--- title: 'Software Engineer, Applied AI at Greenlite' canonical: 'https://feeny.ai/job/software-engineer-applied-ai-greenlite-san-francisco-pfpzs8d5jcvx' type: 'job' last_seen: '2026-09-05' --- # Software Engineer, Applied AI at Greenlite - **Company:** Greenlite - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2024-06-18 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.gem.com/greenlite-ai/am9icG9zdDrUvSE1kUDPtymuUs7YO2AP ## Job description ## About Us Fintechs and banks use Greenlite agents to automate workflows like suspicious activity investigations, entity due diligence and regulatory reporting. We've raised $4.8M led by Greylock, generate significant annual recurring revenue and already serve financial institutions across three continents. We're on a high-growth trajectory and we're looking for people who want to join us on the journey to building a billion-dollar company. The problem we’re trying to solve The internet revolutionized the way financial services are distributed, making them more accessible and convenient than ever before. However, this rapid expansion has also led to a new challenge: an overwhelming amount of noise and a scarcity of clear, actionable signals for making sound risk decisions. Today, teams are faced with the increasing challenge of navigating the complex landscape of compliance and onboarding. Manual due diligence processes are time-consuming and difficult to scale, hindering the ability to efficiently identify and mitigate risks. ## How we’re solving this problem This is where Greenlite comes in. Our mission is to boost the signal amidst the noise, empowering financial institutions to make informed decisions and expand access to financial services for the businesses and individuals who need it most. With the help of large language models, we're transforming the way compliance and onboarding teams operate, enabling them to work smarter, faster, and more effectively. ## The Role As a Software Engineer, Applied AI at Greenlite, you’ll work on building our core agent frameworks, innovating on how LLMs are used by the world's largest enterprises. You'll be testing, deploying, and scaling delightful AI experiences in addition to ensuring that our outputs are extremely high quality. This role is perfect for someone who is obsessed with language models and wants to spend their time becoming an expert in applied AI. What to expect Within days: - Translate novel LLM capabilities into understandable, intuitive, and performant end-user experiences. - Work directly with customers to solve their problems. We need someone who has high empathy and is excited by working side-by-side with financial crime teams to solve critical real world problems. - Collaborate with the CEO, CTO, and other founding members to help build out our team. Within weeks: - Build integration and product infrastructure for LLMs. Provide Greenlite agents with the infrastructure, data sources, and tools they need to automate workflows for financial compliance teams. - Lead customer calls and the development of new features end-to-end. Within months: - Own the architecture and development of our AI product frameworks. Scale our AI services to reliably serve customers across geographies, tech stacks, and business types. - Hire, onboard, and nurture future teammates. Our tech stack - NextJS - Node - Postgres - Typescript If you, like us, believe that AI can transform the way we work, this role is a great fit for you. ## About You - Customer curious — You are interested in deeply understanding customer pain points and are motivated to engage with and solve customer problems. - Experience building, and being part of, fast-growing B2B software products — You’ve worked on some of the world's best teams where you needed to ship fast and often. Bonus if you’ve built fintech or enterprise software products for large customers. - Entrepreneurial drive — You’re able to work without explicit direction and feel intense ownership over the products you create. As a founding member, you’ll be expected to thrive in the ambiguity that comes with an early-stage startup and can get things done without overcomplicating the solution. - Strong communicator — As an early-stage startup, there will be lots of changes and ambiguity in the beginning. You should be comfortable sharing your feedback early and often, and you should be comfortable bringing up product ideas frequently. Important Details Base salary: $120K - $200K Generous Equity Location: San Francisco, CA Work type: Onsite ## About Greenlite ## Company Overview - **One-liner**: Greenlite (also known as Bretton AI) provides an AI agent platform that automates financial crime compliance tasks like KYC, AML, and sanctions screening for regulated banks and fintechs. - **Entity Type**: Private (Series B stage; total funding $20.4M) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 (incorporated as Greenlite, Inc.) - **Founders**: Will Lawrence (CEO) and Alex (co-founder, former Dropbox/Flixed) ## Core Business - **Primary Industry**: Financial Services Compliance Technology / Regulatory Technology (RegTech) - **Target