Forward Deployed Engineer

About Bretton AI

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 (AML) and counter-terrorist financing 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.

The Role

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.

What You'll Do

• 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.

Technical Qualifications

• 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

Soft Skills

• Excellent communication skills
• Ability to explain AI systems to non-technical stakeholders
• Strong debugging and problem-solving mindset
• Comfort working with enterprise customers

Compensation & Benefits

• $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