
Senior Product Engineer at Titan (New York, NY / San Francisco, CA)
Titan· New York, NY / San Francisco, CA·
Role details
Summary
Titan is seeking a Senior Product Engineer to own ambitious product initiatives from ideation to deployment. The role involves integrating LLMs and autonomous agents into production workflows, building interfaces for MSP partners, and driving engineering velocity in a high-agency environment.
Job description
SENIOR PLATFORM ENGINEER
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 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 redefine how work is done in IT Services and building a $100B company.
About The Role:
As a Senior Product Engineer at Titan, you are a high-agency owner of our most ambitious product initiatives. We are looking for "engineers-as-founders" who thrive when given a high-level objective—like "Automate 40% of L1 support tickets"—and the autonomy to navigate from ideation to deployment independently. You’ll sit at the intersection of AI and real-world operations, working directly with our MSP partners to build AI-native products that solve their highest-stakes pain points. This is a "0 to 1" opportunity for a builder who wants to see their code fundamentally rewrite the economics of a multi-billion dollar industry.
What You Will Do:
- Own major product initiatives from idea through deployment and iteration. Make trade-offs. Ship. Measure results. Improve.
- Work closely with our AI team to integrate LLMs and autonomous agents into practical, production-grade workflows. Build interfaces that technicians rely on daily.
- Talk to users. Observe workflows. Identify inefficiencies. Translate ambiguity into product decisions that materially improve operations across acquired MSPs.
- Move quickly without sacrificing quality. Write clean, maintainable code. Balance speed with durability.
- Set the standard for product quality and engineering velocity as we scale.
Who You Are:
- You’ve built something from scratch — as a founder or early engineer. You thrive when given a goal and minimal instructions.
- You care about outcomes, not just implementation. You think in terms of user impact and business leverage.
- You take initiative. You don’t wait for permission. You close loops.
- You can explain trade-offs clearly — to engineers, operators, and leadership.
- You can build modern web applications end-to-end (e.g., React, TypeScript, Python, Node). You’re comfortable integrating AI into real systems.
Bonus:
- Experience in highly regulated or precision-driven environments (e.g., fintech, hedge funds, complex enterprise systems).
- Experience as an early employee at a high-growth, venture-backed startup.
Why work at Titan
- Culture & engineering philosophy: “Build on the frontier of AI augmented services” – Titan operates like a startup in engineering caliber, focusing on solving hard problems in IT automation (LLM agents, predictive analytics). Small team with direct impact.
- Work environment: In-office workspace headquartered at 44 W 18th St, New York, NY. Emphasis on collaborative, on-site work.
- Talent pool: Employees come from top tech firms (Scale AI, Two Sigma, Hightouch, Beyond Identity) and consulting backgrounds (Deloitte).
- Growth opportunity: Rapidly scaling (+312% YoY headcount); roles include Forward Deployed Engineer, Software Engineer, Agent Product Manager, and Head of Marketing/Growth.
- Notable perks: Not detailed publicly, but the company offers equity in a well-funded ($74M) AI startup from a top-tier VC.