Nitish Murthy

About Nitish Murthy

I love creating and leading technology product and development teams - enabling them to do their best work and building products that make a real impact in customers lives.I have over 10 years experience in leading product management and product development with a focus on customer experience.I have been a part of teams that have built and launched successful products in areas of embedded, voice applications, cloud, big data & analytics services. Some awesome products I helped create and launch include:• Alexa, Google voice applications for Toyota and Lexus. Led the conceptualization and development of the smart access solutions for connected mobility.• Thomson Reuters tax solution for 1099 forms for brokerages. New B2B product with $5M+ revenue over the first 5 years• Thomson Reuters CX analytics platform, allowing marketing to generate insights over the entire customer lifecycle of over 1M+ attorneys. This allowed integration of marketing, product, and billing data to generate custom insights.• Created and launched BoomBoard project that enabled Texas Instruments to be a leader in haptic community powered innovation. Highest selling development kit on TI e-store in the year 2014.• Led the innovation and productization of the TI digital ANC solution. This powered the largest selling headphones in the market. Main Specialties :• Product Management & Strategy• Customer Experience• Engineering Management & Leadership• Voice apps & product development (Across multiple Languages)

Experience

1. Product Manager

   Google

   Feb 2021 — Present · San Francisco, CA, US

   Role 1: Product Lead - Multimodal AI Platforms (Google)Dates: April 2024 – PresentLead the platform strategy for Google\'s Multimodal Content Understanding powering services like (Magi, Lens, Discover). Scaled multimodal integration capabilities by 4x, contributing to +x% in DAU & +yy%in MHAP. Gen-AI Leadership: Led Tooling for Model Adaptation (LoRA) and Prompt Engineering to define the \"Model Hub\" for prompt driven usecases.Role 2: Product Lead - Google Assistant (Automotive)Dates: 2022 – 2024Led Quality and Reliability for Assistant on Auto, focusing on driver safety and interaction rates.Usage Growth: Increased Assistant-Auto usage by 10% and retention by 4% by overhauling \"Hotword\" reliability in diverse acoustic environments.0-1 AI Feature: Shipped a Gen-AI text summarization feature that extracts intent-based actions (e.g,\"Navigate to location\") from messages, reducing driver distraction.Regulatory Lead: Served as DMA Compliance Lead for Auto Surfaces, aligning product contours to navigate complex regulatory frameworks.Role 3: Product Lead - Google Cloud (GCVE)Dates: Feb 2021 – 2022Led Demand Management and Capacity Planning for Google Cloud VMware Engine.Hyper-Scale: Enabled business scaling from $12M to $100M ARR while achieving profitability by positioning the product for the data workload segmentML Optimization: Replaced ad-hoc demand projection with ML-based prediction models, critical for managing supply during the global semiconductor shortage.

Education

• London Business School

  Master of Business Administration (MBA)

  2014 — 2016

• The University of Texas at Dallas

  Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering

  2005 — 2009

• Savitribai Phule Pune University

  Bachelor of Engineering (BE), Instrumentation and Control

  2000 — 2004

Skills

• Testing
• Sensors
• Matlab
• Simulations
• Digital Signal Processing
• Product Management
• Strategy
• Algorithms
• Machine Learning
• C
• Business Strategy
• Low Power Systems
• Statistical Signal Processing
• Digital Signal Processors
• Management
• Product Development
• Analysis
• Embedded Systems
• Embedded Software
• Speech Recognition
• Speech Processing
• Signal Processing
• Pattern Recognition
• Project Management
• Audio Processing
• Product Innovation