Core Platform @ Pave

The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence. In this role, you’ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.

Learn more about our engineering principles here!  

What You'll Bring

• 5+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
• Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
• Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling; ML/AI platform experience a plus
• Experience leading large technical projects with high ambiguity and numerous stakeholders
• Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind

Our stack includes: TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP

Compensation, It's What We Do.

Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. 

The targeted cash compensation for this position is (level depends on experience and performance in the interview process):

P4: $195,500 - $264,500

The Data Platform Team @ Pave

The Data Platform team owns the data infrastructure that makes Pave work — connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform evolves, what gets prioritized, and what engineering culture looks like from day one. As a Senior Software Engineer on the Data Platform team, you will design and build the connectors, pipelines, and platform capabilities that enable Pave to serve enterprise customers at scale. You'll have significant influence over the architecture and reliability of a system that touches every Pave customer.  

What You'll Do 

• Design and build new HRIS, EMS, ATS, and partner integrations, with a focus on enterprise-grade systems like Workday, BambooHR, and ADP
• Own integrations end-to-end — from connector design and data mapping through testing, rollout, and ongoing reliability
• Build and improve observability tooling — monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health
• Partner closely with product and go-to-market to prioritize connector coverage and unblock key deals
• Identify and address systemic reliability and scalability issues in Pave’s data platform

What You'll Bring

• 5+ years of experience building and shipping production-grade software, with meaningful exposure to integrations, data pipelines, or API platforms
• Strong understanding of integration patterns, API design, and the operational challenges of third-party data dependencies
• Experience working on enterprise B2B products and an understanding of the reliability and data quality standards they require
• Ability to lead technical projects with ambiguity — third-party APIs are rarely well-documented and requirements shift
• Execution oriented — eager to not only design solutions but dive into implementation and see them through to a reliable, monitored production state
• Experience with our tech stack: TypeScript, Node.js, React, GCP

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible 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.

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.

We offer a monthly stipend to cover:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

What comes with working at Pave:

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
• Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running. 

The Communicate Team @ Pave

The Communicate team builds the products that help companies communicate compensation with clarity, transparency, and trust. As part of this team, you will own core experiences used every day by thousands of employees, managers, and candidates to understand pay, rewards, and compensation decisions. This is a rare chance to join as a founding engineer on a high-impact product team. You will help define not just what gets built, but how the team operates, shaping the roadmap, influencing technical direction, and helping establish the engineering culture from the ground up. As a Senior Software Engineer, you will play a key role in building elegant, enterprise-grade product experiences for some of the world’s leading companies. The team’s immediate focus is on expanding enterprise capabilities and building AI-powered compensation intelligence features that help companies make better pay decisions and give employees a clearer understanding of their compensation. 

What You'll Do

• Build end-to-end product experiences that help companies like OpenAI, Databricks, and Atlassian communicate compensation to employees & candidates
• Solve enterprise-scale challenges, designing products that perform reliably for organizations with 150,000+ employees
• Develop AI-powered compensation intelligence features that help leaders make better pay decisions and surface issues before they become retention risks
• Play a foundational role in shaping the team and product. As a founding engineer, you will help define the technical architecture, engineering patterns, testing practices, and quality standards the team will build on as it grows. You’ll partner closely with Product and Design to shape the roadmap, influence priorities, and help determine what gets built

What You'll Bring

• 5+ years of full-stack experience building customer-facing web applications
• Strong product instincts with an ability to translate product requirements and user feedback into thoughtful technical decisions
• Strong execution skills and a high bar for engineering quality, testing, and reliability
• Ability to bring clarity to ambiguous problem spaces, break complex work into concrete milestones, and stay focused on the highest-impact opportunities
• Collaborative technical leadership skills, with the ability to work effectively across Engineering, Product, and Design, drive sound technical decisions, and bring others along through clear reasoning and good judgment
• Experience with our tech stack: TypeScript, Node.js, React, GCP

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible 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.

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.

We offer a monthly stipend to cover:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

What comes with working at Pave:

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
• Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running. 

The Data Platform Team @ Pave

The Data Platform team owns the data infrastructure that makes Pave work, connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform is architected, what gets prioritized, and what engineering culture looks like from day one. As a Staff Software Engineer on the Data Platform team, you will set the technical direction for how Pave builds, scales, and operates its integrations infrastructure. You'll have a direct line from your architectural decisions to product capabilities and customer outcomes.

What You'll Do

• Assess the existing integrations infrastructure and drive high-impact architectural changes that improve reliability, performance, and developer experience
• Set the technical direction for how Pave builds and operates its connector and pipeline platform at scale
• Design and build new partner integrations and establish patterns that make future integrations faster to deliver
• Own data quality end-to-end, building validation, anomaly detection, and confidence signals that ensure customer data is accurate and up to date
• Build and scale the normalization layer that transforms messy, inconsistent data from thousands of customers into Pave's canonical data model
• Evaluate and apply AI to data normalization challenges, including automated field mapping, entity resolution, and data quality detection to improve data quality and reduce the manual effort of onboarding new customers
• Build and improve observability tooling: monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health
• Partner with product, go-to-market, and engineering leadership to shape the integrations roadmap and surface technical tradeoffs and investment needs
• Mentor and uplevel the engineers around you, creating leverage through coaching and the standards you set

What You'll Bring

• 8+ years of experience building and shipping production-grade software, with significant depth in integrations, data pipelines, or platform infrastructure
• Demonstrated ability to assess an existing system, identify structural weaknesses, and deliver architectural improvements that have lasting impact
• Deep understanding of integration patterns, API design, and the operational challenges of third-party data dependencies at enterprise scale
• A track record of working across team boundaries and influencing technical direction without direct authority
• Strong judgment in prioritization - able to sequence a large surface area of work and create as much value through what you simplify or kill as through what you ship
• Execution oriented - equally comfortable defining the architecture and rolling up your sleeves to drive implementation

Compensation, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible 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.

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.

We offer a monthly stipend to cover:

• Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
• Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
• Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
• Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
• Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.

What comes with working at Pave:

• Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
• Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
• Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running. 

The Eng Team @ Pave

This role will be working on 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

• 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

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: $221,000 - $299,000

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.

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.

Core Platform @ Pave

The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence. In this role, you’ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.

Learn more about our engineering principles here!

What You'll Bring

• 3+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
• Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
• Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling; ML/AI platform experience a plus
• Experience leading large technical projects with high ambiguity and numerous stakeholders
• Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind

Our stack includes: TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP

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:
P2: $141,100 - $190,900
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.