Bretton AI

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're looking for a detail-oriented, analytically-minded person to join our AI Operations team. You'll be on the front lines of ensuring our AI agents are performant for banks and fintechs fighting financial crime at scale — monitoring quality, testing new features, and working directly with engineering and customers to keep our platform running at its best. This is a rare opportunity to learn how cutting-edge AI systems work in production while making a real impact on global financial security. What You'll Do Conduct quality reviews of AI agents to ensure they meet the highest standards for compliance teams at banks and fintechs Test new features and custom logic before they go live for customers Analyze case data to identify patterns, issues, and opportunities for improvement Work directly with engineering to understand and measure the impact of system changes Learn state-of-the-art AI monitoring techniques including performance drift detection, human scoring pipelines, and dataset preparation Support our largest customers by providing operational insights and recommendations Partner with product and engineering to translate operational findings into platform improvements What Success Looks Like Month 1: Master our AI platform and learn complex compliance workflows. Shadow experienced team members and begin conducting your first case reviews. Month 2: Take ownership of operational support for major customer deployments. Conduct detailed quality assessments and partner with engineering to improve system performance. Ongoing: Become the go-to expert for AI operations, conducting critical reviews that directly shape product development and customer success. What We're Looking For 1–3 years of professional experience or equivalent internship experience Strong analytical and critical thinking skills with exceptional attention to detail Ability to review complex information and identify patterns or issues Comfortable learning new technical systems independently Strong written and verbal communication skills Excited to work in a fast-paced startup environment Bonus Points Exposure to financial services, fintech, or regulated industries Experience at a fast-paced startup Familiarity with coding/scripting — SQL, dashboards, quick scripts Customer-facing experience in any capacity Genuine interest in AI/ML systems and how they're deployed in the real world Compensation & Benefits $90k – $105k base salary + equity Comprehensive healthcare, 401k matching, commuter benefits 15 days PTO + holidays, unlimited sick days Flexible leave options Working late? We’ve got you covered with DoorDash and an Uber home

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 Google, Netflix, Stripe, Plaid and more. The Role We’re hiring a Deployment Strategist to lead the charge in deploying our AI agents into the complex and highly regulated environments of major banks and fintechs. You will be the bridge between our technology and our customers, ensuring our AI solutions solve real-world financial crime challenges while driving the expansion of our enterprise partnerships. This role is a unique blend of technical expertise, strategic thinking, and customer-facing leadership. You will work directly with our largest clients to design and implement deployment strategies that deliver measurable impact and inform the future of our platform. What You’ll Do Lead the end-to-end deployment of Bretton AI’s agents in highly regulated banking environments, ensuring the highest standards of quality and security. Develop and execute custom implementation plans, workflow integrations, and training sessions for new enterprise clients. Collaborate with go-to-market teams to expand enterprise contracts by identifying new use cases and opportunities within customer workflows. Present results, insights, and proposals to a wide range of audiences, from technical analysts to C-suite banking executives. Act as a critical feedback loop, embedding with product and engineering teams to translate customer insights into platform improvements. What We’re Looking For Must-Haves: 3+ years of experience in a B2B, customer-facing technical role such as AI deployment, product management, or strategy consulting. Proven experience working with highly regulated industries, particularly banking or financial services. A strong ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders. Exceptional communication and presentation skills, with a demonstrated ability to build strong relationships with banking executives. A hands-on, problem-solving mindset with the ability to dig into granular details for enterprise customers. Comfort and adaptability in a fast-paced environment, with a willingness to travel as needed. Bonus Points: Experience with programming, scripting, or statistical packages (e.g., Python, R, SQL). Previous experience at a startup, particularly in scaling customer deployments for enterprise clients. A background in compliance, risk management, or financial services operations. Experience presenting to C-suite executives and building executive-level relationships. Why You’ll Love Working Here Direct Impact: You will see your work directly influence how major financial institutions combat financial crime. Customer-Centric: You thrive at the intersection of technical solutions and customer success, solving real business problems. Strategic Influence: Your deployment expertise will have a direct, measurable impact on our product and company trajectory. High-Growth Environment: You are excited by the opportunity to build, innovate, and grow in a fast-paced, collaborative setting. Compensation & Benefits $170k - $200k + equity Comprehensive healthcare, 401k matching, commuter benefits 15 days PTO + holidays, unlimited sick days Flexible leave options Working late? We’ve got you covered with DoorDash and an Uber home Join us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

