Anusha Chowdhury

CEO

Sunnyvale, California, United States8 yrs experience
Highly Stable

Key Highlights

  • Led product strategy for self-driving technology.
  • Achieved significant cost savings in testing processes.
  • Simplified onboarding for businesses, driving rapid growth.
Stackforce AI infers this person is a Product Manager with strong expertise in Automotive and Messaging industries.

Contact

Skills

Core Skills

Product StrategyMachine LearningSoftware Infrastructure

Other Skills

A/B TestingAPI TestingCC++CSSData-driven Decision MakingDeep Neural Networks (DNN)Go-to-Market StrategyHTMLJavaJiraProduct DesignProduct Road MappingProduct VisionPython

About

Passionate about leading innovative product concepts from 0-1 through product strategy, market trends analysis, user research and design thinking. Passionate about driving impact, learning new skills every day and building strong relationships with peers. Have ~7.5 years of product management and software engineering experience, in the areas of conversational commerce, self-driving, machine learning, API development and security.

Experience

Paypal

Agentic AI Product Lead

Jan 2025Present · 1 yr 2 mos · New York City Metropolitan Area

  • Shaping the future of agentic commerce at PayPal.

Aurora

Senior Product Manager

Apr 2023Jan 2025 · 1 yr 9 mos · Mountain View, California, United States

  • Product: Aurora Driver (Aurora Driver is a self-driving system with a common core of hardware and software designed to adapt to a broad set of vehicle types)
  • Goal: deliver the benefits of self driving technology safely, quickly and broadly
  • Verification and validation: Led product strategy for verification and validation of the Aurora Driver. This was critical to ensure requirements are met via artifacts (tests, documents etc.) for nominal and off-nominal driving scenarios for quarterly launches.
  • Simulation tools: Owned product vision and requirements for multiple features for Driver simulation tools in order to operationalize the strategy for verification and validation.
  • Autonomy data: Managed company wide programs for testing of the motion planning systems, which helped close safety case claims for the company.
  • Cost savings: Developed strategies for cost savings for test set management which helped save ~1.4 million dollars annually. This involved initiating changes to optimize the Driver release process.
Product StrategyProduct Road MappingJiraData-driven Decision Making

Google

Product Manager

Sep 2019Mar 2023 · 3 yrs 6 mos · Mountain View, California, United States

  • Product: Google Business Messages (Business Messages is a rich, asynchronous messaging service that enables users to engage with brands from a variety of entry points, including Google Search, Maps, Ads, and the brand's own channels)
  • Goal: enable businesses to connect with customers directly via rich messaging
  • Merchant and Partner Onboarding: Owned product vision and product strategy to simplify merchant and partner onboarding on Business Messages. Reduced onboarding time from ~6 days to instantaneous via automation. Owned merchant and partner consoles, and launched new features such as streamlined registration, helper bots, versioning of messaging agents, supporting automated imports from Google My Business accounts. Designed north star metrics, collaborated with business development teams and onboarded new customers (including large brands, SMBs and partners) on the channel.
  • Growth: Led GTM strategy for targeting certain verticals and markets. Drove ~10x merchant growth (including large brands and SMBs) for the product, which led to ~5x session growth for messaging volume on the channel. Collaborated with Shopping, Search and Ads teams for unlocking new entry points for the product. Collaborated with stakeholders across multiple orgs at Google, handled shifting priorities, conducted pilot programs and evaluated metrics prior to rollout.
  • Conversation quality: Led product roadmap for platform features to improve the speed, efficiency, quality and privacy of conversations on the channel. Led consumer UXR studies and interviewed merchants and partners to prioritize key features on the channel. Aligned multiple cross-functional teams and led these features from design to implementation, testing and launch: HIPAA compliance (unlocked health vertical on the channel), Handover protocol (allowed multiple partners to collaborate on the channel), File sharing on the channel, Conversational AI powered by DialogFlow.
Product StrategyProduct DesignProduct VisionUsability TestingUX ResearchGo-to-Market Strategy

Linkedin

2 roles

Software Engineer

Jun 2018Sep 2019 · 1 yr 3 mos · Sunnyvale

  • Product: LinkedIn Recruiter Search (a specialized tool designed for recruiters and hiring professionals to find and engage with potential job candidates on LinkedIn)
  • Designed, trained, validated and deployed ML models (neural network based models) to improve ranking of relevant candidates in Recruiter Search. This improved the performance significantly from the base model (measured by p-value).
Software DevelopmentMachine LearningDeep Neural Networks (DNN)A/B Testing

Software Engineer Intern

May 2017Aug 2017 · 3 mos · Sunnyvale

  • Team: Developer Platform Team
  • Product: Developer Portal (developer.linkedin.com) for third party app integrations
  • Developed REST APIs to support Sign in with LinkedIn features on LinkedIn’s developer portal for seamless third party app integrations (API versioning, authentication, webhooks, etc.) Led internal migrations for the team for GDPR compliance.
Software InfrastructureREST APIsAPI TestingSoftware Development

Juniper networks

Software Engineer Internship

May 2016Jul 2016 · 2 mos · Bangalore

  • Team: Security Business Unit
  • Implemented white-box testing techniques and improved test coverage for Deep Packet Inspection (DPI) services for ApplD product, which was part of Juniper Networks' next-generation firewall (NGFW) products.

Microsoft research

Security Research Intern

May 2015Jul 2015 · 2 mos · Bengaluru Area, India

  • Team: CSAM group
  • Research area: Cryptography and Security
  • Explored minimum-leakage DFA-based solutions for regular expression searchable encryption.

Education

Cornell University

Master of Science (MS)

Jan 2016Jan 2018

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2012Jan 2016

University of California, Berkeley, Haas School of Business

Executive Certificate Product Management Studio — Product Management

Jan 2022May 2022

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