Bretton AI is the leading AI agent platform for financial services. Companies like Robinhood, Mercury and Gusto trust us to automate mission critical work, starting with anti-money laundering and counter-terrorism investigations.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like SpaceX, Google, Netflix, Stripe, Plaid and more.
We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to deploy and integrate Bretton’s platform in real-world environments. This role sits at the intersection of engineering, customer deployments, and product discovery, helping customers implement Bretton’s technology in complex enterprise environments while uncovering insights that improve and scale the product.
Deploy Bretton's AI agents at banks, fintechs, and payments companies, navigating the security and compliance requirements that come with regulated environments.
Travel onsite to work through last-mile connectivity challenges, from wiring up core banking integrations to resolving edge cases that only surface in live production.
Partner with BSA officers, AML analysts, and risk teams to translate their workflows and regulatory requirements into agent behavior that reflects how their business actually works.
Build the connectors, configuration tools, and internal frameworks that turn one-off customer solutions into repeatable platform capabilities.
Guide customers from demo through go-live as a trusted technical advisor, helping them resolve issues quickly and expand the value they get from Bretton.
Work cross-functionally with engineering, product, and GTM to remove blockers and do whatever it takes to make customers successful.
Diagnose and resolve issues in real deployments by reproducing problems and collaborating with the engineering team to fix them.
Translate customer usage into product insights by sharing customer needs with engineering and product teams and identifying opportunities to turn recurring solutions into product features.
2+ years of experience as a software engineer or similar
Strong backend or data engineering background
Experience with Python, APIs, data pipelines, and cloud infrastructure
Previous experience in a customer-facing technical role (e.g., solutions engineer, forward deployed engineer, or technical implementation role) is a plus.
Actively building with LLMs and modern AI systems is a must
Excellent communication skills
Ability to explain AI systems to non-technical stakeholders
Strong debugging and problem-solving mindset
Comfort working with enterprise customers
$150k - $200k base salary + meaningful equity
Comprehensive healthcare, 401k matching, commuter benefits
15 days PTO + holidays, unlimited sick days
Flexible leave options
Working late? We cover DoorDash and Uber home
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