Software Engineer, Forward Deployed

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 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.

• 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.
  

• 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

• 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

• 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.

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.

• $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.