Agent Product Manager
Owns end-to-end deployments of AI voice agents for mortgage lenders, partners with executives on AI roadmaps and compliance, translates customer needs to engineering, and drives adoption and retention. Ideal for technical PMs or solutions engineers with enterprise deployment experience.
About the job
What You’ll Do
- Own deployments end-to-end: scope requirements, customize agents, define success metrics, manage the roadmap, and drive customers from signed contract through full production adoption
- Serve as a strategic thought partner to C-suite and senior executives at major servicers and banks — shaping AI roadmaps, leading steering forums, and driving the decisions that determine how AI gets deployed across their operations
- Translate customer requirements into production-grade AI systems — working directly with engineering to build, test, and iterate on agents handling millions of customer interactions
- Monitor account health through usage telemetry, surface risk early, and execute retention and expansion plays before problems escalate
- Build durable executive relationships and lead high-stakes conversations around compliance risk, operational redesign, systems integration, and borrower experience transformation
- Partner with engineering to submit crisp, data-backed product feedback that translates customer friction into roadmap improvements
- Help define the playbooks, hiring bar, and operating standards that will scale the Agent Success function as Kastle grows
What You'll Bring
Strong candidates typically come from one of these backgrounds:
- Technical Product Managers or Solutions Engineers who have run complex, multi-stakeholder deployments at product-focused or infrastructure technology companies and want to operate at a higher level of strategic ownership
- Early-stage operators or former founders who have built from zero, thrive in ambiguity, and understand what it takes to earn trust with enterprise customers
- Engagement Managers or Senior Consultants from MBB consulting firms who have led enterprise transformation programs and are ready to own outcomes rather than advise on them
Great to Have
- Familiar with Agentic AI tool deployments in large organizations
- Working knowledge of Customer Support processes, systems, and best practices
- Experience in a high-growth startup environment
- Bachelor's degree in Science, Technology, Engineering, Math or similar fields
Skills
AI, Agentic AI, Product Management, Customer Success, Ai Roadmaps, Usage Telemetry, Systems Integration, Technical Product Management, Solutions Engineering, Customer Support
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