Prodigal

10 jobs at Prodigal

Data Engineer

Bengaluru · Onsite · 1 month ago

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 About the role - We are looking for a passionate and driven Data Engineer to join our team. You will be instrumental in building scalable data pipelines, generating powerful insights, and supporting our AI/ML initiatives. If you enjoy working across data engineering and analytics and want to help shape the future of Agentic AI, we'd love to hear from you! 🏆 Responsibilities Design, build and manage robust data pipelines for collecting, transforming and modeling data within our Databricks data lake - dbt is your primary tool, not an afterthought Own the dbt layer end to end - models, sources, tests, macros, incremental strategies and documentation. If it touches transformation, it goes through dbt and you're accountable for it being clean, tested and re-runnable Turn raw, messy data into reliable, well-modeled assets that downstream teams can actually trust - no untested models, no undocumented logic, no shortcuts Collaborate closely with cross-functional teams to deliver actionable insights that drive product, AI and business decisions - translating business logic into dbt models that are built to last Support AI and ML initiatives by ensuring clean, validated and well-structured data is always available when the models need it Identify and fix performance bottlenecks in dbt models, Databricks queries and downstream reporting pipelines ✅ Requirements 2-3 years of hands-on experience in data engineering - you've built things in production, not just in notebooks Strong SQL - you can write and reason about complex joins, aggregations and window functions, and you know why a query is slow before you tune it Python for data engineering with production-grade PySpark or Spark SQL experience. Databricks strongly preferred Dimensional modeling - star schemas, fact vs dimension grain, SCD Type 2, and incremental loads you can confidently re-run without breaking things dbt as your transformation framework of choice - models, tests, sources and incremental strategies are second nature to you AWS hands-on experience across Lambda, S3, CloudFront, SQS and beyond AI-native workflow - we ship with Claude Code and Cursor and we expect you to use them well, not just know they exist Sharp problem solving - you find the right balance between getting it right and getting it done, and communicate clearly when tradeoffs are being made Self-driven and curious - you thrive in fast paced environments, pick things up quickly and keep an eye on what's emerging in the data ecosystem Bonus - Foundational knowledge in ML/AI fundamentals Mode of Work - In-Office (Koramangala,Bengaluru) ⚙️ Our Tech Stack Products built using Python, Cursor, Claude, dbt, Airflow Databases such as MongoDB, PostgreSQL, Redis, Databricks, Deployments on EKS, EC2, Lambda and other AWS services 🎁 What we offer Top Tier Benefits Health insurance for you and your family, meals at office on us, travel reimbursement, unlimited leaves, subsidized gym membership, unlimited learning & development, flexible work schedule and a world-class team to learn and grow with! 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Content Marketing Intern

