Bretton AI Series B

Forward Deployed Engineer

San Francisco, CA On-site $150K-$200K Mid (3-5 yrs) Added Jun 16

About the role

ABOUT BRETTON AI Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready. 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 Google, Netflix, Stripe, Plaid, Brex, 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.

Industry

AI / Financial Compliance

Top skills for this role

  • Backend/data engineering with Python
  • 2. LLM and AI agent systems development
  • 3. Enterprise customer-facing technical implementation in financial compliance

Languages

Python

Frameworks & tools

APIsdata pipelinescloud infrastructureLLM frameworks

AI / ML skills

LLMs and AI agent systems — actively building with LLMs required

Customer skills

Excellent communication, explaining AI to non-technical stakeholders, debugging, enterprise customer engagement

Domain knowledge

Financial compliance (AML, KYC, Sanctions), regulated financial environments, banking integrations

Travel: Yes — on-site travel to resolve last-mile connectivity challenges
Equity: Meaningful equity (not specified)

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