Senior Product Manager
Senior Product Manager at interface.ai, an agentic AI platform for banks and credit unions, owning outcomes and roadmap for a defined subdomain end-to-end while partnering closely with engineers. Onsite in San Francisco, using AI daily to prototype and accelerate work on AI-first banking products.
- Compensation
- $180K–$215K / yr
- Location
- San Francisco
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Product
- Posted
Skills
Must have
- 3–5 years in product management, including owning outcomes (not just execution) for at least one product area
- Comfortable with moderate ambiguity — fill in the real plan within leadership-set direction
- Technical enough to engage directly with engineers on tradeoffs, not just requirements
- First-principles problem solving and comfort with startup pace building process from scratch
- AI-native workflow — daily, hands-on use of AI, not just prompting
- San Francisco-based and committed to working onsite
Nice to have
- Financial services, fintech, or regulated-industry experience
- Conversational AI, voice, or agentic systems experience
- Experience mentoring a junior PM
- Shipped something 0→1 within a larger organization
Full description
About
is the agentic AI platform for financial services — bringing conversational and agentic AI to the credit unions and community banks that serve everyday Americans. We're not a lab, we're not a demo company, and we're not burning runway on hypotheticals. We are in production, generating real revenue, and on a mission that matters: making intelligent financial services available to the millions of people who've never had a private banker.
More than 100 banks and credit unions run on , reaching over 10 million people. Many products are live today; the biggest bets — an AI-first contact center and an AI-native consumer banking experience — are what comes next. Backed by $30M in Series A funding and already cash-flow positive, we're at the inflection point: a proven product, paying customers, and a profitable business rebuilding itself as an AI-native company to lead a world where agents, not software, do the work.
The Role
As a Senior Product Manager, you own a welldefined subdomain or initiative endtoend — not a full domain, but real outcomes within one, under real (if bounded) ambiguity. You partner with a senior engineer as a nearpeer, shape the sequencing of your own roadmap within the direction set by domain leadership, and mentor the PMs executing alongside you. This is the seat for someone ready to move past pure execution into real ownership, without yet carrying an entire domain's strategy.
What You'll Own
- Outcomes for a defined subdomain or initiative — not just what ships, but whether it worked
- A roadmap for your area, sequenced and defended within the direction domain leadership has set
- Real technical engagement — debating tradeoffs with your engineering partner, not just handing over prioritized tickets
- Mentorship for PMs working within your area
- An AInative way of working — using AI daily to prototype, analyze, and accelerate real work
What We're Looking For
- 3–5 years in product management, including owning outcomes (not just execution) for at least one product area
- Comfortable with moderate ambiguity — the domain's direction is set by leadership, but you fill in the real plan for your piece of it
- Technical enough to engage directly with engineers on tradeoffs, not just requirements
- Firstprinciples problemsolving and comfort with the pace of a startup building process where none exists
- AInative workflow — daily, handson, not just prompting
- San Franciscobased and committed to working onsite. H1B transfers welcome.
Who Tends To Thrive Here
The strongest profiles have already shipped something real and owned the outcome, not just the delivery, they've had to defend a plan to an engineer who pushed back, or to a manager under pressure for a visible win, and held their ground on what was actually right. You don't need to have run a full domain. You do need to show you can take a real, partlyconflicting set of inputs and turn it into a plan you'd actually stand behind.