About Us Greenlite builds AI agents for financial crime teams. Fintechs and banks use Greenlite agents to automate workflows like suspicious activity investigations, entity due diligence and regulatory reporting. We're backed by Greylock and already have large banks and public companies using us in production every day. We're amongst the fastest growing enterprise AI companies in the world and we're looking for people who want to help us move even faster. The Role Our GTM team brings our advanced AI to enterprise financial services companies around the world. We're looking for someone who wants to roll up their sleeves and help build enterprise pipeline, close deals, and develop our go-to-market motion. We sell to US banks, enterprise fintechs and brokerages and are looking for someone who is excited by bringing AI to the largest financial institutions in the world. Ideal candidate credentials Experience with consultative sales, ideally with enterprise tier customers Skilled at building pipeline 3+ years of experience at a top B2B company in a GTM role Previous experience founding or working at startups is a plus Experience closing six-figure ACVs Work closely with customers to understand their needs and pain points. Synthesize learnings into effective messaging that can be used across sales & marketing Skills You’re scrappy and aren’t afraid of making mistakes. You can iterate quickly. You’re a problem solver. You’re able to take a complex objective and find non-obvious ways of making progress towards it. You’re a first-principles thinker who can break down complex problems into their most basic elements. You’re capable of quickly tackling challenges you’ve never seen before. You have extraordinary customer empathy and craft compelling messaging to technical buyers (e.g. engineering and product leaders) You're an exceptional communicator and can build relationships with banking executives

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 Financial crime is one of the largest hidden problems in the global economy. Money laundering alone moves an estimated $2 trillion through the financial system every year, funding everything from sanctions evasion to human trafficking to terrorism. We're hiring investigators to catch it. You'll dig into transaction patterns, trace money across counterparties, and decide whether what you're looking at is a false alarm or something worth escalating. You'll also work with the most advanced AI tooling in the industry. Bretton's AI does the routine work, such as pulling data, surfacing red flags, and drafting first-pass narratives, so you can spend your time doing what investigators do best: noticing what doesn't add up, asking the next question, and making the call. You'll also be the closest connection our Product and Engineering teams have to real-world investigations. What you notice in the work directly shapes what gets built next. Edge cases you flag become new AI capabilities. Patterns you surface drive the product roadmap. You won't just be using the most sophisticated AI tooling in financial crime, you'll be the reason it gets better. This is real investigative work, on real cases, with real stakes. If you want a front-row seat to the most consequential AI work happening in financial crime, this is it. What You'll Do Investigate transactions, counterparties, and customer activity to figure out what's really going on Work alerts using established AML procedures, separating false positives from genuine red flags Use Bretton's AI agents to accelerate research, transaction analysis, and narrative drafting, then bring your own judgment to what the AI surfaces Write clear, defensible narratives that hold up to quality assurance and regulatory scrutiny Document your findings in the case management system to a high standard Partner directly with Product and Engineering, surfacing edge cases, gaps, and opportunities that shape Bretton's roadmap What Success Looks Like Month 1: Onboard, learn the relevant procedures, and start working live cases with structured support. Build deep familiarity with the work you'll do at Bretton. Month 2: Hit steady-state production with strong quality scores. Handle routine work independently and bring sharp questions to complex cases. Start contributing to procedural calibration discussions and product feedback loops. Month 3: Become a trusted contributor on the team. Your hands-on insights shape how our AI evolves. Strong performers are positioned for extended engagements and expanded scope as our financial crime team grows. What We're Looking For We're hiring at multiple levels. Whether you're early in your career or bring years of investigative experience, we want to hear from you. A degree in finance, accounting, criminology, economics, business, law, political science, or a related analytical field, or equivalent professional experience Strong written analysis skills. Your writing is clear, structured, and stands up to scrutiny Sharp attention to detail and the instinct to notice when something doesn't add up Sharp judgment under ambiguity. You know when to dig deeper, when to escalate, and when to close Comfort working independently in structured procedural environments. You can follow detailed instructions without losing the bigger picture Genuine curiosity about how financial crime actually works and how to stop it Comfort working alongside AI tools.

