paveakatroveinformationtechnologies · San Francisco, CA · New York, New York, United States · San Francisco, California, United States
<div class="content-intro"><h3><span style="font-weight: 400; color: #4065ff;"><strong>Who We Are</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">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 <a href="https://www.forbes.com/lists/ai50/">Forbes AI 50</a> use Pave to benchmark compensation.</span></p> <p><span style="font-size: 12pt;">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.</span></p></div><h3><span style="color: rgb(64, 101, 255); font-size: 14pt;">The Compensation Planning Team @ Pave</span></h3> <p><span style="font-size: 12pt;">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.</span></p> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>What You'll Do</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Lead and grow an engineering team building the core planning and recommendation workflows used by compensation teams at companies like OpenAI, Databricks, and Atlassian</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Manage the team while staying close to the code: you should be comfortable reviewing designs and diving into implementation details when needed</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Drive the technical roadmap to help drive the product towards supporting companies with 150,000+ employees</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with Product and Design to translate complex compensation planning requirements into technical requirements</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Ensure the accuracy and reliability of planning calculations, given the direct financial impact on customers' pay decisions</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Align with other product and platform teams to reuse components, patterns, and shared data models</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Communicate complex technical and compensation concepts clearly to both technical and non-technical stakeholders</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Coach and mentor your team through regular, constructive feedback</span></li> </ul> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>What You'll Bring</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">7+ years of industry experience, including 2+ years of management experience on high-performing teams</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Confidence diving into technical details and challenging designs or solutions</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Demonstrated ability to lead and mentor teams through planning and execution of large technical projects spanning multiple quarters</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong communication and interpersonal skills to provide clear direction, set expectations, and give actionable feedback</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Ability to navigate ambiguity and tackle problems with high agency</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Nice to have: experience with b2b saas and/or financial systems where correctness and auditability of calculations are critical</span></li> </ul> <h3><span style="color: rgb(64, 101, 255); font-size: 14pt;"><strong>Compensation, It's What We Do.</strong></span></h3> <p><span style="font-size: 12pt;">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 — jus