Solutions Engineer (Portfolio)

Reposted 13 Days Ago
Be an Early Applicant
Palo Alto, CA, USA
In-Office
130K-180K Annually
Mid level
Angel or VC Firm • Financial Services
The Role
Work with S32 portfolio companies to deploy AI systems into production, partner closely with customers, and bridge engineering and production to drive product and company growth.
Summary Generated by Built In
To further our commitment to driving the growth of S32's portfolio companies, we are looking for Solutions Engineers who are passionate about deploying AI systems into real-world environments, partnering closely with customers, and bridging the gap between engineering and production.

If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities.

About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

Compensation
The base pay range for this role is $130,000 – $180,000 per year.

Skills Required

  • Deploy AI systems into real-world production environments
  • Partner closely with customers to implement solutions
  • Bridge the gap between engineering teams and production operations
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The Company
37 Employees
Year Founded: 2017

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.

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