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

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. About the Role Every pixel we ship has to earn their trust. That means making sophisticated automation feel legible, making audit trails obvious, and making reviewers faster without ever making them guess what the agent just did. This is Bretton's first Design Engineer hire. You'll own the production layer of the product's interface and serve as the guardian of the design system in code, building the components and patterns the rest of the product is built on, and holding the line on performance, accessibility, and reliability as our product scales. You'll partner closely with our product designer on overall direction, build on insights from research, and work with the engineering team to translate that work into front-end code that's ready to ship. The bar: code that holds up at scale and interfaces that feel considered down to the last interaction. We start by understanding the problem before reaching for a tool. AI and self-serve research are default parts of the workflow, not side experiments. The toolkit is whatever moves the work forward: LLMs for thinking through intent and constraints, Cursor and Claude Code for building, Figma when the design system needs attention. We're looking for someone with the instincts of a designer, the rigor of a front-end engineer, and a working relationship with AI that goes beyond the prompt box. What You'll Do Own the design system in code. Build, maintain, and evolve the components, primitives, and patterns the rest of the product is built on. Make decisions that constrain future work in healthy ways. This is the role's center of gravity. Ship the production version of design-heavy work. Take concepts from prototype to production-grade front-end code. Hold the line on performance, accessibility, and reliability for interfaces that compliance analysts use for hours at a time. Make agent behavior legible. Compliance reviewers need to understand what Bretton's agents investigated, decided, and flagged, often well enough to defend it under audit. Design and build the interface patterns that earn that trust without overwhelming the default experience. Partner with our product designer on direction. Validate ideas through working code, push back when something won't hold up in production, and turn shared decisions into shipped interfaces. Pair with engineering to land work in the codebase. Collaborate with the engineering team on architecture, integration, and the long-term health of the front-end. Your code ships into the same codebase they work in, not a separate one. What we’re looking for Significant production front-end experience, with examples of interfaces you owned from concept through shipped code Fluency in React, TypeScript, semantic HTML, and modern CSS, with strong instincts for component architecture Active use of Claude Code, Cursor, or similar AI-coding tools, with clear views on how to get production-grade output from them A portfolio of working interfaces (live or prototype) that demonstrates visual and interaction craft A systems mindset: interest in building primitives others compose with, and judgment about what belongs in the system versus what stays bespoke Care for performance, accessibility, and reliability as part of how you define craft, not as separate concerns Comfort collaborating with a product designer, engineers, and compliance domain experts who will push back on your work Bonus points Experience contributing to or owning a d

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 As a Senior Infrastructure Engineer , you will own the foundation that enables us to deploy secure, compliant AI systems at major financial institutions fighting financial crime at a massive scale. Our infrastructure is built on a modern, container-native architecture, leveraging Docker and Kubernetes to deliver consistent, auditable deployments across diverse customer environments. You will work directly with our largest customers—institutions serving over a billion people—to architect, automate, and harden our on-premises and cloud environments to meet the strictest regulatory and performance requirements, including SOC 2 compliance. Your work will be informed by real customer needs and will ship to everyone, so you must build enterprise-grade systems, work effectively with engineering and customer teams, understand financial services compliance, and adapt quickly. What You’ll Do Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies. Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation. Build and maintain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing. Drive incident response for high-severity outages and proactively model capacity needs for low-latency AI inference. Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments. Maintain and improve the infrastructure controls that support our SOC 2 compliance posture. Lead customer engagements for enterprise rollouts and mentor mid-level engineers on infrastructure best practices. What We’re Looking For Must-Haves: 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies. Experience with Docker and Kubernetes, including production cluster management, Helm, and service mesh technologies. A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale. Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing). A strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize) and safe deployment practices (progressive delivery, canary deployments, GitOps, automated rollbacks). "Battle scars" from leading outages, capacity events, and large-scale incident reviews. Strong programming skills in Python. Bonus Points: Familiarity with TypeScript. Direct involvement in SOC 2 or other compliance audit preparation or remediation. Direct experience with private-cloud or on-premises deployments for regulated customers. Previous experience at startups scaling infrastructure from the early stages to the enterprise level. A background in fintech or building systems for highly regulated industries. Experience with AI/ML infrastructure and model deployment at scale. Why You’ll Love Working Here Build for Scale: You thrive at the intersection of technical leadership and customer impact, building systems that enable rapid development while maintaining the highest standards of security, compliance, and reliability. Infrastructure as a Product: You see infrastructure as a product for your engineering peers and understand the value of platform automation in enabling developer velocity. High-Impact Work: Your contributions wi