Mumbai · Onsite · 1 month ago

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 About the Role AI has made it incredibly easy to produce content. There are more articles, posts, emails, videos, and opinions competing for people's attention every day. We think this makes genuinely good content more valuable. We're looking for a Content Marketing Intern who wants to become exceptionally good at understanding an audience, finding ideas worth talking about, and turning those ideas into work people actually want to read, watch, save, share, and come back to. At Prodigal, good content starts with understanding. You'll learn how financial institutions operate, how their teams work, what their customers experience, what executives care about, where processes break, and how AI is changing the industry. We go unusually deep into these details. We obsess over the people, processes, regulations, and edge cases that shape how this industry actually works. That level of understanding should show up in everything we publish. We want someone inside the industry to encounter something from Prodigal and think: How do they know that? And we want the content to be good enough that they keep reading. This is an Intern + PPO opportunity (performance based). What You'll Do Research deeply Ideas can come from anywhere: earnings calls, annual reports, customer conversations, regulatory filings, job postings, datasets, online communities, sales calls, or an obscure detail several searches deep. You'll learn to enter an unfamiliar subject quickly, understand what is happening, separate signal from noise, and find the part worth telling someone about. Create content people want to finish You'll work across LinkedIn, articles, research reports, executive content, newsletters, customer stories, email campaigns, videos, event content, data-led stories, and formats we haven't tried yet. You'll think carefully about the reader throughout: - What would make them stop? - What do they already know? - What might surprise them? - Where will they lose interest? - What would make this worth sharing? The headline, structure, language, examples, and design should all come from those questions. Learn the industry You don't need to understand financial services before joining. You do need to be curious enough to learn it. You'll understand how banks and lenders make decisions, how borrowers move through different stages of a loan, why an auto lender operates differently from a card issuer, how regulations shape interactions, and what changes when thousands or millions of customer conversations need to happen at scale. Experiment Try new hooks, structures, research formats, visual treatments, videos, interactive ideas, event experiences, and approaches borrowed from great creators, journalists, consumer brands, and places outside traditional B2B marketing. Some will work. Some won't. Pay attention to why. Think about the whole journey A person may first see a LinkedIn post, later read a report, receive an email, watch a customer story, visit our website, meet us at an event, and eventually speak with Sales. You'll think about how those interactions connect and whether each one strengthens the person's understanding of Prodigal. Use AI well AI should make you significantly faster. Use it for research, synthesis, transcript analysis, idea exploration, pattern finding, alternative approaches, and iteration. You'll still be responsible for judgment. You should notice when something sounds generic, when a polished paragraph says very little, when an idea needs a better premise, and when one version among ten is clearly stronger. As generating content becomes easier, taste becomes more important. What We're Looking For Curiosity. You enjoy understanding things and tend to keep digging when something catches your attention. Taste. You notice when something is genuinely interesting, generic, forced, overdone, or forgettable. Your taste might come from writing, film, design, advertising, music, YouTube, journalism, memes, or something completely different. Reader instinct. You naturally think about how something will land with another person and what will make them care. Energy. Ideas excite you. You like making things, trying another version, and bringing momentum into a project. Clear thinking. You can consume a lot of information, decide what matters, and explain something complicated simply. Love for language. You care about words, openings, rhythm, and whether something sounds like an actual human wrote it. Iteration. You can make several versions, take feedback, throw away something you liked, and improve it. Independent thinking. You question conventions, bring references from outside B2B marketing, and are comfortable suggesting ideas we haven't considered. Attention to detail. Names, numbers, sources, terminology, claims, and context need to be right. You Don't Need a Traditional Content Background This could be your first formal marketing role. We're interested in people who have chosen to make things on their own. Maybe you've written online, started a newsletter, made videos, built a social page or community, run a college publication, created great memes, developed a side project, researched one topic obsessively, or built an audience around something you care about. Why This Role Is Interesting Content is changing quickly. AI is dramatically reducing the time required to research, draft, edit, design, and produce. Someone with curiosity, judgment, taste, and energy can now explore more ideas and iterate much faster than was possible a few years ago. You'll get to develop those skills while working close to founders, product teams, engineers, Sales, customers, industry operators, and people who have spent years understanding how financial institutions actually work. You'll also have room to leave a mark. You could create a research franchise people follow every year, invent a format that becomes associated with Prodigal, uncover a story nobody else noticed, or build something that people inside the industry start waiting for. Years from now, there should be things in Prodigal's body of work that exist partly because you were here and thought of them. 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Business Development Representative - US Market

