Enterprise Account Executive

🏢 Paveakatroveinformationtechnologies · 📍 San Francisco, CA & New York, NY 💰 $300,000 - $300,000 / 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 Sales Team @ Pave

As an Enterprise Account Executive at Pave, you'll be at the forefront of revolutionizing how companies approach compensation. Working directly with HR and Finance executives, you'll help shape the future of compensation technology while playing a crucial role in our go-to-market strategy. As one of our Enterprise AEs, you'll have the unique opportunity to influence product direction and scale our enterprise motion while working alongside founders, investors, and industry leaders.

What You'll Do

Drive complex, multi-threaded sales cycles with strategic prospects, focusing on six-figure deals that expand Pave's compensation network
Partner with prospects' HR and Finance leadership to understand their compensation challenges and demonstrate how Pave can transform their practices
Collaborate with product and engineering teams to inf

🎯 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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