AI Deployment Lead

At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began when our founders Shantanu and Sangram faced the antiquated the $13B+ lending/collections industry was mostly using pen and paper and decided to build the first real intelligence layer for debt recovery. Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for loan servicing and collections. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence. With over 100+ enterprise customers across North America and backing from Y Combinator, Accel and Menlo Ventures, we are the fastest growing AI company in consumer finance. The Role This is one of the most critical and demanding roles at Prodigal. As an AI Deployment Lead, you are the person who takes an AI agent from a signed contract to a live, performing system and then keeps it getting better. You sit at the intersection of customer understanding, technical depth, and operational rigor. You own the outcome. You will work directly with our North American customers - debt collection agencies, lenders, and loan servicers, to understand how their businesses actually run: their call flows, agent scripts/talk-tracks, compliance constraints, telephony/ dialer infrastructure, payment gateways, CRM systems, and APIs. You will translate that understanding into precise requirements and make sure what gets built is right before it ever touches a live call in production. This is not a project management role with a technical veneer. You will design how the agent should think, speak, and behave across every scenario, validate that it does, and push for refinements until the system performs at the level the customer and you expect. If you want to understand how enterprise AI actually gets deployed at scale, not in theory but in production, this is that role. What You'll Own Customer Discovery and Scoping Deeply understand each customer's business and existing call workflows. Map their full tech stack: telephony dialer, payment processors, portals, CRMs, and the APIs connecting them Design call flow diagrams and interaction maps that translate customer workflows into precise agent behaviours Translate complex, sometimes ambiguous requirements into clear, actionable scopes for engineering Deployment and Phased Delivery Own end-to-end delivery across multiple deployment phases Manage 4 to 6 concurrent deployments with strong project governance, clear milestones, and zero surprises for the customer Drive all customer-facing calls, from kickoff through go-live, with clarity, confidence, and follow-through Agent Validation and Performance Design comprehensive scenarios covering happy paths, edge cases and adversarial situations to ensure the agent is production-ready Conduct test calls alongside Agent Engineers to evaluate agent performance across real-world conditions Own the feedback loop: test → identify gaps → brief the Agent Engineer → retest → validate and approve Post-Go-Live Ownership Stay close after launch: track agent KPIs, surface performance issues, manage post-production bugs, and drive continuous improvement Lead phased expansion, each new capability is a new deployment with its own scoping, testing, and go-live cycle Serve as the primary escalation point until the deployment reaches a stable, handoff-ready state Stakeholder Management Navigate multi-stakeholder customer environments: CXOs, Operations, Compliance, IT, and Tech teams, each with different priorities and vocabularies Be the person customers trust - responsive, on top of every commitment, and always a step ahead Internally, work across functions to unblock delivery and represent the customer's reality Who You Are 2+ years of work experience in B2B SaaS, consulting, digital tra…