Customers**: B2B – regulated financial institutions including banks, fintechs, and entities overseen by the OCC, FDIC, and SEC - **Mission**: To help financial institutions unlock growth by using AI agents to handle routine AML/KYC tasks, allowing human teams to focus on higher-leverage work and risk-based decisions. ## Products & Services - **Greenlite AI Agent Platform**: A workforce of AI agents that learn a client’s review policies and work 24/7 to action false positives, investigate high-risk customers, and create audit-ready narratives. Supports three agent archetypes (more planned) that can be customized with company policies, data sources, and fuzziness thresholds. Cases requiring a risk-based decision are escalated to full-time employees with enriched investigation details. ## Market Standing - **Valuation/Market Cap**: $23.4M (estimated based on 2025 M&A Offer round per Latka) - **Key Metric – Total Funding**: $20.4M across 4 rounds (Seed: $125K, Pre-Seed: $500K led by Y Combinator, Seed: $4.8M led by Greylock, Series A: $15M led by Greylock; Series B led by Sapphire Ventures with 6 investors) - **Notable Investors/Partners**: Y Combinator, Greylock, Sapphire Ventures; partner: Sandbar (2024 partnership for AML investigations) - **Growth Signals**: - Headcount grew from ~44 (LinkedIn 2025) to ~71 (Latka 2026) - LinkedIn followers: 7,960 with +4.6% monthly growth - Revenue estimated at $7.8M ARR in 2025 - Serving OCC/Fed/FDIC-regulated clients - Expanded from fintechs to regulated banks ## Competitive Advantages - **Proprietary Trust Infrastructure**: A system of model validation, governance, and auditability guardrails enabling AI use in key regulated workflows – a significant moat in the highly regulated financial services sector. - **Deep Compliance Expertise**: Founded by a former Facebook AML product lead (Will Lawrence) who built compliance infrastructure at Paxos, giving unique domain understanding. - **Agent + Human-in-the-Loop Model**: Escalates only risk-based decisions to FTEs, reducing alert volume while maintaining control – differentiating from pure automation or outsourced teams. ## Strategic Focus - **Scaling to larger regulated institutions**: Already winning business from banks overseen by OCC, FDIC, and SEC. - **Expanding agent archetypes**: More types of compliance agents beyond initial KYC/AML/sanctions. - **Building on Trust Infrastructure**: Continuing to develop model validation and auditability to meet evolving regulatory standards. - **Growing top-of-funnel through partnerships** (e.g., Sandbar) and direct enterprise sales. ## Why Work Here - **Culture**: Fast-paced, mission-driven startup focused on transforming compliance – a typically manual, high-stakes area – with AI. Employees describe a "leading AI agent platform for financial services" culture. - **On-Site Requirement**: In-office role per the careers page (forward deployed engineer, backend engineers, etc.). HQ in San Francisco, California. - **Team Composition**: ~66–71 employees with a strong engineering slant (15+ engineers). Leadership includes VP of Engineering, Director of Software Engineering, and ex-Meta, Stripe, Square talent. - **Perks & Growth**: Opportunity to work on cutting-edge AI/LLM applications in the world’s largest industry (finance). Roles range from applied AI to GTM and operations. ## Sources 1. [jobs.gem.com](https://jobs.gem.com/greenlite-ai) – Open positions and locations 2. [builtin.com](https://builtin.com/company/greenlite-ai) – Headcount, culture, office policy 3. [linkedin.com](https://www.linkedin.com/company/greenlite-ai) – Funding details, leadership, company aliases, employee growth 4. [ycombinator.com](https://www.ycombinator.com/launches/ItP-greenlite-ai-compliance-teams-for-fintechs) – Product description, founders, use cases 5. [getlatka.com](https://getlatka.com/companies/greenlite.ai) – Revenue estimate, valuation, employee count ## Other roles at Greenlite - [Marketing Lead](https://feeny.ai/job/marketing-lead-greenlite-san-francisco-77w329p282qm) — San Francisco, CA - [Partnerships Lead](https://feeny.ai/job/partnerships-lead-greenlite-san-francisco-p2x9x09t1drm) — San Francisco, CA - [Operations](https://feeny.ai/job/operations-greenlite-san-francisco-7g8bbs3cj5bz) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-greenlite-san-francisco-w3v1hhcbzy1m) — San Francisco, CA - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-greenlite-san-francisco-tkyrmv1cgsw2) — San Francisco, CA - [Senior/Staff Software Engineer, Backend](https://feeny.ai/job/senior-staff-software-engineer-backend-greenlite-san-francisco-6mbczwd4vvsc) — San Francisco, CA - [GTM](https://feeny.ai/job/gtm-greenlite-san-francisco-ajrq1n77qs8k) — San Francisco, CA - [Software Engineer, Applied AI](https://feeny.ai/job/software-engineer-applied-ai-mercor-new-york-29sf9gcj7j2s) — New York, NY - [Software Engineer, Applied AI](https://feeny.ai/job/software-engineer-applied-ai-fluidstack-san-francisco-027sc2j800an) — San Francisco, CA - [Software Engineer, Applied AI](https://feeny.ai/job/software-engineer-applied-ai-clay-labs-new-york-pa00r2bzbtqv) — New York, NY