New Grad Product Engineer

TitanSan Francisco, CA
12h

About The Position

About Titan: Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we’ve raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents who are seeing real-world impact on productivity. Our team brings together AI product expertise from Scale AI, Google, MIT, and Stanford, with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry’s top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role: We are looking for a "high-slope" New Grad who doesn't just want to code, but wants to build products that people actually use. As a New Grad Product Engineer at Titan, you’ll be paired with seasoned Senior Product Engineers (many of whom are ex-founders) to take on major product initiatives. This isn't a "rotational program" or a "shadowing" role - you will be expected to ship production code, talk to users, and iterate on AI-native features from day one.

Requirements

  • You’ve built something outside of class. A SaaS tool. A trading bot. A mobile app. A community product. Something with real users.
  • You’ve handled bug reports. Shipped updates. Felt the pressure of real feedback.
  • Pursuing or recently completed a CS degree from a rigorous program.
  • You understand fundamentals - data structures, systems, and architecture.
  • Comfortable with modern web technologies (TypeScript, Python, React).
  • Curious about AI systems and how LLMs change product design.
  • You don’t wait for perfect specs. You ask questions, unblock yourself, and move.

Nice To Haves

  • You’ve built something that generated revenue.
  • You’ve worked with AI/ML frameworks or integrated LLM APIs into real applications.

Responsibilities

  • Contribute to production features that integrate AI directly into technician workflows.
  • Code that ships. Code that gets used.
  • Participate in user interviews and feedback sessions.
  • Understand the operational problems behind what we’re building.
  • Own small-to-medium features end-to-end, backend logic, frontend implementation, and iteration after launch.
  • Learn how to balance speed with quality.
  • Experience the 0→1 phase inside a fast-scaling company.
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