Pave Logo

Pave

AI Engineer

Posted 9 Days Ago
In-Office
San Francisco, CA, USA
167K-265K Annually
Mid level
In-Office
San Francisco, CA, USA
167K-265K Annually
Mid level
Build Pave's AI compensation analyst: design and implement agentic LLM systems that reason over proprietary compensation data and execute workflows. Collaborate with engineers and data scientists to ship end-to-end production features, architect retrieval and agentic pipelines, and drive product decisions with strong product instincts and ownership.
The summary above was generated by AI
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 8,500+ companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, 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 70% of Forbes AI 50 use Pave to benchmark compensation.

The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

The Eng Team @ Pave

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, 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.

What You'll Bring
  • 3+ years building production systems, with hands-on experience working with LLMs, agentic architectures, and retrieval systems
  • Strong product instincts. You want to understand the customer problem and why it matters
  • Experience shipping features end-to-end in ambiguous, fast-moving environments
  • Pragmatic engineering judgment: you know when to move fast and when to invest in quality
  • Collaborative by default. You communicate clearly, work well across teams, and leave codebases better than you found them
  • High agency with bias toward action and ownership; you're energized by the challenge of bringing a new AI product to market
 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.

Targeted cash compensation for this role:

P3: $166,600 - $225,400
P4: $195,500 - $264,500

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.

HQ

Pave San Francisco, California, USA Office

576 Folsom St, San Francisco, CA, United States, 94105

Similar Jobs

Yesterday
Hybrid
San Jose, CA, USA
251K-286K Annually
Senior level
251K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Partner cross-functionally, invent LLM optimization techniques, and contribute to technical vision and roadmap for foundational AI infrastructure.
Top Skills: Aws UltraclustersC#C++GoGoHugging FaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Yesterday
Hybrid
San Jose, CA, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, build, deploy, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production LLM performance (cost, latency, throughput) and contribute to long-term technical vision.
Top Skills: Aws UltraclustersC#C++Go (Golang)HuggingfaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
2 Days Ago
Remote or Hybrid
2 Locations
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.
Top Skills: Aws UltraclustersC#C++GoHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account