The role, as published
About the Company
Our client is an AI-native B2B fintech company modernizing the mortgage loan process. Its platform uses intelligent document management, workflow automation and configurable business rules to help lenders operate more efficiently. Founded in 2020, the company has roughly 80 employees, has raised $44M and powers more than $85 billion in home loans. The team is remote-first across the United States and is more than doubling its engineering organization this year.
About the Role
Own a product area end to end, embedded with a strong engineering team and in constant contact with customers. This is a hands-on individual contributor role with real decision rights, not a backlog management job, in a market worth roughly $2 trillion.
What You Will Do
Own a product pod from customer discovery with lenders and operations teams through roadmap, delivery and post-launch iteration.
Bridge engineering, design and the business, turning customer needs into clear specs and architecture decisions.
Prototype and validate ideas with AI coding tools so engineers get concrete starting points.
Define success metrics for every initiative and keep iterating until outcomes are achieved.
Partner with Sales and Customer Success on positioning and deal cycles for your product area.
What We Are Looking For
Five to ten years of product management or closely related experience, such as forward-deployed engineering, as an individual contributor.
B2B SaaS experience at a startup or growth-stage company, shipping in fast-moving, resource-constrained environments.
Demonstrated zero-to-one ownership. Ex-founders are strongly preferred.
Technical fluency to prototype with AI coding tools, read a codebase and contribute to architecture discussions.
Experience working with and building third-party integrations.
Specs and async documents that engineers actually read.
Bonus Points
Experience in a regulated industry such as mortgage, lending, insurtech or healthcare.
A software engineering or forward-deployed engineering background.
Working knowledge of LLM concepts and experience shipping AI-powered features.
Location and Work Model
Remote within the United States. You must be US-based and authorized to work without visa sponsorship. Expect roughly one domestic trip a month to customer sites.
Compensation, as the posting describes it
$170,000-$250,000 base salary plus competitive equity, higher for exceptional candidates.