1,848,664open jobs
108,636companies
258,809added this week
Browse all
Salary
≈ $171k – $349k per year (Estimated)
Location
Hybrid (San Francisco, New York, United States)
Seniority
Staff · 7+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Jul 1, 2026. Pave scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Pave is compensation software that connects to a company's HR and equity systems to benchmark pay against real-time market data. Teams plan salary bands, run merit cycles and generate total rewards statements from the same source. Its benchmarking pool draws on data contributed by thousands of companies.

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, Doordash, Fanatics, 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 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 Compensation Planning Team @ Pave

The Compensation Planning team builds the products that help companies design, model, and run their annual and off-cycle compensation processes. This team owns one of Pave's highest-revenue product lines. As Engineering Manager, you'll lead the team responsible for the workflows that compensation and HR teams rely on to make accurate, defensible pay decisions at scale. You'll partner closely with Product and Design to shape the product roadmap, and with other engineering teams to align on the technical roadmap.

What You'll Do

  • Lead and grow an engineering team building the core planning and recommendation workflows used by compensation teams at companies like OpenAI, Databricks, and Atlassian
  • Manage the team while staying close to the code: you should be comfortable reviewing designs and diving into implementation details when needed
  • Drive the technical roadmap to help drive the product towards supporting companies with 150,000+ employees
  • Partner with Product and Design to translate complex compensation planning requirements into technical requirements
  • Ensure the accuracy and reliability of planning calculations, given the direct financial impact on customers' pay decisions
  • Align with other product and platform teams to reuse components, patterns, and shared data models
  • Communicate complex technical and compensation concepts clearly to both technical and non-technical stakeholders
  • Coach and mentor your team through regular, constructive feedback

What You'll Bring

  • 7+ years of industry experience, including 2+ years of management experience on high-performing teams
  • Confidence diving into technical details and challenging designs or solutions
  • Demonstrated ability to lead and mentor teams through planning and execution of large technical projects spanning multiple quarters
  • Strong communication and interpersonal skills to provide clear direction, set expectations, and give actionable feedback
  • Ability to navigate ambiguity and tackle problems with high agency
  • Nice to have: experience with b2b saas and/or financial systems where correctness and auditability of calculations are critical

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:

$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 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.

Pave uses automated tools, including AI-based fraud detection, to verify applicant identity and protect the integrity of our hiring process.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,848,664 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Leadership
Similar stack
Same company
San Francisco
≈ $193k – $361k per year (Estimated) • In office • 10+ years exp • Plano
Java
Java
Spring Boot
Databases
Apache Kafka
AI/ML
AI Agents
Human-in-the-Loop
LLM Guardrails
Frontend
GraphQL
DevOps
Rest API
gRPC
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Analytics
ETL/ELT
Apply
$189k – $291k per year • Remote (United States) • Full-Time • 7+ years exp • Sunnyvale
Apply
≈ $153k – $286k per year (Estimated) • In office • Full-Time • 10+ years exp • Bachelor's Degree • Fort Worth
Python
AI/ML
Multimodal AI
Interpretability
Machine Learning
Apply
≈ $120k – $225k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Grand Rapids
Management
Microsoft Office
Apply
≈ $159k – $286k per year (Estimated) • Remote (United States) • Full-Time • 10+ years exp • United States
AI/ML
AI Agents
Apply
≈ $10k – $24k per year (Estimated) • In office • Full-Time • 2+ years exp • Bachelor's Degree • Hyderabad
Python
JavaScript
SQL
Apex
Apex
MuleSoft
Databases
MySQL
PostgreSQL
Databricks
DevOps
Git
Analytics
Power BI
ETL/ELT
Informatica
Management
Agile
Scrum
Apply
AI Engineer 3 days ago
$90k – $103k per year • In office • Bachelor's Degree • Redmond
Python
AI/ML
AutoGen
Model Context Protocol
Computer Vision
AI Agents
NLP
OpenAI
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
$110k – $225k per year • In office • Full-Time • 10+ years exp • United States
Databases
Databricks
AI/ML
Copilot
Claude
Context Engineering
DevOps
Platform Engineering
Apply
Remote (likely United States, EST hours) • Full-Time
JavaScript
TypeScript
Databases
PostgreSQL
Supabase
AI/ML
Cursor
Claude
Claude Code
AI Agents
OpenAI
Frontend
Next.js
React.js
DevOps
Rest API
Vercel
CI/CD
Management
Stripe
Apply
$165k – $175k per year • Remote (likely United States) • Full-Time
Python
SQL
Python
pySpark
Databases
Databricks
AI/ML
Spark
DevOps
Azure DevOps
Azure
CI/CD
Git
Analytics
Power BI
ETL/ELT
Apply
≈ $114k – $218k per year (Estimated) • Hybrid • Contractor • 7+ years exp • Bachelor's Degree • Salt Lake City
Databases
Databricks
AI/ML
OpenAI
Machine Learning
Management
Stripe
Apply
Data Scientist 12 days ago
≈ $97k – $201k per year (Estimated) • Hybrid • 2+ years exp • Bachelor's Degree • San Francisco • New York
Python
SQL
Databases
Databricks
AI/ML
Claude Code
dbt
OpenAI
Machine Learning
Analytics
Tableau
Power BI
Looker
Management
Stripe
Apply
≈ $148k – $316k per year (Estimated) • Hybrid • San Francisco • New York
JavaScript
TypeScript
Node JS
Databases
MySQL
Databricks
ClickHouse
AI/ML
AI Agents
OpenAI
E2B
Machine Learning
DevOps
Terraform
GitHub Actions
Datadog
CI/CD
Kubernetes
Management
Stripe
Apply
$141k – $191k per year • Hybrid • 3+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Node JS
Prisma
Databases
MySQL
Databricks
AI/ML
OpenAI
Machine Learning
Frontend
React.js
DevOps
GCP
Platform Engineering
Management
Stripe
Apply
≈ $159k – $292k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Node JS
Prisma
Databases
MySQL
Databricks
AI/ML
OpenAI
Machine Learning
Frontend
React.js
DevOps
GCP
Platform Engineering
Management
Stripe
Apply
$230k – $262k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • New York • San Francisco • McLean • Plano
Python
Go
Java
C++
Scala
C++
TensorFlow C++
PyTorch C++
AI/ML
Spark
Reinforcement Learning
Scikit-learn
Transformers
TensorFlow
Pandas
NumPy
PyTorch
Ray
Explainable AI
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Kubernetes
Management
Agile
Apply
$170k – $200k per year • Hybrid • Full-Time • 4+ years exp • San Francisco
AI/ML
OpenAI
Anthropic
Management
Slack
Apply
≈ $41k – $78k per year (Estimated) • In office • Part-Time • 1+ year exp • San Francisco
Apply
≈ $189k – $351k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • San Francisco
Kotlin
SQL
AI/ML
Gemini
Apply
≈ $128k – $243k per year (Estimated) • In office • Bachelor's Degree • San Francisco
Databases
Google BigQuery
Google Cloud Spanner
BigQuery
AI/ML
AI Agents
Hallucination
DevOps
GCP
Apply
See all jobs
This is one of many
1,848,664 more open roles from verified company boards, updated every day.