Mumbai · Onsite · 1 month ago

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 About the Role We're looking for a Business Development Representative to help open the right doors for Prodigal. Your job is simple to describe and difficult to do well: Find the right companies and people, understand why Prodigal could matter to them, start a relevant conversation, and earn the meeting. Once that meeting is qualified, you'll partner with an Account Executive who takes the opportunity forward. This isn't a role where success comes from sending the highest number of templated emails. Our customers can be lenders, card issuers, auto-finance companies, collection agencies, debt buyers, servicers, BPOs, credit unions, and healthcare organizations. Their business models, economics, regulations, workflows, and priorities can be materially different. To be great here, you'll need to learn those differences. You might spend one morning understanding why early-stage auto collections behaves differently from post-charge-off recovery, then work out why a servicing executive at a lender should care about something completely different from an operations leader at a collection agency. Then you need to reduce all of that thinking into an email someone can understand in 20 seconds, or a cold call that earns you another 30. That's the job. What You'll Do Own outbound prospecting into strategic US accounts. Identify the right companies, stakeholders, and moments to engage across phone, email, LinkedIn, events, and other channels. Learn how our prospects actually operate. Understand their business model, workflows, priorities, KPIs, regulatory environment, and where AI could realistically create value. Develop a hypothesis before you pitch. Instead of starting with what Prodigal does, work out why this particular person at this particular company may have a problem worth discussing. Create highly relevant outreach. Translate complex research into simple, sharp messages that make senior prospects want to respond. Cold call. Become comfortable speaking with senior operators and executives, navigating rejection, thinking on your feet, and earning the next conversation. Book qualified meetings and make strong handoffs. Give the AE the context behind the meeting. What matters to the prospect? Why did they engage? What did we learn? Partner closely with AEs and Marketing. Prioritize accounts, develop angles, plan event outreach, experiment with campaigns, and learn which signals actually create pipeline. Use AI aggressively, but thoughtfully. Use AI to research faster, synthesize information, generate ideas, prepare calls, and remove repetitive work. You'll still be responsible for deciding what's true, what's relevant, and what's worth sending. Keep the details right. Maintain clean account data, follow-ups, sequences, CRM records, notes, and handoffs. Turn the market into feedback. Share objections, patterns, competitive signals, buyer language, and messaging insights with the wider GTM team so our positioning keeps getting better. Represent Prodigal in person. Over time, you'll have opportunities to meet prospects at conferences and industry events. We want someone who is comfortable walking into a room, starting conversations, and building genuine rapport. What You'll Bring We care less about finding someone who already knows every sales technique and more about finding someone with the underlying characteristics to become exceptional at this job. Discipline You can do the work consistently. Prospecting has repetitive parts. Following up matters. Preparation matters. CRM hygiene matters. Good weeks don't make you complacent, and bad weeks don't destroy your routine. Commercial curiosity You genuinely want to understand how businesses work. When you encounter an unfamiliar company or business model, your instinct is to investigate rather than immediately reach for a template. You ask good questions, connect information quickly, and can form a point of view from incomplete information. Drive to get better You want progress, responsibility, and mastery, not just the next incentive payout. You review what worked, want feedback, experiment, and deliberately improve your craft. Strong judgment AI can give you ten answers in ten seconds. You can decide which one is actually good. You know the difference between something that is technically personalized and something another human being would genuinely find relevant. You verify facts, question assumptions, and care about the quality of what leaves your name. Clear communication You can take something complicated and make it simple. Strong writing matters. So does speaking naturally without hiding behind jargon or memorized scripts. Social intelligence You pay attention to the person on the other side. You can read a conversation, listen, adjust your approach, understand incentives, and recognize when to push, when to ask, and when to back off. Resilience Selling involves rejection. A prospect hanging up, ignoring your email, or telling you no doesn't ruin your day. You recover quickly, learn what you can, and move on to the next conversation. Attention to detail Names, numbers, titles, claims, dates, account history, and follow-ups matter. You don't need to be perfect, but you should care when something is wrong. Independent thinking + coachability You should have opinions. We want you to challenge messaging, suggest experiments, question assumptions, and tell us when you think something won't work. We also want you to change your mind quickly when someone has better evidence. Experience 1-3 years of experience in B2B sales, business development, SDR/BDR work, or another highly customer-facing role is preferred. Prior experience selling to US customers is useful but not mandatory. Experience in SaaS, fintech, financial services, or AI is a plus. Strong written and spoken English is important. You should be comfortable working with modern sales tools and learning new AI tools quickly. Exceptional early-career candidates with strong evidence of discipline, communication, curiosity, and drive should still apply. Why This Role Learn a difficult industry deeply You'll learn how some of the largest lenders and financial institutions in North America actually operate through live accounts and conversations. Learn how enterprise AI is actually sold Selling AI in 2026 is increasingly less about showing someone a clever demo and more about understanding their operation well enough to identify where AI can safely produce an outcome. You'll work alongside AEs, product teams, AI deployment teams, engineers, and industry experts, and see that process up close. Build judgment, not just sales activity We want AI doing more of the repetitive work over time. That should give you more time for the parts of selling that humans are uniquely good at: understanding context, forming opinions, communicating ideas, building relationships, and creating trust. Help build the playbook We're not a giant SDR organization where your job is to inherit a script and follow it. You'll have room to experiment with accounts, messaging, channels, tools, and campaigns, and the things that work can become part of how Prodigal goes to market. Real ownership early The meetings you create can turn into meaningful enterprise relationships. Your research can change how an AE approaches an account. An objection you hear repeatedly can change our messaging. A pattern you discover can influence a campaign. You will be close enough to the business to see the consequences of your work. The Kind of Person Who Will Thrive Here You don't need founder-level intensity. But you do need to care deeply about becoming good at what you do. You are ambitious without being impatient. Competitive without making everything about yourself. Confident enough to have an opinion and humble enough to update it. You like people. You like learning. You don't mind hearing "no." And when you encounter something you don't understand, your instinct is to figure it out. If that sounds like you, we'd like to meet you. 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Machine Learning Engineer

