Staff Front-End Engineer

Posted 15 Days Ago
Be an Early Applicant
Pittsburgh, PA, USA
In-Office
180K-280K Annually
Senior level
Angel or VC Firm • Financial Services
The Role
Join a VC-backed portfolio to build front-end-heavy, user-facing interfaces for AI platforms. Influence product direction, drive growth across portfolio companies, and help scale AI-focused products.
Summary Generated by Built In
To further our commitment to driving the growth of S32's portfolio companies, we are looking for Product Engineers (front-end heavy) who are passionate about building user-facing interfaces for AI platforms.

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 $180,000 – $280,000 per year.

Skills Required

  • Front-end engineering experience building user-facing interfaces
  • Experience building or integrating with AI platforms or AI-driven products
  • Product engineering experience at a startup or fast-growing company
  • Ability to shape product direction and drive significant impact
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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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