Agent Product Manager
At Variance, we're teaching machines to make the hardest judgement calls at scale. That means building AI agents for the high-precision gray-area of risk investigations, fraud, and identity reviews. Your work will directly help enterprises spend less time on repetitive manual reviews and investigations, allowing them to focus on serving their customers, improving their products, and growing their business. We’re rapidly growing, just raised a $21M Series A, and are building a team that works directly with leaders from leading marketplaces, gig platforms, fintechs, and financial institutions.
Why this role
In this role, you’ll own the strategy and execution for deploying Variance across enterprises operating in complex, high-consequence environments. You'll partner closely with customer teams to deeply understand their workflows and goals, own the successful deployment of AI agents within their organization, and manage the relationship. When we get it right, pilots convert because the system demonstrably works on the customer's real data and edge cases, and customers come to see Variance as a strategic partner.
We’re seeking someone with the executive presence of a strategy consultant, the instincts of a product builder, and the ownership of a founder. This is a foundational hire for this position and you’ll have the opportunity to build and shape the future of this function.
This is an in-person position. Our office is located in San Francisco, CA.
What you'll do
Build AI agents for risk and compliance. You’ll operate at the intersection of product, customer engagement, and deployment, partnering directly with our engineers and customers to ship agents that make decisions inside fraud and risk workflows.
Understand the work before you build. Customers arrive with pain points, and your job is to turn those into requirements precise enough to build against. You'll learn how their teams make decisions today: what they escalate, where they get stuck, and what they can't afford to get wrong.
Own the customer relationship and outcome. You'll be the strategic and technical owner of your accounts and the trusted advisor your customer calls to identify where our agents can make an impact next. You'll define what "success" means for each deployment and stay accountable for it through production and the life of the account.
Grow the account. You'll be the only person who knows both the customer's roadmap and what's possible for us to build. A first contract becomes a multi-year expansion because of you.
Shape the roadmap long-term. The patterns you see across accounts drive what Variance builds. What one customer needs today may define the roadmap for every customer in that industry.
Example projects
Translate a customer's investigation SOP into agent decision logic and refine it as production edge cases surface
Map customer due diligence obligations across jurisdictions into a set of agent requirements
Design the human escalation path for decisions the agent won't make on its own
What you'll bring
5+ years in customer-facing technical roles as an implementation or solutions consultant, product manager, or founder
Experience shipping a 0 → 1 product and iterating on quality against real customer data
Bonus if you've automated a human review or investigation workflow, or understand compliance requirements (e.g., KYC/KYB, BSA/AML, sanctions screening)
What we offer
Health care: platinum-level medical, dental, and vision insurance
Unlimited PTO, sick leave, and parental leave
Up to $100 per month in reimbursement for personal health and wellness expenses
Up to $200 per month in commuter benefits
Free lunch and dinner
401(k) plan with employer match (eligible after 6 months)
Meaningful equity in a fast-growing, Series A company
We evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We encourage you to apply even if your experience doesn't precisely match the job description.