# **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 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.
# **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
Visa sponsorship is not available for this role.