Mumbai · Onsite · 1 month ago

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 About the DSML Team The Data Science and Machine Learning (DSML) team owns the full lifecycle of Prodigal's ML systems, from data curation to model selection, fine-tuning, and post-training, through to deployment, evaluation, and ongoing monitoring. We sit close to real product and customer problems, and we're expected to move from experiment to production with both speed and rigor. What You'll Do Understand the problem domain. Work closely with product, engineering, and customer-facing teams to turn ambiguous, real-world problems into well-scoped ML problems. Curate datasets. Source, clean, and structure the data needed to train and evaluate models, often before any "off-the-shelf" dataset exists. Train models across the full spectrum. Build and train everything from simple classifiers to neural networks, transformers, and small/large language models, choosing the right level of complexity for the problem at hand. Deploy and scale for inference. Take models from notebook to production. optimizing for latency, cost, and reliability at scale. Evaluate and close the loop. Design evaluation frameworks that actually measure what matters, and build learning loops. What You Bring Strong fundamentals in ML/DL, backed by hands-on experience training and shipping models, not just coursework or competitions. High agency, you take an ambiguous problem and run with it rather than waiting for it to be fully specified. A first-principles approach to problem-solving – you reason from the ground up rather than defaulting to whatever's fashionable or familiar. Genuine curiosity and the comfort to operate at the edge of what you already know. Why This Role Real problems, real models, real data. No toy datasets, no academic benchmarks — you'll work on problems that directly affect customers and the business. Frontier technology, applied. Learn to harness the latest in AI and put it to work on problems that matter. Smart people, fast shipping. Work alongside a sharp team, ship quickly, and grow faster than you would elsewhere. What You Bring 2-5 years of hands-on engineering experience, with good exposure to building or working with ML or AI systems in production. Solid Python fundamentals - you are comfortable writing clean, maintainable code and debugging production issues. Some experience working with LLMs: prompt engineering, API integrations, or building simple pipelines or agents. High bias for action - you don't wait to be told exactly what to do, and you push yourself to ship rather than over-engineer. Eager to learn in a fast-moving environment, take ownership of your work, and ask good questions. Top Tier Benefits Health insurance for you and your family, meals at office on us, travel reimbursement, unlimited leaves, gym membership, unlimited learning & development, flexible work schedule and a world-class team to learn and grow with! 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Applied AI Engineer

Bengaluru · Onsite · 7 months ago

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 About the Role We're looking for an AI Engineer to join the proAgent team and work on the systems that power our autonomous voice agents in live financial conversations. You'll work alongside a small, high-agency team where you will have real ownership over features and components from day one. This is a hands-on engineering role. You'll be deep in the code - building agent logic, integrating speech models, tuning prompts, and debugging gnarly real-time issues. You don't need to have done all of this before, but you need to be the kind of engineer who figures things out fast, takes feedback well, and ships. What You'll Do ( TL;DR version ) Agent Loop & Reasoning Build and maintain components of the agentic runtime that powers multi-turn financial conversations - covering payment negotiations, compliance guardrails, and objection handling Implement context management logic that tracks consumer state, conversation history, and business rules across long, branching dialogues Write and iterate on primitives that balance conversational fluidity with structured reasoning - the agent needs to feel human while making verifiable decisions Voice AI Systems Work on our real-time voice pipeline with a target of sub-1s latency across transcription, reasoning, and synthesis Contribute to VAD tuning and turn-taking logic that makes conversations feel natural Help evaluate and integrate speech models (STT, TTS, speech-to-speech) - we currently work with ElevenLabs and Cartesia for TTS, and Deepgram for STT, and are always exploring what's next Debug streaming audio and WebRTC issues in production LLM Infrastructure Write and refine prompts, implement orchestration flows, and contribute to model routing logic Build components of our evaluation framework - helping measure agent quality across conversation quality, empathy, and compliance adherence Stay curious about new models and tools - flag opportunities and contribute to build-vs-integrate discussions What You Bring 2 – 5 years of hands-on engineering experience, with good exposure to building or working with ML or AI systems in production. Solid Python fundamentals - you are comfortable writing clean, maintainable code and debugging production issues. Some experience working with LLMs: prompt engineering, API integrations, or building simple pipelines or agents. High bias for action - you don't wait to be told exactly what to do, and you push yourself to ship rather than over-engineer. Strong fundamentals in Python; familiarity with TypeScript is a plus. Eager to learn in a fast-moving environment, take ownership of your work, and ask good questions. Even Better Exposure to voice AI: speech recognition, synthesis, or telephony systems - even if only through personal projects or coursework Any background or interest in fintech, lending, or collections You've tinkered with Twilio, LiveKit, ElevenLabs, or similar real-time infrastructure You've built a small agentic system - even a side project - that combines LLM reasoning with structured actions Familiarity with streaming protocols, WebRTC, or low-latency system design Why This Role Real ownership from day one: The Applied AI team behind proAgent is small in size, high in talent density. You'll own components, ship features, and see your work in live consumer conversations within weeks. Frontier work: voice AI that reasons, decides, and acts is one of the hardest problems in applied AI. You'll be learning by doing on problems most engineers never touch. Strong mentorship: you'll work directly with senior engineers and the AI Lead who will invest in your growth - this is a place to level up fast. High leverage early career: the decisions you make and the code you write will impact millions of financial conversations. Rare for an early-career role. 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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AI Deployment Lead

