Tech Lead

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 seeing real-world impact to productivity. Our team bring 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’re looking for a Tech Lead to own the architecture, delivery, and evolution of our AI-powered IT automation platform. This is a hands-on leadership role; you’ll write code, set technical direction, mentor engineers, and work directly with founders to shape the product roadmap. You’ll be an early leader in building the engineering culture and scaling the team.

What You’ll Do

• Lead technical design and architecture decisions to ensure our systems are scalable, secure, and performant.

• Own delivery of major product initiatives from concept to production.

• Write clean, maintainable code and set engineering best practices for the team.

• Mentor and guide engineers, conducting design reviews and fostering technical growth.

• Identify and implement process improvements for speed and quality as we scale.

• Help with recruiting and onboarding as we grow the engineering team.

Who You Are

• 6+ years of software engineering experience, with 2+ years in a technical leadership capacity.

• Proven track record of leading the design and delivery of complex, scalable systems.

• Deep experience in one or more: Python, Node.js, Go; strong knowledge of cloud environments (AWS, GCP, or Azure).

• Strong understanding of API design, distributed systems, and real-time data processing.

• Comfortable working with ambiguity in a fast-moving startup environment.

• Skilled at balancing long-term technical vision with short-term delivery needs.

• Bonus: experience integrating LLMs, AI-powered automation, or observability tools.