---
title: "Sankaralingam Dushyant - Staff Product Manager in Pune City | Tal"
description: "Meet Sankaralingam Dushyant, Staff Product Manager at Addepar | Financial Infrastructure, Trading Systems & Agentic AI Workflows based in Pune City. AI stack includes antigravity and codex."
image: "https://tal.club/meet/sankaralingam-dushyant/share-image"
---

# Sankaralingam Dushyant on Tal

## Headline

Staff Product Manager at Addepar \| Financial Infrastructure, Trading Systems & Agentic AI Workflows

## About

I am a Product Leader with 8 years of experience across fintech, SaaS, and analytics, specializing in turning deeply complex systems into highly scalable, user\-centric solutions\. Throughout my career, I’ve found my sweet spot in managing chaos: whether it’s driving zero\-to\-one product development, guiding global cross\-functional teams through major organizational flux \(like post\-acquisition integrations\), or untangling legacy technical debt to build unified enterprise platforms\. Most recently at Addepar, I spearheaded a massive architectural pivot—halting development on a siloed legacy application to build a "Unified Trading" platform from scratch\. To do this, I acted as the primary product owner for a globally distributed team of 20\+ engineers and designers across the US, UK, and India\. I am also deeply passionate about modernizing the product lifecycle\. I actively leverage AI tools \(like Gemini Enterprise and Claude Code\) to accelerate market research, write hyper\-focused PRDs, and establish rapid\-prototyping dev environments\. This AI\-augmented approach has consistently reduced cross\-functional friction and allowed my engineering teams to execute with predictable velocity\. I thrive in environments where I can build both exceptional products and exceptional teams, and I have a strong track record of coaching and mentoring junior talent to achieve high performance\. I am always open to connecting with fellow product leaders and discussing fintech innovation, AI in product management, or the challenges of scaling enterprise systems\.

## Location

Pune City

## AI stack

antigravity

codex

## Work experience

Staff Product Manager at Addepar, Apr 2026 \- Present · 5 mos, Pune City, Maharashtra, India · Hybrid, I lead product development for Addepar's Trading suite, driving global cross\-functional collaboration to deliver scalable, reliable investment workflows for wealth managers: • Spearheaded the strategic pivot from a legacy trading application to a "Unified Trading" model, securing executive buy\-in to rebuild within the core platform\. • Maintained product stability and support for flagship institutional clients, retaining over $1\.2M in recurring revenue despite platform shifts\. • Leveraging a custom LLM to transition manual financial workflows into automated, agentic operations, including maker\-checker workflows, portfolio drift correction, and bulk liquidations\. • Directed a globally distributed, cross\-functional team of 22\+ \(US/UK/India\) through the 0\-1 product lifecycle\. Orchestrated delivery and maintained velocity despite high strategic uncertainty\. • Optimized product discovery by integrating AI\-driven synthesis, reducing PRD creation time, minimizing cross\-functional ambiguity, and increasing delivery predictability\. • Leveraged advanced LLM\-based workflows to prototype, automate documentation, and proactively identify execution gaps, significantly reducing time\-to\-market\.

Product Manager at Addepar, Oct 2023 \- Mar 2026 · 2 yrs 6 mos, Pune City, Maharashtra, India · Hybrid, • Successfully drove the conversion of 15\+ institutional firms, unlocking $2\.0M in combined ARR by delivering the critical trading capabilities in the legacy trading platform\. • Designed and implemented the data foundation for start\-of\-day trading, integrating securities, positions, tax lots, and transactions through Databricks\-powered data pipelines, enabling downstream features like tax\-loss harvesting, and trade reconciliation\. • Unified 4\+ external data sources for pricing, reference, and custodial data, ensuring consistency and reliability across the platform\.

Product Manager at Sentieo, an AlphaSense company, May 2023 \- Oct 2023 · 6 mos, Pune District, Maharashtra, India, AlphaSense is an AI\-powered market intelligence platform\. I led core product initiatives during the post\-acquisition integration of Sentieo, focusing on collaboration tools and enterprise scalability\. • Guided a dedicated engineering team in Finland through the organizational flux of the Sentieo acquisition, driving cross\-functional alignment to migrate legacy workflows and ensure continuity\. • Migrated and rebuilt legacy Sentieo features to ensure enterprise continuity post\-acquisition\.

Associate Product Manager at Sentieo, an AlphaSense company, Jun 2021 \- Apr 2023 · 1 yr 11 mos, Delhi, India, As an APM I owned workflow functionalities of the Notebook product in Sentieo prior to its acquisition by AlphaSense\. • Managed the end\-to\-end product lifecycle for the self\-serve custom reporting engine and data export workflows • Collaborated with UX designers to completely revamp the in\-house Notebook RMS interface\. • Drove operational excellence across the engineering organization by implementing structured product delivery frameworks, resulting in a 40% increase in sprint velocity\.

Senior Business Associate at Gartner, Jul 2019 \- May 2021 · 1 yr 11 mos, Gurugram, Haryana, India, Selected for Gartner’s LEADIT leadership program\. I led product and analytics initiatives to drive retention strategy and improve analyst workflows\. • Spearheaded discussions with service leaders to review business metrics and shape retention strategies\. • Collaborated with cross\-functional teams to drive retention strategies with actionable recommendations and uncover insights\. • Developed a PowerBI\-based integrated dashboard to derive retention metrics and surface\-level insights, improving analyst productivity by 90%\. • Evangelized the dashboard and built trust among high\-level stakeholders around the globe by focusing on data accuracy and transparency\.

Quantitative Analyst at Gartner, Jun 2018 \- Jun 2019 · 1 yr 1 mo, Gurugram, Haryana, India, I led a data science initiative focused on optimizing client service operations\. • Developed an NLP algorithm to summarise documents and websites, extracting forward\-looking critical priorities of Gartner's clients\. • Productized the solution into an internal tool for Client Service Associates, reducing manual effort by 75% and generating $1\.8M in annual cost savings\.

Data Science Intern at AXA Business Services, May 2017 \- Jul 2017 · 3 mos, Bengaluru, Karnataka, India, Analyzed the factors affecting the pricing of flight tickets\. • Collected data from Online Travel Aggregation websites by screen scraping\. • Carried out multivariate analysis on factors affecting flight prices and applied predictive models, achieving an accuracy of 0\.89\.

Summer Intern at Edelweiss Securities Limited, May 2016 \- Jun 2016 · 2 mos, Mumbai, I developed an in\-house Transaction Cost Analysis Engine to visualise transaction costs incurred by traders and generate insights\.

## Education

Bachelor of Technology \(B\.Tech\.\), Electrical, Electronics and Communications Engineering, Indian Institute of Technology, Kharagpur

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

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