Greenlite

AI agents for financial compliance

Software Engineer, Forward Deployed Product

$160 - $280San Francisco, CA
Job type
Full-time
Role
Engineering, Full stack
Experience
3+ years
Visa
US citizen/visa only
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About the role

About Greenlite AI

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.

The Role

We’re hiring Forward Deployed Engineers (FDEs) who thrive at the intersection of software engineering, customer impact, and problem-solving.

As an FDE, you’ll own the technical success of our largest enterprise accounts, deploying Greenlite’s platform, integrating with customer systems, debugging production issues, and building reusable solutions that shape our core product.

This is not a sales engineering role. You’ll write production-grade code, solve real integration problems, and act as the trusted technical partner for fintech teams at billion-dollar companies.

You’ll be successful if:

  • Customers say “I trust [your name] to fix anything.”
  • You turn customer frustration into loyalty through fast, empathetic problem-solving.
  • You translate messy requirements into clean, reusable product features and can build 0 to 1 features fast.

What You’ll Do

  • Build custom integrations with customer systems (APIs, webhooks, data pipelines).
  • Design and deploy architectures for high-volume environments
  • Triage and debug production issues across customer deployments.
  • Implement customer-specific extensions that don’t yet belong in the core platform. Communicate with customers directly.
  • Be the customer’s voice inside Engineering and Product. Identify patterns and push for upstream improvements.

What We’re Looking For

Must-Haves:

  • 4+ yrs (Engineer) / 6+ yrs (Sr. Engineer) / 8+ yrs (Staff Engineer) of production engineering experience
  • Strong fundamentals: APIs, distributed systems, data modeling
  • Hands-on experience with ETL/ELT, SQL, and cloud infrastructure
  • Excellent debugging skills and a systematic approach to problem-solving
  • Strong written and verbal communication — comfortable with both engineers and compliance teams
  • Ownership mindset and comfort working directly with customers

Technical Skills:

  • Languages: TypeScript/Node.js (primary), Python (nice to have)
  • Infrastructure: REST APIs, PostgreSQL/Supabase, workflow engines (Temporal/Airflow/Prefect)
  • DevOps: Git, Docker, monitoring (Datadog), CI/CD tools
  • Bonus: Experience in fintech, compliance, or AI-driven data systems

Why You’ll Love Working Here

  • High impact: Your code directly enables financial institutions to prevent financial crime.
  • Customer proximity: You’ll see your engineering work used in production within weeks.
  • Technical breadth: You’ll touch everything from APIs and data pipelines to LLM-driven automation.
  • Startup ownership: Small, senior team where you shape how we deliver and scale.
  • Reusable innovation: Your delivery code becomes part of our platform foundation.

About you

You're motivated by joining a startup at our stage because you want to build something fast and have direct impact—not because you need extensive structure. You're energized by combining technical work with customer interaction. You love solving open-ended problems, asking good questions, and structuring solutions without needing perfect specifications upfront.

You make pragmatic decisions with incomplete information and proactively pull in the right people to overcome blockers. You're adaptable when priorities shift and have a growth mindset. You understand the broader system you're working in—not just what the AI does, but how it fits into the customer's full workflow.

Compensation & Benefits

  • $160k–$280K 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 Greenlite

We work in-person at our San Francisco office five days a week, believing the best ideas and fastest learning happen through side-by-side collaboration. We challenge each other daily and build innovative products together.

Greenlite builds AI agents that help financial services companies manage risk and compliance and fight financial crime. We serve major clients like Ramp, Mercury, and other major U.S. financial institutions, helping them grow while maintaining financial system integrity. Backed by Greylock, Y Combinator, and Thomson Reuters, we're among the fastest-growing AI companies globally.

We value people who:

Take action quickly, learning by doing rather than seeking perfection

Think boldly to reimagine financial services

Deeply understand customer needs to build elegant solutions

Show potential and continuous growth, not just experience

We've brought together exceptional builders from Palantir, SpaceX, Stripe, Airbnb, Meta, Uber, and Databricks to tackle financial system challenges. Our AI agents fight financial crime by automating suspicious activity investigations, entity due diligence, and regulatory reporting, helping banks and fintechs protect the integrity of the global financial system.

Our team combines technical excellence with practical problem-solving, low-ego collaboration, relentless curiosity, and autonomous work. We're seeking diverse perspectives that elevate our collective capabilities. Greenlite is an equal opportunity employer welcoming applicants from all backgrounds.

Greenlite
Founded:2023
Batch:S23
Team Size:34
Status:
Active
Location:San Francisco
Founders
Will Lawrence
Will Lawrence
Founder