Jobs at Farsight AI

Design and own agentic systems that produce client-ready financial deliverables end-to-end. Build retrieval, evaluation, and verification systems; transform proprietary data into evidence-backed insight; and advance orchestration, function-calling, and reliability for LLM-powered pipelines.

Own Farsight’s revenue strategy and results, build and lead the sales organization, and close strategic enterprise deals with investment banks and private equity firms. Define the sales motion, playbook, pricing, and packaging; develop senior customer relationships; partner with product, engineering, strategy, and customer success; and represent the company at industry events. This founding leadership role requires scaling sales operations at a Series A AI startup from early traction to hundreds of customers.

The Product Manager will develop a product vision for financial AI solutions, oversee the product roadmap, drive collaboration between engineering and customer teams, and ensure products meet user needs while being accurate and auditable.

Join a collaborative team as a Senior Software Engineer at Farsight, developing AI-driven applications for financial services, ensuring quality and enhancing product offerings.

Design and implement technical systems for Farsight's AI platform. Collaborate with teams to develop efficient software based on customer feedback and business needs.

As a Senior Frontend Engineer, you will design and build user interfaces for Farsight AI's products, focusing on creating seamless experiences in financial services. You'll work on both long-term projects and rapid iterations based on customer feedback, ensuring high-quality code and design standards.

Serve as primary point of contact for a book of investment bank and private equity clients: onboard and drive platform adoption, understand workflows, manage renewals and account health, identify and close expansion opportunities, and build strategic relationships to ensure customer success. Role is high-ownership and client-facing, based in Manhattan with in-person work four days per week.

Lead and operate the end-to-end application lifecycle management process, translating product priorities into scoped, sequenced projects across engineering, AI, and infrastructure teams. Build timelines from engineer estimates, run sprint ceremonies, surface and resolve blockers, manage hard customer deadlines, and drive prioritization with Product and GTM to ensure timely, enterprise-ready delivery.