Mumbai · Onsite · 7 months ago

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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Strategy and Operations Analyst

Bengaluru · Onsite · 8 months ago

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 About The Team You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance. Role Overview As a Strategy & Operations Analyst, you will work with the team to execute and scale high-impact strategies and initiatives for clients. You’ll both build and scale: owning live AI based strategies, testing new ideas, identifying and solving client challenges, and driving strategic initiatives. This is beyond a traditional consulting role where impact ends at strategic recommendations. Here, you will own strategies end-to-end, from design to live execution. You’ll have visibility over their direct, measurable impact on real business outcomes. You’ll operate in a high-growth environment with accelerated learning, full ownership, and continuous exposure to CXOs. The role also offers periodic travel to the US for client meetings and industry conferences, giving you on-ground global exposure. This role is designed as a fast-growth pathway into a Strategy & Operations Lead position , based on performance, learning velocity, and leadership readiness. Mode of work - 5 days in office What makes you a good fit? You enjoy solving real-world problems and taking full ownership of outcomes, not just analyses. You combine structured thinking with execution discipline and are comfortable working in fast-moving, client-facing environments. You’re motivated by measurable impact, continuous learning, and early responsibility. Responsibilities Strategy: Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns Analytics and Operations: Develop insightful, scalable reports and dashboards to track key performance metrics and proactively track deviations, trends, and anomalies Lead the execution and monitoring of A/B tests to measure product improvements and optimize service delivery Continuously improve underlying processes and systems by designing structured experiments, analyzing results, and translating learnings into scalable improvements Requirements Bachelor's degree in Engineering, Mathematics or a related field (Tier 1 college from 2025 batch preferred) Deep interest in consulting or product management Relevant data analytics experience Proficiency in Excel, Python, SQL, and Tableau/other BI tools is preferred Excellent communication skills (written and verbal), with the ability to clearly present findings to stakeholders and team members Evaluation Process : Round 1 Intro and communication (15 minutes) Problem/puzzle solving (30 minutes) Case study (60 minutes) Round 2 Culture fit (20 minutes) Final Shortlist/Offer announcement Job Benefits: World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus. Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab. Food at the office – Meals are on us. We won't let your stomach grumble while you hustle. Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family. Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration. Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind. Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4 th drink (of course that’s Nimbu Pani) Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38) 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Customer Success Manager

