Senior Software Engineer (AI Tooling)
At a glance
Senior Software Engineering role at Triumph. San Francisco · full-time · $200,000–$400,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Find slowdowns across coding, CI, releases and post-release work, then build tools that remove them
- Estimate the time and cost of workflow problems to decide which improvements to tackle first
- Work with engineers to reduce wasted effort and risk in how they build and ship systems
- Take tooling from identifying a need through design, delivery and adoption, then track its impact
What you bring
- At least five years of software engineering experience
- You have delivered an internal tool or system that people used
- You can measure the problem you addressed and show what improved after your solution
- You can navigate unfamiliar code and work across the stack
Who this fits
This suits a senior engineer who spots workflow frustrations and takes initiative to fix them. You’ll establish this function’s practices rather than inherit an existing setup. The role is onsite in San Francisco.
From the employer
Triumph runs real money gaming at scale with a small engineering team. The thing that makes that work is leverage: the tooling and automation that let a handful of engineers operate like a much larger group.
That’s this job. You’ll look across our entire development and release process, find the friction, and remove it. Not a narrow slice of it, the whole thing, from local development through CI to what happens after code ships. We have a lot of unknown unknowns right now, and a lot of small things that could be better. Your first job is noticing them.
This is close to a greenfield function. Nobody owns this work today, so you’d be setting the standards rather than inheriting them.
What You’ll Do
Identify and eliminate friction in engineer workflows by constructing effective developer tooling.
Quantify the problem before you solve it. Figure out what a given piece of friction is actually costing in time and money, and use that to decide what to build first.
Go wherever the process needs attention. You won’t be pigeonholed into one part of the development or release cycle, and you’re free to propose improvements anywhere in it.
Work alongside our engineers. You make the people building our systems faster. When you see a way to reduce wasted time or risk in how they work, you step in.
Build and ship real systems end to end, from identifying the need through design, delivery, and adoption.
Measure what you shipped. Tooling that nobody adopts isn’t finished.
What We’re Looking For
5+ years of software engineering experience.
You’ve designed, built, and delivered an internal tool or system that real people used. Ideally something serving a team of roughly 20 to 100 engineers.
Experience quantifying your own impact. Being able to say what the problem was, how you solved it, and what measurably improved is the signal we care about most.
Strong engineering fundamentals across the stack. You can work in unfamiliar parts of a codebase and reason about what’s happening.
Observational instinct. A lot of this job is noticing what frustrates other people and caring enough to fix it, before anyone files a ticket.
Comfort working with AI. We’re an AI oriented company with an AI integrated development environment, and you should be willing and able to work inside it. Prior experience with AI coding or productivity tools is a plus, not a requirement.