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 with enterprise software or AI implementations.
  • Hands-on experience using APIs and system integrations in enterprise environments.
  • Proven ability to lead complex, multi-stakeholder projects from inception to delivery.
  • Expertise in conducting detailed technical and business requirements discovery.
  • Proficient in analytical tools, SQL, or data warehouse solutions like BigQuery.
  • Experience in pre-sales support including POCs and due diligence tasks.
  • Familiar with compliance and security standards in enterprise tech, especially financial services.

Responsibilities

  • Lead implementation projects to integrate AI platforms into customer operations and achieve strategic goals.
  • Conduct in-depth discovery sessions with customers to clarify objectives and requirements for deployment.
  • Advise customers on customizing AI capabilities to address specific operational challenges.
  • Analyze performance data to assess AI effectiveness and drive continual improvement for customer value.
  • Act as the main technical contact during pre-sales to support POCs and manage transitions to implementation.
  • Collaborate with internal teams to advocate for customer needs and influence product development.
  • Develop onboarding and implementation processes that ensure customer success and long-term satisfaction.
  • Manage risks and governance around AI deployment, ensuring compliance and ethical standards are met.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to impact financial services through AI technology.
  • Professional development and growth opportunities.
  • Engagement with cutting-edge AI and enterprise technology solutions.
  • Ability to shape the future of automated customer operations in finance.
Full Job Description
About the Role

This is a senior, customer-facing product role at the intersection of enterprise AI deployment and financial services operations. You'll own the end-to-end delivery of an AI agent platform into complex customer environments, acting as the strategic and technical bridge between the product and the enterprise clients who depend on it. The work directly shapes how financial institutions automate customer operations at scale.
What You'll Do
  • Scope and lead end-to-end implementation projects that deeply embed the AI platform into customer operations and drive strategic outcomes.
  • Conduct deep-dive discovery with enterprise customers to define objectives, requirements, and the operational landscape for successful deployments.
  • Guide customers in tailoring and optimizing AI agent capabilities to solve unique operational challenges and maximize 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 during pre-sales, supporting POCs, due diligence, and managing the transition to implementation.
  • Collaborate with internal AI, Engineering, and Sales teams as the voice of the customer to influence 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
  • 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 customer environments.
  • Proven track record of owning complex, multi-stakeholder technical projects end-to-end - from scoping through to delivery.
  • Experience conducting deep technical and business requirements discovery with enterprise customers.
  • Comfortable using analytical tools, SQL, or data warehouses (e.g., BigQuery) to surface insights and guide decisions.
  • Experience supporting pre-sales cycles, including designing and running proof-of-concepts and technical due diligence.
  • Familiarity with compliance, security, or risk governance requirements in regulated or enterprise technology environments.
  • Background in financial services, banking, or fintech is a strong plus.
  • Experience with AI/ML product management, agent-based automation, or intelligent workflow design is advantageous.
  • Familiarity with responsible AI frameworks or ethical AI deployment standards is a plus.
Location

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

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