Senior Agent Product Manager

Clera

$125K — $150K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in customer-facing technical roles for enterprise software or AI implementations.
  • Hands-on experience with APIs and system integrations in enterprise environments.
  • Proven success managing complex projects from scoping to delivery.
  • Proficient in using analytical tools and SQL/data warehouses (e.g., BigQuery).
  • Experience in pre-sales support, including POC design and technical due diligence.
  • Familiar with compliance, security, or risk governance in enterprise tech deployments.
  • Strong communicator with diverse stakeholder groups.

Responsibilities

  • Lead full implementation projects integrating AI platforms into customer operations.
  • Conduct discovery sessions to clarify customer goals and operational needs.
  • Advise customers on optimizing AI agent functions for unique challenges.
  • Continuously analyze performance data to enhance AI effectiveness and value.
  • Serve as the technical representative during pre-sales activities and POCs.
  • Act as the customer advocate within the company to influence product direction.
  • Develop implementation playbooks to ensure customer success over time.
  • Oversee project risk and ensure compliance with standards.

Benefits

  • Growth opportunities at a Series A AI platform company.
  • Work with innovative AI technology in the financial services sector.
  • Collaborate with cross-functional teams including engineering and sales.
  • Exposure to high-impact projects in a regulated industry.
Full Job Description
About the Role

This is a senior, customer-facing product role at a Series A AI platform company serving the financial services industry. You will own end-to-end delivery of AI agent implementations for enterprise customers, sitting at the intersection of product, engineering, and customer success. The work directly shapes how financial institutions automate complex customer operations at scale.
What You'll Do
  • Scope and lead end-to-end implementation projects that embed the AI platform deeply into customer operations.
  • Conduct deep-dive discovery sessions to define customer objectives, requirements, and operational context for each deployment.
  • Guide enterprise customers in configuring and optimizing AI agent capabilities to solve their unique operational challenges.
  • Analyze performance data continuously to track AI effectiveness and drive measurable improvements in resolution rates and customer value.
  • Serve as the primary technical interface during pre-sales, including running proof-of-concepts and managing technical due diligence.
  • Act as the voice of the customer internally, collaborating with AI, Engineering, and Sales teams to shape the product roadmap.
  • Build scalable onboarding and implementation playbooks that set customers up for long-term success.
  • Manage project risk and governance, ensuring deployments meet compliance, security, and responsible AI standards.
What We're Looking For
  • 5 or more 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 complex, multi-stakeholder technical projects from scoping through delivery.
  • Comfortable using analytical tools and SQL or data warehouses (such as BigQuery) to surface insights and guide decisions.
  • Experience supporting pre-sales cycles, including designing and running POCs and technical due diligence.
  • Experience managing compliance, security, or risk governance in regulated or enterprise technology deployments.
  • Strong communicator across technical teams, enterprise customers, and senior leadership.
  • Entrepreneurial mindset: thrives in ambiguity and creates structure where none exists.
  • Background in financial services, fintech, banking, or other regulated industries is a plus.
  • Familiarity with AI/ML product management, agent-based automation, or responsible AI governance frameworks is a plus.
Location

On-site in Los Angeles, CA. Visa sponsorship is not available for this role.

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