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Kastle AI

AI agents handling lending operations

Head of Deployments

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

About the Job

Requirements

  • At least 8 years in technical, customer-facing roles, including at least 4 years leading deployment, solutions engineering, professional services, or implementation teams.
  • A track record of building a team or service line from an early stage and scaling it through rapid growth.
  • Hands-on experience deploying enterprise software in regulated environments, ideally banks, lenders, mortgage servicers, or other financial institutions.
  • Technical depth in application programming interfaces, system integrations, data pipelines, and the software development life cycle sufficient to unblock engineers and earn trust from customer IT teams.
  • Working knowledge of large language models, artificial intelligence agents, or conversational artificial intelligence, and sound judgment about production use cases and limitations.
  • Commercial instincts, including experience scoping and pricing services work and supporting complex enterprise sales cycles.
  • Ability to run discussions with bank chief operating officers and troubleshoot integrations with engineers.

Responsibilities

  • Build and scale the deployments organization by hiring, developing, and retaining forward deployed engineers, deployment project managers, and lending process specialists; set the hiring bar and team structure as deployment volume grows.
  • Own end-to-end delivery for every customer and be accountable for time-to-live, quality, and adoption at each bank, credit union, lender, and servicer; run kickoffs, scoping, integration, user acceptance testing, and go-live, and personally support the most challenging accounts.
  • Make deployments repeatable by turning one-off rollouts into playbooks, reusable integration patterns for servicing cores, loan origination systems, dialers, and customer relationship management systems, and tools that reduce deployment time.
  • Partner with customer risk, compliance, and information security teams on vendor reviews, model risk management, and consumer protection rules, including the Telephone Consumer Protection Act, Fair Debt Collection Practices Act/Regulation F, and Unfair, Deceptive, or Abusive Acts or Practices, to launch agents safely and audit-ready.
  • Translate field learnings into clear product requirements and work with Engineering and Product to decide what becomes platform functionality versus custom work.
  • Partner with Sales and Customer Success by joining late-stage deals to scope solutions, defining handoffs from sale to deployment to ongoing success, and helping expand accounts after launch.
  • Define engagement models and deployment pricing, plan capacity for a scarce team, track deployment metrics, and report customer outcomes to leadership and in customer quarterly business reviews.

Desired Qualifications

  • Domain knowledge of consumer lending operations, including servicing, collections, loss mitigation, or originations.
  • Experience with servicing and lending systems such as ICE MSP, Black Knight, Encompass, or similar core systems.
  • Background with voice or contact-center technology.
  • Prior early-stage startup experience.

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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