Product Manager

Farsight AI is the agentic AI platform for financial services, helping investment banks and private equity firms fully automate entire, highly nuanced workflows. The institutions we work with spend 80% of their time gathering information and creating first drafts of materials by hand. We give them that time back, while also surfacing insights their teams would not be able to uncover on their own.

We work with immense amounts of both public and private data, delivering highly accurate and auditable materials in an arena far too nuanced for large-scale AI out of the box. Our mission is to upend the way financial services work gets done, integrating AI into the financial needlework of every company on Earth.

We are a small, highly motivated team driven by creating technology that amazes. Our backgrounds span financial domain expertise from Evercore and General Atlantic, scalable engineering from Amazon, enterprise AI sales from Hugging Face, and firsthand experience building successful startups as founders and founding engineers. We focus on hiring the best so that we can become the best.

We are based in Manhattan, New York City, and are in-person 4 days a week (with Fridays being remote).

This is Farsight's first dedicated Product Manager hire, reporting directly to the CTO. It is a high-ownership, high-visibility role that sits at the center of our product, engineering, and customer teams. You will be responsible for translating the needs of users in the financial services space into a clear product vision, and working directly with our engineering team to bring that vision to life quickly and with precision.

You will own the product roadmap, drive prioritization decisions, and be the connective tissue between what our customers are asking for, interacting with our Strategy & Ops teams (with many ex-bankers), and what our engineers are building. Given the complexity of our agentic workflows and the nuance of our financial services customers, this role will suit someone who is both deeply curious about AI and fluent in the language of investment banking and private equity.

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  Own the product roadmap and drive prioritization across engineering, design, and GTM

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  Work directly with Investment Banking and Private Equity customers to deeply understand their workflows, pain points, and feedback, and translate those into clear product requirements

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  Partner closely with engineering to scope, spec, and ship features that meet our standard of clean, accurate, and auditable AI outputs

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  Define and track the right metrics to measure product success in a non-deterministic AI system

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  Identify opportunities for new product innovation across Farsight's expanding platform

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  Serve as the internal voice of the customer, ensuring every product decision is grounded in real workflow impact

• 6+ years of product management experience, with at least 2 years in a senior or lead PM role at a startup or high-growth tech company

• Deep familiarity with investment banking or private equity workflows, either from direct experience in finance or from building products used by IB and PE teams

• Strong technical fluency. You do not need to write code, but you need to understand how AI systems work, what makes them reliable, and where they break

• A proven track record of shipping products in ambiguous, fast-moving environments where you took full ownership from problem to launch

• Previous experience as a founder or first PM at an AI-native startup

• Hands-on experience with LLMs, agentic systems, or AI workflow products

• Background in financial services, including investment banking, private equity, or fintech

• Experience working directly with enterprise customers and incorporating their feedback into product decisions

Farsight is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law.