Senior Agent Product Manager

Clera

$120K — $145K *
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 for enterprise environments.
  • Proven track record of managing complex, multi-stakeholder technical projects end-to-end.
  • Ability to conduct deep-dive discovery for complex business and technical requirements.
  • Proficient with analytical tools like SQL or data warehouses for performance analysis.
  • Experience in managing compliance and risk governance in technology deployments.
  • Excellent communication skills across technical and non-technical audiences.
  • Entrepreneurial mindset, comfortable navigating ambiguity.

Responsibilities

  • Scope and lead implementation projects integrating the AI platform into customer operations.
  • Own the full delivery lifecycle from discovery to go-live and improvement.
  • Conduct deep discovery to define customer objectives and technical requirements.
  • Guide customers in optimizing AI capabilities to meet operational challenges.
  • Analyze performance data to drive iterations and ensure business value.
  • Serve as a technical interface during pre-sales, supporting POCs and due diligence.
  • Collaborate with internal teams, representing the voice of the customer in product development.
  • Build scalable onboarding processes for customer success.

Benefits

  • Opportunity to work in a rapidly expanding AI market.
  • Join a well-funded, Series A startup with significant growth potential.
Full Job Description
About the Role

As a Senior Agent Product Manager, you'll be the critical bridge between our customers and our product. You'll lead end-to-end implementations, serve as the primary technical partner during pre-sales and deployment, and act as the voice of the customer internally to shape our product roadmap. This is a hands-on, forward-deployed role for someone who thrives at the intersection of enterprise technology, AI, and customer outcomes.
What You'll Do
  • Scope and lead end-to-end implementation projects that deeply embed our AI platform into enterprise customer operations, driving measurable strategic outcomes.
  • Own the full delivery lifecycle - from discovery and scoping through integration, go-live, and continuous improvement.
  • Conduct deep-dive discovery to define customer objectives, technical requirements, and the operational landscape for successful solution 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 iteration, and ensure customers realize tangible business value.
  • Serve as the primary technical interface during pre-sales - supporting POCs, due diligence, and managing handoffs to implementation.
  • Collaborate closely with internal AI, Engineering, and Sales teams as the "voice of the customer," influencing 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 customer environments.
  • Demonstrated track record of owning and delivering complex, multi-stakeholder technical projects end-to-end - from scoping through implementation.
  • Experience conducting deep-dive discovery and gathering complex business and technical requirements from enterprise customers.
  • Proficiency with analytical tools, SQL, or data warehouses (e.g., BigQuery) to analyze operational/product performance and guide decisions.
  • Experience supporting pre-sales cycles, including designing and running proof-of-concepts (POCs) and technical due diligence.
  • Experience managing compliance, security, or risk governance requirements in regulated or enterprise technology deployments.
  • Clear, confident communicator across all audiences - technical teams, senior customer leadership, and internal stakeholders.
  • Entrepreneurial mindset: comfortable with ambiguity, proactively creating structure and driving clarity where none exists.

Nice-to-haves:
  • Experience in financial services, banking, fintech, or other regulated industries.
  • Background in AI/ML product management, agent-based automation, or intelligent workflow design.
  • Experience designing and implementing scalable customer onboarding or implementation playbooks.
  • Familiarity with responsible AI, AI governance frameworks, or ethical AI deployment standards (e.g., FCA Consumer Duty, EU AI Act).
Location

This is an on-site role based in Los Angeles, CA. Candidates must be willing to work from our Los Angeles office. Visa sponsorship is not available for this position.
Compensation & Benefits

Compensation details were not provided for this role. This is a full-time position at a well-funded, Series A startup with significant growth opportunity in a rapidly expanding AI market.

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