
Greenlite AI is the leading AI agent platform for financial services. Companies like Mercury, Gusto and multiple U.S. banks trust us to automate mission critical work, starting with anti-money laundering and counter-terrorism investigations.
We’ve raised over $20M 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.
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.
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
4+ yrs (Engineer) / 6+ yrs (Sr. Engineer) / 8+ yrs (Staff Engineer) building production software
Strong full-stack capabilities - backend services, APIs, databases, and (nice-to-have) frontend development
Track record of shipping customer-facing products where reliability matters
End-to-end ownership mindset: from requirements through deployment and iteration
Clear communication - you can explain technical decisions to diverse audiences
Product thinking - you understand why you're building something, not just how
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
Strong foundation in data modeling and distributed systems
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.
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, iterate based on real feedback
True ownership: Ship features that matter, influence product direction, own outcomes
High growth: Join during a phase where your contributions shape the company's future
$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.
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