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Kastle AI

AI agents handling lending operations

Forward Deployed Product Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Have owned complex, high-stakes engagements and be prepared to move from strategy advice to execution accountability.
  • Engagement Manager or Senior Consultant background at an MBB consulting firm with experience leading enterprise transformation programs, or experience as a founder or startup operator building from zero and earning trust with enterprise customers, or experience as a Technical Product Manager running complex, multi-stakeholder deployments at product-focused or infrastructure technology companies.
  • Bachelor's degree in Science, Technology, Engineering, Math, or similar fields is preferred.

Responsibilities

  • Own deployments end-to-end by scoping requirements, customizing agents, defining success metrics, managing the roadmap, and driving customers from signed contract through full production adoption.
  • Serve as a strategic thought partner to C-suite and senior executives at major financial institutions and banks by shaping AI roadmaps, leading steering forums, and driving decisions about AI deployment across their operations.
  • Translate customer requirements into production-grade AI systems by 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 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.

Desired Qualifications

  • Familiarity with agentic AI deployments in large organizations.
  • Experience in a high-growth startup environment.

About the Company

Kastle AI

AI agents handling lending operations

Kastle AI builds an AI workforce for financial services, starting with consumer lending and mortgage servicing. Its product comprises specialized voice and SMS agents that perform high-volume tasks across lenders’ existing core systems—such as collections, payment inquiries, borrower qualification, and servicing—without requiring a multi-year core replacement. The agents are trained to handle FDCPA, TILA, RESPA, and TCPA compliance, and have processed roughly $1.8–2 billion in transactions for large banks and enterprises. The company differentiates itself by integrating directly with lenders’ existing infrastructure rather than rebuilding cores, focusing on compliance-ready automation for financial workflows, and scaling through a software-enabled human-in-the-loop style AI workforce. Kastle’s goal is to expand engineering, product, and go-to-market efforts to broaden the adoption of AI-powered operations in financial services.

Company size
11-50
Company stage
Series A
Total funding
$24.1M
Headquarters
San Francisco, CA
Founded
2024

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