Mumbai · Onsite · 19 months ago

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 About the Role We're looking for a Customer Success Manager who thrives on chaos as much as clarity. Once an account is handed to you by our AI Deployment team after the hyper-care phase, you own it, whether that means smoothing over rough edges from a still-settling rollout or building on a genuinely stable one. Either way, your job is to go deep on that customer's business, become their most trusted point of contact, from day-to-day users to C-suite champions, and turn early usage into a lasting, expanding relationship across Prodigal's full product suite. You'll do this the way a 2026 CSM should: using AI tools yourself to move fast. That might mean walking a VP of Ops through exactly how much handle time proAgent shaved off last month before they've even asked, or having a clean, data-backed answer ready the moment a compliance lead wants to know whether proInsight flagged a specific violation, instead of promising to "get back to them" and grinding through a manual pull. What You'll Own Own the relationship: a portfolio of accounts post-handover from Deployment, from day-to-day users to CXOs. Set clear expectations, protect trust, and be the internal voice for what your customers actually need Drive value realization: make sure every account can point to measurable ROI from Prodigal's products, not just usage, and use that proof to defend renewals and justify expansion Drive growth: adoption, renewals, and expansion are the job; GRR, NRR and CSAT are the scorecard. Demo the rest of Prodigal's suite when there's a genuine cross-sell fit Go deep on the business: understand each customer's goals and day-to-day operations well enough to flag opportunities they haven't thought of yet Run QBRs, and build proof: turn strong outcomes into testimonials and case studies Partner across the company, and catch trouble early: work with Deployment, Engineering, Product, Marketing, Analytics, and Support, and flag account risk before it becomes urgent Key Competencies Customer Engagement & Retention: proactively drive usage, manage cross-sell/upsell conversations, and maintain a healthy NRR and CSAT Industry & Product Depth: genuinely understands the debt collections/consumer finance industry and the day-to-day operations of Prodigal's customers Executive Presence: comfortable running structured, high-stakes conversations with CXOs and senior stakeholders, not just day-to-day users Strategic Thinking & Project Management: brings strategic insight to client interactions and expertly manages project timelines, priorities, and customer expectations Problem-Solving: navigates ambiguity, diagnoses customer problems, and devises innovative solutions that ensure customer success Business Acumen: thinks in numbers: ROI, usage data, and account health metrics inform how you prioritize and pitch High Agency: takes ownership without waiting to be told; comfortable making calls in ambiguous, fast-moving situations What We're Looking For 3-5 years of experience in Customer Success, ideally in a B2B AI products Experience working with North America-based customers Based out of our Mumbai office, 5 days a week Familiar with 0→1 Customer Success Available during US business hours (until 4:30 PM ET) Strong customer-first mindset with excellent verbal and written communication Thrives in a fast-paced, high-growth startup environment High agency individual that pursues excellence. Ready to wear multiple hats. Top Tier Benefits Health insurance for you and your family, meals at office on us, travel reimbursement, unlimited leaves, gym membership, unlimited learning & development, flexible work schedule and a world-class team to learn and grow with! 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Agent Engineer

Mumbai · Onsite · 20 months ago

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 What You’ll Do Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations What We’re Looking For 1–3 years experience in backend / data / AI engineering Strong in Python + SQL Experience or exposure to LLMs, RAG, or prompt engineering High ownership, ability to work in ambiguity and ship fast Comfortable working with customers and cross-functional teams Preferred Qualification B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience Bonus Experience with production LLM systems / AI agents Familiarity with evaluation, agent tooling, or voice AI Experience with Databricks, MongoDB, or distributed systems Startup or customer-facing engineering experience Why This Role Work on real production AI systems (not demos) End-to-end ownership and fast iteration cycles Direct impact on enterprise customers and business outcomes Mode of Work - In-Office 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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Strategy and Operations Lead

Bengaluru · Onsite · 31 months ago

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 About The Team: You’ll join Prodigal’s Strategy & Operations team, the consulting and services arm of the company. We partner with lenders (Banks, NBFCs & BNPLs etc.) and debt collection agencies to transform how they engage consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance.. Role Overview: As a Strategy & Operations Lead, you will own end-to-end consumer engagement and collections strategy for a portfolio of 3-4 clients. This is a hands-on role where you’ll move from problem identification to strategy design to execution, directly operating workflows across various engagement channels. You will work directly with senior client leaders, including CXOs, owning both strategic outcomes and the relationship. In a span of 6-12 months from joining, you'll have the opportunity to hire and lead analysts to amplify your experience and drive more impact. Responsibilities : Strategy: Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns Operations: Ensure strategies are implemented and working as expected Monitor performance dashboards, resolve workflow issues, and ensure campaigns are live, accurate, and compliant Develop KPI frameworks to track performance, translating data into actionable insights to drive measurable impact Improve underlying processes and systems to increase transparency, attribution accuracy, and speed of iteration, partnering with product and engineering on roadmap priorities Requirements : Bachelor's degree in Engineering, Mathematics or a related field (preferably from Tier 1 college) with minimum 1 year of experience in consulting (Tier 1 or Tier 2) Familiarity with SQL, Python, or other data analysis and scripting tools is a plus High reliability and attention to detail Strong communication skills Bachelor's degree in Engineering, Mathematics or a related field Other Job Benefits: Job benefits : World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus. Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab. Food at the office – Meals are on us. We won't let your stomach grumble while you hustle. Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family. Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration. Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind. Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4 th drink (of course that’s Nimbu Pani) Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38) 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 What shapes our thinking - https://link.prodigaltech.com/our-thesis Our website - https://www.prodigaltech.com/

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