Sales Development Representative

🏢 Paveakatroveinformationtechnologies · 📍 San Francisco, CA 💰 $95,000 - $95,000 / 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

Pave's sales team is looking for a driven Sales Development Representative to help accelerate our growth and expand our compensation network. As an SDR, you'll play a pivotal role in our go-to-market strategy, prospecting into HR and Finance leaders and opening conversations about how companies can revolutionize their approach to compensation. This role offers unique exposure to founders, investors, and industry leaders while helping shape the future of compensation technology.

What You'll Do

Generate qualified pipeline through outbound prospecting across phone, email, LinkedIn, and other engagement channels
Research target accounts and develop personalized outreach strategies that resonate with executive stakeholders
Partner closely with Account Executives to build account plans and execute coordinated outbo

🎯 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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