AI Deployment Lead

Prodigal is building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, the company aims to eradicate inefficiencies and confusion in the lending and collections industry. Backed by Y Combinator, Accel, and Menlo Ventures, Prodigal develops Agentic AI applications for consumer finance powered by its platform, Prodigal’s Intelligence Engine (PIE). The company has processed over half a billion consumer finance interactions and serves more than 100 leading companies across North America. Prodigal focuses on transforming how consumer finance companies engage with customers to drive successful outcomes.

Role Description

The AI Deployment Lead is a critical role responsible for taking an AI agent from a signed contract to a live, performing system and continuously improving it. The role involves deep customer understanding, technical knowledge, and operational rigor. The lead works directly with North American customers such as debt collection agencies, lenders, and loan servicers to understand their business operations and translate these into precise requirements for AI agent deployment. This role is hands-on in designing agent behavior, validating performance, and ensuring production readiness.

Responsibilities

Customer Discovery and Scoping

Understand each customer's business and call workflows.
Map the customer's tech stack including telephony dialer, payment processors, portals, CRMs, and APIs.
Design call flow diagrams and interaction maps translating workflows into agent behaviors.
Translate complex requirements into clear scopes for engineering.

Deployment and Phased Delivery

Manage end-to-end delivery across multiple deployment phases.
Handle 4 to 6 concurrent deployments with strong governance and clear milestones.
Lead all customer-facing calls from kickoff through go-live.

Agent Validation and Performance

Design scenarios covering happy paths, edge cases, adversarial situations.
Conduct test calls with Agent Engineers to evaluate performance.
Manage feedback loop: testing, identifying gaps, briefing engineers, retesting.

Post-Go-Live Ownership

Track agent KPIs post-launch; manage bugs and drive continuous improvement.
Lead phased expansion with new capabilities requiring new deployments.
Serve as primary escalation point until stable handoff.

Stakeholder Management

Navigate multi-stakeholder environments including CXOs, Operations, Compliance, IT, Tech teams.
Be responsive and proactive in customer commitments.
Collaborate internally across functions to unblock delivery.

Qualifications / Who You Are

2+ years experience in B2B SaaS, consulting, digital transformation or technical deployments/implementations.
Experience with voice AI agents, conversational AI or automation systems is a strong plus.
Familiarity with US consumer finance or debt collections industry is a plus but not required.
Understanding of APIs; ability to read integration specs; credible technical conversation skills without being an engineer.
Proactive problem anticipation skills.
Strong communication skills; comfortable presenting to CXOs and managing escalations with engineers.
Ability to thrive in ambiguity; high ownership with low hand-holding.
Experience working with or for North American customers preferred.
Reports to Head of Customer Success and Deployments; part of a growing deployment team.

Skills / Other Relevant Information

Deep understanding of enterprise telephony systems, payment infrastructure, compliance requirements affecting AI deployment.
Ability to design safe, compliant, measurable AI systems that are commercially meaningful.
Operate at the intersection of product management, AI technology, and mission-critical customer communication.

Learning Opportunities

Experience taking AI agents from demo to production in regulated US industries.
Designing and validating AI systems under compliance constraints.
Understanding real-world constraints on AI imposed by telephony/payment/compliance infrastructure.