What You'll Do

Take end to end ownership of the short and long term technical vision
Provide technical mentorship and guidance to engineers within your team and others
Help your team to improve the technical quality of their work through regular technical design and code reviews
Be responsible for all major technical decisions for your squad (a successful lead will be able to influence the decisions of their team without having to make all of them)
Share your technical knowledge and expertise through regular tech talks and/or blog posts
Communicate effectively with engineers, product managers, customers, partners, and other leaders
What You'll Need

We expect that as an individual contributor, you are a role model
You will be expected to guide the technology decisions of your team, while contributing alongside them
Equivalent of 8+ years of experience on senior engineering roles (designing APIs, abstractions, and tools used by other engineers)
Expert-level knowledge of:
Microsoft .NET technology stack (C#/JAVA/ .NET, https://jobeax.com/link/GrYTXLZMpxEMJknV MVC, Web APIs) and SQL databases (Postgres, Microsoft SQL Server or any other)
HTML5 and JavaScript; experience with Typescript and React is a plus
Git, unit testing, debugging, profiling, performance monitoring
Strong communication and technical writing skills
B.S., https://jobeax.com/link/2DENLGgQM7whDhaE, M.S., https://jobeax.com/link/s1WvHFV9ITSwCkyS, or PhD in Computer Science or equivalent education
Hands-on, daily experience using AI coding assistants (Cursor, GitHub Copilot, Claude Code, or similar) to write, refactor, debug, or review code
Working understanding of how LLMs function at a practical level (context windows, prompting, hallucination risks, strengths/limitations) — enough to use them effectively and evaluate their output critically, not academic ML expertise
General awareness of current AI trends and tools relevant to software engineering, and genuine interest in keeping that knowledge current
Track record of leading technical projects end-to-end with minimal oversight, including ambiguous, cross-team initiatives
Strong code review discipline and a demonstrated history of setting or raising engineering quality bars on a team
Strong communication skills — able to explain technical tradeoffs to both engineers and non-technical stakeholders
Experience mentoring other engineers and influencing engineering culture and practices
Nice to Have:

Experience integrating AI/LLM APIs into product features (even at a basic, API-consumption level)
Familiarity with prompt engineering basics for coding or productivity use cases
Experience establishing or improving AI-tool usage guidelines/policies on an engineering team
Experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes)
Contributions to internal tooling, developer experience, or engineering productivity initiatives

Be Human With Us:
Being human isn't about checking every box on a list. It's about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we're solving. We're in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, sexual orientation, or any other characteristic protected by applicable laws.

Staff Software Engineer (ML)

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