Founding Solutions Engineer

Greenlite is an innovative AI company building intelligent agents for financial crime teams, backed by Greylock and already serving large banks and public companies. The company specializes in automating workflows like suspicious activity investigations, entity due diligence, and regulatory reporting.

As a Founding Solutions Engineer, you'll play a crucial role in bridging the gap between Greenlite's AI capabilities and customer needs in highly regulated banking environments. This position combines deep technical expertise with strategic thinking to ensure AI deployments deliver value while meeting regulatory requirements.

The role involves creating technical demonstrations, implementing proof-of-concept deployments, and working directly with financial institutions. You'll collaborate with the engineering team to influence the product roadmap based on customer insights and build reusable technical assets.

Key responsibilities include delivering compelling technical demonstrations to various audiences, designing implementations that meet strict banking security requirements, and guiding customers through successful deployments. The ideal candidate brings 3+ years of experience in technical pre-sales or solutions architecture, strong technical background, and experience with AI/ML technologies.

Greenlite offers an exciting opportunity to join a fast-growing startup tackling the $2 trillion money laundering problem. The company provides competitive compensation, including significant equity ownership, comprehensive health benefits, and flexible work policies. You'll be a founding member of the Solutions Engineering team, working at the intersection of cutting-edge AI technology and critical financial infrastructure.

The interview process includes meetings with both founders - Will (CEO) and Alex (CTO), along with technical interviews focusing on complex customer deployment scenarios. This is an excellent opportunity for someone passionate about using AI to solve significant financial crime challenges while helping shape the future of AI in financial services.