Pallavi Srivastava

About Pallavi Srivastava

I build AI-powered product experiences that transform how engineering teams plan, build, and ship software.As a Product Manager at Microsoft, I work at the intersection of AI, developer productivity, and large-scale enterprise systems—driving strategy and adoption for Azure DevOps–based experiences used across hundreds of teams.My work goes beyond shipping features. I focus on-Translating ambiguous problem spaces into clear, scalable product strategies-Driving measurable adoption and usage outcomes, not just launches-Turning user signals, telemetry, and feedback into actionable product decisions-Building cross-org alignment to deliver impact at scale

Experience

1. Product

   Microsoft

   Nov 2022 — Present · Bengaluru, IN

   Led product strategy and execution for AI-powered Azure DevOps experiences, driving adoption across multiple enterprise orgs and developer personas-Drove product adoption and engagement across ~150+ organizations by:• Identifying usage patterns and gaps through telemetry and feedback analysis• Designing targeted onboarding and awareness strategies• Enabling admins with actionable nudges and campaigns-Built data-driven product growth loops by leveraging usage analytics and feature-level insights to:• Increase repeat usage and feature discovery• Identify underutilized scenarios and expansion opportunities-Launched and scaled multiple features (e.g, ideation, bulk actions, board insights) with a focus on:• Clear value articulation per persona• Reducing friction in everyday workflowsPartnered cross-functionally (PM, Engineering, Design) to:• Translate ambiguous problem areas into structured product opportunities• Drive alignment across distributed teams and stakeholders-Led persona-driven product design (PMs, Developers, SREs) to improve:• Usability and discoverability• Task completion efficiency and experience simplicity-Owned end-to-end product lifecycle:• Problem discovery → roadmap definition → launch → adoption scaling-Influenced roadmap decisions using:• User feedback loops• Usage insights and feature analytics• Stakeholder and admin signals-Drove internal and external product storytelling, including:• Newsletters, campaigns, and admin engagement programs• Executive updates and adoption narratives

Education

• Indian Institute of Management, Kozhikode

  Master of Business Administration - MBA

• Massachusetts Institute of Technology

  Systems Engineering

• SRM IST Chennai

  Bachelor of Technology (B.Tech.), Computer Science and Engineering

• Massachusetts Institute of Technology

  Systems Engineering, Model based Sytems Engineering

• MIT Sloan School of Management

  Organizational Leadership