---
title: 'AI Deployment Lead at Prodigal'
canonical: 'https://feeny.ai/job/ai-deployment-lead-prodigal-mumbai-7rzz889peche'
type: 'job'
last_seen: '2026-10-18'
---

# AI Deployment Lead at Prodigal

- **Company:** Prodigal
- **Location:** Mumbai, India
- **Posted:** 2026-03-02
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.greenhouse.io/prodigal/jobs/5066143007

## Job description

## About Prodigal

Prodigal is the connected AI platform leading financial institutions use to run their operations.

We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time.

These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved?

Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them.

Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America.

Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next.

We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect.

We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje

## 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 transformation, or technical deployments/ implementations
- Experience deploying or managing voice AI agents, conversational AI, or automation systems is a strong plus
- Familiarity with the US consumer finance or debt collections industry is a plus, not a requirement
- You understand how APIs work, can read a basic integration spec, and can hold a credible technical conversation without being an engineer
- You're the kind of person who anticipates problems before they surface and builds for them
- Strong communicator, equally comfortable presenting to a CXO and working through an escalation path with an engineer
- You thrive in ambiguity and figure things out without waiting to be told how. This role comes with high ownership and low hand-holding by design
- You'll report to the Head of Customer Success and Deployments
- You'll be joining a growing deployment team
- Experience working with or for North American customers is preferred

## What You'll Learn

- How to take AI agents from demo to production in one of the most regulated, high-stakes industries in the US
- How to design and validate AI systems that are safe, compliant, measurable, and commercially meaningful
- How enterprise telephony, payment infrastructure, and compliance requirements shape what AI can and cannot do in the real world
- How to operate at the intersection of product, AI, and mission-critical customer communication

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

To learn more about us - please visit the following:

[Our Story](https://www.prodigaltech.com/our-story)- https://www.prodigaltech.com/our-story

[What shapes our thinking](https://prodigaltech.notion.site/What-Shapes-Our-Thinking-908a433f080c4944bc48dd70ff60cf36?pvs=4) - https://link.prodigaltech.com/our-thesis

[Our website](https://www.prodigaltech.com/) - https://www.prodigaltech.com/

## About Prodigal

## Company Overview
- **One-liner**: Prodigal builds specialized AI agents and an intelligence platform for the lending and debt collections industry, helping consumer finance teams transition to AI-native operations.
- **Entity Type**: Private (Series A, raised from Accel and Menlo Ventures)
- **Headquarters**: Mountain View, California, USA (with a significant office in Mumbai, India)
- **Founded**: 2018
- **Founders**: Shantanu Gangal (CEO & Co-Founder) and an undisclosed CTO & Co-Founder

## Core Business
- **Primary industries**: Consumer finance – specifically loan servicing, debt collections, and consumer lending.
- **Target customers**: B2B – banks, credit unions, fintech lenders, and third-party collection agencies (mid-market and enterprise).
- **Mission / purpose**: Accelerate the shift to AI-native consumer finance by building an agentic workforce that transforms how lending and collections teams operate.

## Products & Services
- **Prodigal Intelligence Engine (PIE)**: A unified platform for seamless context transfer across all agentic applications in consumer finance.
- **AI Co‑pilot**: Automated note‑taking and real‑time agent assistance for servicing and collections calls.
- **proAgent**: An AI‑driven agent tailored specifically to consumer finance interactions.
- **proPay**: An intelligent, intuitive payment portal designed for collections.
- **scoreGenie & trainGenie**: Agentic workflows that automate quality assurance and agent training in lending and collections.

All products are trained on proprietary, industry‑specific data and are deployed as SaaS solutions.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding raised (undisclosed Series A amount) from Accel and Menlo Ventures, with earlier backing from Y Combinator. The company has analyzed over 200 million consumer finance interactions and claims product‑market fit.
- **Notable Investors/Partners**: Accel, Menlo Ventures, Y Combinator.
- **Growth Signals**: Launch of six new products/features in 2024‑2025 (proAgent, proPay, scoreGenie, trainGenie, PIE); target market is the $18 billion+ lending and collections industry; ongoing hiring across engineering, ML, and sales roles.

## Competitive Advantages
- **Vertical specialization**: AI built exclusively for consumer finance, trained on half a billion proprietary interactions – a moat that general‑purpose AI providers cannot easily replicate.
- **End‑to‑end platform**: From agent assistance to quality assurance, payment portals, and context‑sharing engine – reduces the need for multiple vendors.
- **Deep tech stack**: Access to best‑in‑class LLMs, Databricks, Cursor, Devin.ai, and TrueFoundry; emphasis on building specialized models in‑house.
- **Y Combinator pedigree**: Early validation and network effects.

## Strategic Focus
- Continue building an “agentic workforce” for consumer finance, replacing outdated workflows with AI‑native operations.
- Expand the product suite (recent launches of proAgent, proPay, scoreGenie, trainGenie) and deepen integrations.
- Scale go‑to‑market for mid‑market and enterprise accounts, leveraging the existing traction with 200 million+ interactions processed.

## Why Work Here
- **Cutting‑edge AI work**: Engineers and ML practitioners work on specialized GenAI models for a real‑world, high‑stakes industry, with access to top LLMs and cloud credits.
- **Flexible culture**: “Not a clock‑in, clock‑out company” – fully remote‑friendly schedules, unlimited vacation (paid time off), and trust‑based autonomy.
- **Growth & mentorship**: Leadership actively mentors through 1:1s, lunches; employees can rotate across verticals and take side‑projects. Sponsored learning (courses, conferences, books).
- **Perks**: Competitive salaries, comprehensive health insurance for family, heavily discounted gym memberships, food/travel/electronics allowances, and biannual team offsites (football, cricket, marathons).
- **Engineering philosophy**: Open culture, merit‑based decisions, bias for action, and regular hackathons (e.g., Jan 2025). Stack emphasizes modern tools (Cursor, Databricks, TrueFoundry).
- **Locations**: Mountain View, CA (HQ) and Mumbai, India (major engineering/sales hub).

## Sources
1. [prodigaltech.com – Our Story](https://www.prodigaltech.com/our-story)
2. [prodigaltech.com – Careers](https://www.prodigaltech.com/careers)
3. [LinkedIn – Prodigal](https://www.linkedin.com/company/prodigaltech)
4. [prodigaltech.com – About Us](https://www.prodigaltech.com/about-us-v2)

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