NY
- [Senior Software Engineer, Agent](https://feeny.ai/job/senior-software-engineer-agent-pave-san-francisco-ca-new-york-kt3pqzx2zfm5) — San Francisco CA & New York, NY
- [Account Manager](https://feeny.ai/job/account-manager-pave-san-francisco-california-2cvw7841nrjv) — San Francisco California, United States
- [Senior Software Backend Engineer, Market Pricing](https://feeny.ai/job/senior-software-backend-engineer-market-pricing-pave-san-francisco-ca-new-york-b6sqtc4nnyht) — San Francisco CA & New York, NY
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-pave-san-francisco-ct8ztx7xxahg) — San Francisco, CA
- [Customer Success Engineer](https://feeny.ai/job/customer-success-engineer-pave-san-francisco-ca-new-york-7xep831qbscg) — San Francisco CA & New York, NY
- [Enterprise Security Engineer](https://feeny.ai/job/enterprise-security-engineer-pave-san-francisco-kjk8fmtmqry2) — San Francisco, CA
- [Senior Software Engineer, Compensation Planning](https://feeny.ai/job/senior-software-engineer-compensation-planning-pave-san-francisco-ca-new-york-6eq8xmt0dgdf) — San Francisco CA & New York, NY
- [Analytics Engineer](https://feeny.ai/job/analytics-engineer-pave-san-francisco-ca-new-york-cpr1b0s1936y) — San Francisco CA & New York, NY