Software Engineer, Forward Deployed

Greenlite AI•San Francisco, CA

47d•$168,000 - $213,000

About The Position

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. 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.

Requirements

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

Nice To Haves

Experience in fintech, compliance, or AI-driven data systems

Responsibilities

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.