The Role
Join as a Founding Account Executive to build revenue engines and own go-to-market strategy for early-stage portfolio companies. Drive traction to scalable growth, shape commercial direction, and accelerate company and personal growth within a venture-backed, high-growth environment.
Summary Generated by Built In
To further our commitment to driving the growth of S32's portfolio companies, we are looking for Founding Account Executives who are excited about building revenue engines from the ground up and taking ownership of go-to-market strategy from early traction to scalable growth.
If you are motivated to make a meaningful impact, help shape a company’s commercial direction, and accelerate your career in a high-growth environment, we would love to connect and explore potential opportunities.
About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has deep experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of transformative technologies that improve the human condition. We invest across the full spectrum of technology, including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
The base pay range for this role is $140,000 – $280,000 per year.
Skills Required
- Build revenue engines from the ground up
- Take ownership of go-to-market strategy from early traction to scalable growth
- Motivated to make a meaningful impact and shape commercial direction
- Comfort working in high-growth, early-stage company environments
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The Company
What We Do
S32 is a venture capital firm investing at the frontiers of technology, founded by Bill Maris. The firm focuses on accelerating the discovery, development, and distribution of revolutionary technologies that improve the human condition. They invest across various technological fields, including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.








