Forward Deployed Engineer

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

- Flexible time off, unlimited sick days, and paid holidays

- Flexible leave options

- Working late? We cover DoorDash and Uber home