Sphinxhq

Product Engineer

San Francisco · Contract

Sponsorship not specifiedDetected 149 days ago

RESTMachine LearningAgentic AIResearch

About the role

tl;dr: We're automating compliance for banks and fintechs with AI agents that work like human analysts - on a browser.
While our core engineering team scales what works, we need someone to figure out what's next.
Background Before you can move money or open an account, someone has to make sure you're not a criminal.

If you love building prototypes that become products, pushing the boundaries of what AI agents can do, and shipping experiments that change the roadmap, we should talk.
Sphinx builds AI analysts that work inside browsers, APIs, and internal systems just like humans - automating AML, KYC, KYB, and transaction monitoring end-to-end.
We need someone whose entire job is to explore that gap - building new agent capabilities, prototyping new product surfaces, and turning "what if" into "ship it."
Build new product features from scratch.
Own the full stack.
You think like a PM and build like an engineer.
Your experiments will shape what Sphinx builds next.

You have strong fundamentals in software engineering and a working knowledge of ML/AI systems.
You have strong ideas about what AI agents should be able to do and how people should interact with them.
Before you can move money or open an account, someone has to make sure you're not a criminal.

Our co-founders previously sold an AI company & have built ML systems that scaled to millions of users and closed deals with major banks.
The rest of our team in SF includes PhDs, industry experts, and competitive coders.
We move fast with minimal process.
You need to articulate what you're building, why it matters, and what you've learned - to engineers, to the CEO, and to customers.
Every product has a backlog of "we should build that." Your job is to pick the best ones, prototype them, and turn them into features customers love.
We're not chasing investors, we're chasing customers.
You'll talk to customers to understand their pain, prototype solutions, test with real users, and iterate until it's right.

This listing is sourced directly from Sphinxhq's careers page and normalized into a canonical job model.