---
title: "Abhishek Dixit - Senior Product Manager (prev. Senior Software Engineer) in Bengaluru | Tal"
description: "Meet Abhishek Dixit, Senior Product Manager @ Microsoft | Big Data, Distributed Systems based in Bengaluru. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/abhishek-dixit/share-image"
---

# Abhishek Dixit on Tal

## Headline

Senior Product Manager @ Microsoft \| Big Data, Distributed Systems

## About

Senior Product Manager at Microsoft with 7\+ years of experience in large\-scale data and analytics platforms \(Cosmos, Synapse, Fabric\)\. Combines deep technical expertise in Spark and distributed systems with product strategy and customer engagement to drive performance optimization, platform reliability, and cost efficiency

## Location

Bengaluru

## AI stack

antigravity

codex

cursor

## Work experience

Senior Product Manager \(prev\. Senior Software Engineer\) at Microsoft, Feb 2021 \- Present · 5 yrs 7 mos, Bengaluru, Karnataka, India, Product Focus Areas: Big Data Platforms \(Apache Spark, Distributed SQL Engines\), Workload & Cost Optimization, Autoscaling, AI\-Native PM Workflows ○ Defined autoscaling strategy for Apache Spark on Microsoft Fabric aligned with infrastructure cost and reliability goals; led algorithm development that reduced cluster scaling costs by 22%, and complemented with support tooling that cut support\-ticket resolution time by 36%\. ○ Launched Single\-Node Spark Clusters in Microsoft Fabric, reducing platform infrastructure costs by 66%; led onboarding and technical validation with enterprise customers G42 and Societe Generale Insurance\. ○ Drove rollout of an early compute\-resource release feature across multiple Azure regions, gener ating ∼125K compute\-hours/day in savings \(∼$870K annualized\) across ∼110K jobs/day; built telemetry dashboards for tier\-by\-tier impact analysis\. ○ Grew adoption of an automated capacity\-allocation feature from 1% to 15% of total jobs on a flagship production cluster — a 10x adoption lift — by building customer segmentation analytics in Power BI, and targeting jobs verified immune to performance regressions; covered 18 large internal customer teams including Office and Bing\. ○ Built scalable customer\-engagement infrastructure \(Azure Logic Apps \+ Azure Data Explorer \+ alerting \+ Teams \+ Outlook\) for runtime deprecation, code migration, and feature\-rollout campaigns; reached 350\+ developer customers and drove deprecation of legacy user\-defined modules from ∼170 production jobs, unblocking a major platform migration\. ○ Designed and shipped an AI\-powered email auto\-reply system for Microsoft’s Cosmos platform discussion DLs, featuring a multi\-gate confidence pipeline \(classification, question extraction, answerability, hallucination detection\) that answers documented questions in under 60 seconds while preventing fabricated responses from reaching users\.

Software Engineer II at Qubole, Jul 2018 \- Nov 2020 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Product Focus Areas: Real\-time Streaming, Cluster Efficiency, Developer Tools ○ Product owner for Qubole Pipelines; led from beta to GA, earning Spotlight Award\. ○ Delivered core features like Test Runs, Record Filtering, Health Monitoring—used by all customers\. ○ Added SQS\-based faster S3 reads and Hive sink, used by 30%\+ of pipelines\. ○ Analyzed EC2 instance usage to optimize default configs—migrated r3 to r5, reducing customer costs by 26%\. ○ Onboarded clients including CVS, WWE, and Angel Broking; integrated early feedback into feature roadmap\.

Quantitative Equity Research Intern at MSCI Inc\., Jan 2018 \- Jun 2018 · 6 mos, Mumbai, Worked as an intern in New Product Development \(Index Research\) Team

Software Development Intern at Qubole, Jul 2017 \- Dec 2017 · 6 mos, Bengaluru, Karnataka, India, ○ Developed Structured Streaming User Interface for Apache Spark ○ Integrated Prometheus Monitoring Framework with Qubole Data Services

Research Intern at Indian Institute of Technology, Kanpur, May 2016 \- Jul 2016 · 3 mos, Greater Lucknow Area, ○ Worked under Dr\. Debayan Pakarashi, Professor of Behavioral Economics in IIT Kanpur ○ Worked on a research paper to estimate the impact of peer effects on health and obesity outcomes for college students in India\.

## Education

Bachelor of Engineering \- BE, Computer Science, Birla Institute of Technology and Science, Pilani

Masters, Economcis, Birla Institute of Technology and Science, Pilani

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

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