Senior Software Engineer, Agent

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

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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 Agent 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

🎯 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.

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