Engineering Manager, Compensation Planning

🏢 Paveakatroveinformationtechnologies · 📍 San Francisco, CA 💰 $195,500 - $264,500 / yr

⚡ Direct Talent Broker Referral

Why apply through CandidatesReach?

✔ Tailored Executive Endorsement Letter: Highlight your real strengths and verified background directly to hiring leads.

✔ Your Preferred Screening Terms: Choose between a 1-minute quick phone screen or scheduled email calendar.

✔ $500 Cash Hiring Bonus: Receive $500 direct cash reward after 30 days of active employment.

Position Summary & Responsibilities

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

🎯 Candidate Preparation Guide For Paveakatroveinformationtechnologies Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Measuring compensation data intelligence, enterprise SaaS compensation workflows, and secure data handling standards.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating compensation data carelessly without strict confidentiality protocols
2. Failing to understand pay equity, compliance, and labor market dynamics
3. Building rigid systems that cannot adapt to complex merit matrix configurations

✨ Recommended Role Alignment Hook:

I engineer intelligent compensation infrastructure that turns messy labor market data into clear, equitable, and strategic pay strategies.

🔒 Free Candidate Preparation Access

Unlock Preparation Priorities & Alignment Hook

🤝 Talent Broker Referral · $500 Bonus Included

Apply for Engineering Manager, Compensation Planning

Setup your contact terms & referral note to get recommended directly to the hiring lead at Paveakatroveinformationtechnologies.

⚡ Continue with Google (Instant Setup)

or with email

Already have an account? Sign in here