Titan (titanmsp.ai) Logo

Titan (titanmsp.ai)

Staff Product Engineer

Reposted 23 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Lead end-to-end product initiatives integrating LLMs and autonomous agents into production workflows. Build modern web applications, work directly with MSP partners, observe user workflows, ship production-grade features, and iterate on results to improve operational outcomes.
The summary above was generated by AI
Staff 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 Staff 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.

Similar Jobs

8 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
200K-350K Annually
Senior level
200K-350K Annually
Senior level
Fintech • Software • Financial Services
Design and build a high-performance, AI-native web trading experience for sophisticated retail traders. Ship core trading workflows (order entry, positions, blotter, watchlists, alerts), implement trustworthy AI UI patterns, collaborate with backend engineers on low-latency contracts, and iterate quickly with users and stakeholders to deliver end-to-end product features.
Top Skills: PostgresReactReact NativeRustTypescript
9 Days Ago
Easy Apply
In-Office
Easy Apply
164K-226K Annually
Senior level
164K-226K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
Lead vehicle-level fluid system architecture for propellant, pressurant, and pneumatic subsystems. Drive cross-functional integration, perform thermofluids sizing and analysis, define test and qualification plans, and support CONOPS and operational validation to ensure flight-ready fluid systems.
Top Skills: C++MatlabPython
11 Days Ago
Hybrid
San Francisco, CA, USA
220K-260K Annually
Senior level
220K-260K Annually
Senior level
Artificial Intelligence • Healthtech • Logistics • Social Impact • Software • Telehealth
Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, integrate external health systems and medical devices, solve operational challenges at scale, and collaborate with product, data, ops, and clinical teams to deliver secure, reliable production software.
Top Skills: AmplifyAppsyncAWSCloudFormationDynamoDBGraphQLJavaScriptLambdaNode.jsReact NativeReact Native For WebTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account