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’re hiring Product Engineers who excel at turning complex customer problems into elegant technical solutions. You’ll own substantial features from conception to production, working directly with customers to understand their needs, designing scalable architectures, and shipping code that measurably improves compliance operations. This role combines deep technical work with high customer impact. You’ll build systems that process thousands of cases, save compliance teams significant time, and directly contribute to company revenue. What You’ll Build Develop intuitive interfaces for case management, reporting, and analytics. Build document analysis and verification systems. Build agentic workflows that coordinate AI tools and data services to perform research, enrichment, and verification, while keeping humans in the loop for review. Create tools that help customers configure and customize their compliance workflows. What We’re Looking For Must-Haves: 4+ years (Engineer) / 6+ years (Sr. Engineer) / 8+ years (Staff Engineer) of experience building production software. Strong full-stack capabilities, including backend services, APIs, databases, and (nice-to-have) frontend development. A track record of shipping customer-facing products where reliability is critical. An end-to-end ownership mindset, from requirements gathering through deployment and iteration. Clear communication skills—you can explain technical decisions to diverse audiences. Product thinking—you understand why you’re building something, not just how. Valued Experience: Building workflow engines, orchestration systems, or process automation tools. Working in regulated industries where compliance, auditability, and data integrity are critical. Integrating AI/LLM capabilities into production applications. Creating configuration systems, admin tools, or workflow builders for non-technical users. Designing systems for multi-tenancy, versioning, or complex authorization models. A strong foundation in data modeling and distributed systems. Technical Skills: We work with a mix of TypeScript, Python, Node.js, React, cloud infrastructure, and workflow orchestration frameworks. You don’t need prior experience with our exact stack, but you should be comfortable learning new technologies quickly and applying them in production. Why You’ll Love Working Here Meaningful Work: Solve hard problems that help financial institutions fight fraud and manage risk. Technical Complexity: Build AI agents, workflow engines, data pipelines, and sophisticated UIs. Customer Connection: Work directly with users, see your impact, and iterate based on real feedback. True Ownership: Ship features that matter, influence product direction, and own outcomes. High Growth: Join during a phase where your contributions will shape the company’s future. Compensation & Benefits $168k - $213k 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 Join us in building AI that protects the global financial system from financial crimes that fund terrorism and human trafficking.

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 As a Solutions Engineer , you will be the technical bridge between our Account Executives and our prospective customers, playing a critical role in how they understand, adopt, and succeed with our AI agents. This is a highly cross-functional role where you will combine your technical credibility with your sales acumen to demonstrate value, build trust, and accelerate deals. You will be the technical voice of the customer, translating their needs into solutions and providing invaluable feedback to our product and engineering teams. You will get to show prospects how cutting-edge AI can transform their compliance operations, presenting to both CTOs and Chief Compliance Officers. What You’ll Do Partner with Account Executives to scope and deliver compelling, customized demos that are tailored to the specific business needs of our prospects. Develop proof-of-concepts and prototypes that showcase how our AI agents can solve our customers’ most pressing problems. Present our technical solutions to both business and technical stakeholders in a clear and persuasive manner. Confidently handle technical objections, including questions about integration, compliance, and performance. Collaborate with our Product and Engineering teams to provide feedback from the field and influence our product roadmap. Contribute to our sales enablement materials, demo environments, and best practices to help scale the impact of our solutions engineering team. What We’re Looking For Must-Haves: A strong technical background in software engineering, solution architecture, or technical consulting. Excellent communication and presentation skills, with the ability to translate complex AI concepts into tangible business value. Comfortable building quick prototypes and debugging code in real-time. A consultative, customer-first mindset with a passion for creative problem-solving. Bonus Points: Experience in fintech, compliance, or with AI products. A background in a customer-facing technical role. Why You’ll Love Working Here Bridge the Gap: You love being the technical expert in the room and enjoy the customer-facing side of technology. High-Impact Role: You will blend deep technical knowledge with business strategy to help close deals and drive revenue. Shape the Product: You will be the voice of the customer, providing critical feedback that influences our product roadmap. Solve a Critical Problem: You will be at the forefront of helping financial institutions use AI to fight financial crime. Compensation & Benefits Competitive salary + equity + commission Comprehensive healthcare, 401k matching, commuter benefits 15 days PTO + holidays, unlimited sick days Flexible leave options Working late? We’ve got you covered with DoorDash and an Uber home Join us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.