Account Executive - Nonprofit

🏢 Windfall · 📍 San Francisco · 💼 onsite · ⏰ Full-Time 💰 $150,000 - $180,000 / yr

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Position Summary & Responsibilities

Windfall is hiring an Account Executive to win new business with small and mid-sized nonprofits. Our customers include food banks, museums, zoos, theaters, animal welfare organizations, advocacy groups and independent schools. They use Windfall's proprietary wealth data and AI applications to find the donors with the capacity and propensity to give more, and to focus their development teams on them.

This is a full-cycle, high-velocity seat. You'll build most of your own pipeline, run short sales cycles, and close a high volume of new logos. You'll close 10+ new nonprofit customers a quarter. You'll learn a proven playbook and a product that does what we say it does. Then we'll expect you to make the playbook better.

The nonprofit buyer is mission-driven and careful with every dollar. Winning here takes real discovery, a clear business case and a professional, consultative approach, even when the deal is moving fast.

We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.

🎯 Candidate Preparation Guide For Windfall Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Focuses on massive-scale data engineering, machine learning accuracy for identity resolution, and commercial pragmatism.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating dirty data as an afterthought rather than the core engineering challenge
2. Over-complicating machine learning architectures without validating baseline heuristics
3. Lacking awareness of data privacy, compliance, and governance frameworks

✨ Recommended Role Alignment Hook:

I specialize in turning fragmented, noisy consumer data into clean, actionable intelligence at massive scale.

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