---
title: "Aklank Jain - Product Manager in Bengaluru | Tal"
description: "Meet Aklank Jain, Senior Product Manager · Payments Infrastructure & Applied AI | Subscriptions, Routing, AI Agents | 2M tx/day, 200+ merchants | Ex–Wells Fargo | IIT Kharagpur based in Bengaluru. AI stack includes antigravity and opencode."
image: "https://tal.club/meet/aklank-jain/share-image"
---

# Aklank Jain on Tal

## Headline

Senior Product Manager · Payments Infrastructure & Applied AI \| Subscriptions, Routing, AI Agents \| 2M tx/day, 200\+ merchants \| Ex–Wells Fargo \| IIT Kharagpur

## About

I build payment systems that move millions — then use data and AI to make them measurably better\. At Juspay, I own the subscription platform \(UPI Autopay, SI on Cards, eNACH\) and the routing layer across India, SEA, and MENA — 2M transactions/day at 400 TPS for 200\+ merchants\. I think in systems: APIs, failure modes, intelligent retry logic, and the operational discipline that keeps money moving at scale\. More recently, I've been shipping AI agents into this infrastructure — automating error triage, classification, and moving toward self\-serve incident resolution\. What I've shipped recently: → Designed a configurable, issuer\-aware retry engine with PSP failover that improved execution success rate by 4 percentage points across 200\+ merchants\. → Took notification delivery from 75% to 99% reliability through pre\-debit validations, retry orchestration, and a structured failure taxonomy that reduced manual interventions\. → Shipped AI\-driven error classification agents that automate triage of 100\+ new error types weekly — improving support efficiency and tightening feedback loops to engineering\. → Launched Open Router — an open\-source routing framework integrating 5\+ gateways\. Onboarded 25 merchants in 4 months and improved platform resilience\. → Built an internal gateway simulator adopted by 65% of new onboardings, cutting integration time by 2 weeks\. → Led the Integration Center of Excellence \(13 cross\-functional members\); reduced escalation rate from 65% to 15% and production queries from 10/week to 4/week\. Before Juspay, I was an Analytics Consultant at Wells Fargo — reduced banker demand by 10% \(\~$150M/year savings\), shifted 12% of branch calls to digital \(\~$14M/year\), and built segmentation models across 40M customers\. Before that, I improved merchant prediction 5x at Envestnet Yodlee using data mining and ML models\. Where I'm going: I'm deeply interested in the intersection of AI and complex operational systems — payments, infrastructure, developer tools\. I'm building AI agents that shorten root\-cause cycles, summarize logs and dashboards, propose next\-best investigations, and turn error taxonomies into automated action\. The bar is utility over novelty, with clear evaluation and guardrails\. Background: MBA from IIT Kharagpur, B\.Tech \(CS\) from NIT Silchar\. TEDx licensee & convener \(5M\+ YouTube views\)\. Toastmasters Club President\. I like PRDs that engineers trust and coffee that's unreasonably good\. Open to Senior PM roles in payments infrastructure, applied AI, or developer platforms — Bangalore, Dubai, Singapore, or remote\.

## Location

Bengaluru

## AI stack

antigravity

opencode

## Work experience

Product Manager at JUSPAY, Nov 2022 \- Present · 3 yrs 10 mos, Bengaluru, Owned end\-to\-end subscription platform \(UPI Autopay, SI on Cards, eNACH\) and transaction routing layer across IN/SEA/MENA, operating at 2M tx/day and 400 TPS for 200\+ merchants\. \- Improved platform execution success by \+4pp by designing a configurable, issuer\-aware retry engine with PSP failover, idempotency, and policy\-based routing — adopted across 200\+ merchants\. \- Increased notification delivery reliability from 75% → 99% by introducing pre\-debit validations, retry orchestration, and a structured failure taxonomy, reducing operational load\. \- Launched an open\-source routing framework \(Open Router\) integrating 5\+ gateways; enabled faster merchant onboarding and improved platform resilience — 25 merchants in 4 months\. \- Built an internal gateway simulator to emulate PSP behaviors and edge cases, adopted by 65% of new onboardings, reducing time\-to\-integration by 2 weeks\. \- Led the Integration Center of Excellence \(13 cross\-functional members\), defining SOPs, checklists, and integration playbooks; reduced escalation rate from 65% → 15% and production queries from 10/week → 4/week\. \- Drove platform observability by defining SLIs/SLOs and alerting across transaction, notification, and mandate flows — enabling proactive issue detection\. \- Developed and shipped AI\-driven error classification agents to automate triage of 100\+ new error types weekly, improving support efficiency and engineering feedback loops\.

Analytics Consultant at Wells Fargo, Jul 2021 \- Dec 2022 · 1 yr 6 mos, Bangalore Urban, Worked in Consumer Analytics to improve customer experience and branch efficiency across 40M\+ customer accounts\. \- Reduced banker demand by 10% \(\~$150M/year savings\); shifted 12% of branch calls to Digital/IVR \(\~$14M/year savings\)\. \- Developed customer segmentation models informing a $400M strategy to move deposits into insurance and credit products\. \- Replatformed legacy reporting infrastructure; reduced analyst time by 80% and improved visualization quality\. \- Analyzed pre/post\-Covid behavior shifts for 40M customers to inform omnichannel strategy\. \- Awarded Team Spotlight for organizational impact\. Wells Fargo Recognition Level 4 \(global\)\.

Data Analyst at Godrej Housing Finance, Jun 2020 \- Aug 2020 · 3 mos, \-Identified Business Use Cases and analyzed the feasibility of digital verification of customers \- Designed a model to predict physical verification requirements that would bring down costs for the company up to INR 15 \- 20 Lakhs per year using Fuzzy Matching \- Liaison with multiple stakeholders to consolidate key performance metrics for the organization \- Delivered a POC for KPI Dashboard that served as model for organization\-wide implementation

Senior Software Engineer at Envestnet \| Yodlee India, Mar 2019 \- Jun 2019 · 4 mos, Bangalore, \- Improved merchant prediction by 5x using data mining and ML models; reduced validation time by 95% \(40 → 2 man\-hours\)\. \- Built and owned payroll analytics panel; recognized as MVP \(Top 1% of employees\)\. \- Led a team of 6 for financial transaction data extraction using Python, SQL, and Spark\. \- Developed an algorithm based on the 80/20 rule that cut time\-to\-market by 1 day through automation\.

Software Engineer at Envestnet \| Yodlee India, Jul 2017 \- Feb 2019 · 1 yr 8 mos, Bengaluru, Karnataka, India

Consultant at Constems\-AI Systems Pvt Ltd, Nov 2016 \- Mar 2017 · 5 mos

## Education

Master of Business Administration \- MBA, Indian Institute of Technology, Kharagpur

Bachelor's degree, Computer Science and Engineering, NIT Silchar

[View the original profile](https://tal.club/meet/aklank-jain)

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