About this role
This role suits an experienced product leader with a strong background in B2B SaaS and fintech who thrives in ambiguous environments and enjoys direct customer engagement. The Staff Product Manager, AI Agents position is based remotely in the United States at Clutch, where the candidate will own the end-to-end lifecycle of AI agents for credit unions.
Role Overview
Clutch is seeking a Staff Product Manager to join a small, senior AI product group operating like a seed-stage startup. This position focuses on driving discovery, prototyping, and production implementations of AI agents for credit unions across collections, origination, fraud, engagement, and activation. The next year involves hands-on experimentation, extensive customer discovery, and close collaboration with dedicated AI engineers and commercial counterparts.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Clutch is a vertical SaaS company backed by Andreessen Horowitz that builds software to transform credit unions into fintech lenders. The company aims to help credit unions leverage their balance sheets to offer affordable lending solutions and seamless digital experiences to members.
How to Apply
To apply for this position, please visit the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Staff Product Manager, AI Agents role located?
The role offers remote flexibility within the United States, though it requires approximately 20% travel with occasional stretches up to 50% for on-site customer visits.
How many years of experience are required for this position?
Candidates must have 7+ years of product management experience in a fast-paced environment, preferably in B2B SaaS, fintech, or via a founding background.
What travel expectations come with this job?
Expect roughly 20% travel on average, with stretches of up to 50% during critical windows for on-site customer meetings and launches.
What benefits and perks are provided?
Benefits include remote work flexibility, stock options, comprehensive health and dental insurance, flexible paid time off, home office setup budget, work trip and co-working budget, and biannual off-sites.
Is deep AI research experience required?
Deep AI research experience is welcome but not required. However, candidates must be AI-forward, having built and demonstrated something with AI themselves.