Senior Agent Product Manager

About the Role

We're a fast-growing, Series A-backed AI platform company focused on automating complex customer operations for financial services institutions — think lending, disputes, KYC, collections, insurance claims, and more. Our specialist AI agents handle end-to-end workflows compliantly and at scale, and we're trusted by leading names in banking and fintech.

As a Senior Agent Product Manager, you'll sit at the intersection of product, engineering, and customer success — owning the full lifecycle of enterprise AI deployments from pre-sales through live implementation. You'll be the primary technical and strategic partner for our enterprise customers, ensuring they achieve real, measurable outcomes with our platform. This is a high-impact, forward-deployed role on a small, sharp team solving genuinely hard problems in AI-powered operations.

This is an on-site role based in Los Angeles, CA. Visa sponsorship is not available.

What You'll Do

• Scope and lead end-to-end implementation projects that deeply embed our AI platform into customer operations, driving strategic outcomes.

• Own delivery and integration of our platform into enterprise customer environments, ensuring high-quality outcomes throughout.

• Conduct deep-dive discovery to define customer objectives, technical requirements, and the operational landscape for each deployment.

• Guide customers in tailoring and optimizing AI agent capabilities to solve unique operational challenges and maximize end-user resolution rates.

• Proactively analyze performance data to track AI effectiveness, drive continuous improvement, and ensure customers realize measurable value.

• Serve as the primary technical interface for customers during pre-sales — assisting with proof-of-concepts (POCs), technical due diligence, and managing the transition to full implementation.

• Collaborate closely with internal AI, Engineering, and Sales teams as the "voice of the customer" to shape the product roadmap.

• Build scalable, high-quality onboarding and implementation processes that set all customers up for long-term success.

• Manage project risks and governance related to AI deployment, ensuring solutions meet compliance, security, and responsible AI standards.

What We're Looking For

Must-haves:

• 5+ years in forward-deployed, customer-facing technical roles delivering enterprise software or AI platform implementations.

• Hands-on experience with APIs, system integrations, and technical solution design in enterprise environments.

• Proven track record of owning and delivering complex, multi-stakeholder technical projects end-to-end — from scoping through go-live.

• Experience conducting deep-dive discovery and gathering complex business and technical requirements from enterprise customers.

• Comfortable using analytical tools and SQL or data warehouses (e.g., BigQuery) to analyze performance metrics and guide decisions.

• Experience supporting pre-sales cycles, including designing and running POCs and technical due diligence.

• Experience managing compliance, security, or risk governance requirements in regulated or enterprise technology deployments.

• Strong communicator across all audiences — from engineering teams to senior executive stakeholders.

• Thrives in ambiguity; proactively creates structure and drives clarity where none exists.

• Entrepreneurial mindset with a pragmatic, outcome-oriented approach to problem-solving.

Nice to haves:

• Background in financial services, banking, fintech, or other regulated industries.

• Experience with AI/ML product management, agent-based automation, or intelligent workflow design.

• Experience designing and scaling customer onboarding or implementation playbooks.

• Familiarity with responsible AI, AI governance frameworks, or ethical AI deployment standards.

Compensation & Benefits

Compensation details are not listed for this role. This is a full-time, on-site position with a competitive package commensurate with experience at a well-funded, high-growth AI startup.

Location

This role is based on-site in Los Angeles, CA. Candidates must be authorized to work in the United States — visa sponsorship is not available.