S

Surabhi Agarwal

CEO

San Francisco, California, United States10 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led AI initiatives at Amazon, driving significant cost reductions.
  • Doubled customer base for Alexa AI through strategic partnerships.
  • Developed innovative solutions, enhancing product performance and user experience.
Stackforce AI infers this person is a Product Manager specializing in AI and Cloud Computing solutions.

Contact

Skills

Core Skills

Product StrategyAi DevelopmentInfrastructure ManagementProduct ManagementSoftware Development

Other Skills

Generative AILLMAI PartnershipsPricing StrategyInfrastructure OptimizationUser ResearchCompetitive AnalysisTraffic-Pattern AnalysisAI Developer PlatformProduct-Market FitCustomer ExpansionPlatform DevelopmentCost ReductionRoadmap BuildingCustomer Feedback

About

I am seasoned Product Manager working on Amazon Gen AI initiatives. I have 4 years of product management experience where I have managed big services like EC2 Auto Scaling and scaled 0 to 1 projects in Alexa AI.

Experience

10 yrs 5 mos
Total Experience
2 yrs 1 mo
Average Tenure
4 yrs 8 mos
Current Experience

Amazon

2 roles

Product Leader at Amazon General Intelligence

Promoted

Oct 2023Present · 2 yrs 8 mos

  • Agents/Developer Vision Definition: Defined model capabilities, developer experience, and agentic tools—including in-built and out-of-box options such as MCP—for Amazon’s LLM (Nova) through surveys, user research, competitive analysis, and third-party benchmarking, driving a 20% increase in software-development use cases.
  • AI Partnerships: Partnered with Amazon Q, Prime Video, Amazon Books, AWS, and Ads teams to gather and prioritize Generative AI use cases; collaborated with science and engineering on requirements for latency, accuracy, context size, data privacy, RAG, agents, fine-tuning, and search.
  • LLM Pricing: Positioned Nova models by accuracy, latency, and feature set, and optimized model variants to price them 20% below competitors while maintaining positive infrastructure margins.
  • LLM Infrastructure: Cut Nova infrastructure costs 20% by improving hardware utilization through traffic-pattern analysis, input/output ratio tuning, and precise latency and throughput targets.
  • LLM Evaluations: Streamlined the evaluation pipeline by automating data collection with internal Amazon tools, forming an internal feedback cohort, and scaling feedback via third-party vendors and open-source chat arenas—reducing the SFT and RLHF lifecycle 30%.
  • International Expansion: Drove expansion of Nova models in 20+ global locales by identifying high-ROI markets, creating placement strategy via customer use cases, and leading capacity and headcount discussions across AGI, EC2, and Bedrock.
Generative AILLMAI PartnershipsPricing StrategyInfrastructure OptimizationProduct Strategy+1

Senior Product Manager Technical at Alexa AI

Oct 2021Present · 4 yrs 8 mos

  • Alexa Small and Medium Business Onboarding : Identified product-market fit for a prototype AI that builds Alexa capabilities for SMBs; ran multiple betas and explored 5 application areas.
  • International Expansion: Doubled both 1P and 3P customer base across 7 locales by partnering with business development teams, agencies, and direct customers to grow Alexa Conversations.
  • AI Developer Platform: Delivered a unified platform combining capabilities from multiple isolated AI products within the Alexa AI organization, cutting operational costs 50% and providing a single cohesive solution for all internal 1P customers.
AI Developer PlatformProduct-Market FitCustomer ExpansionProduct StrategyAI Development

Amazon web services (aws)

Senior Product Manager Technical at AWS

Apr 2020Oct 2021 · 1 yr 6 mos · Seattle, Washington, United States

  • Roadmap Building: Defined 18 months roadmap for Auto Scaling by looking into feature requests, conducting 50+ interviews for big customers and surveying long tail customers. Created a monthly voice of customer meeting to get feedback from GTM, doc and support teams to make sure customer needs are prioritized timely.
  • Growth Strategy: Successfully launched 6 Auto Scaling integrations with other AWS products. Worked with 6 different Product Managers to define customer experience for these integrations and aligned engineering teams to make sure the projects run smoothly across teams.
  • New Product Development: Developed and defined a new Auto Scaling feature called Warm Pools which allowed customers to scale faster and save 30% of their compute costs. Outlined 2 year feature roadmap to cover all usecase and future requirements from customers.
  • UX Redesign: Conducted 20+ UX research sessions with current auto scaling customers and organized 2 health study sessions with UX team to determine problems in overall user flow for auto scaling. Worked with UX researcher to simplify overall console experience for both nascent and mature users.
  • Tech Prioritization: Worked with engineering team to identify and prioritize major operational pains points that might impact service availability and reliability. Prioritized 5 of such features in 2021 roadmap to reduce the operational burden.
Roadmap BuildingCustomer FeedbackFeature DevelopmentProduct Management

Kearney

MBA Student Consultant

Aug 2019Dec 2019 · 4 mos · Greater Pittsburgh Area

  • Developed a strategy for a client to reduce environmental impact and improve sustainability by increasing the proportion of electricity consumption from renewable energy sources.

Juniper networks

MBA Summer Intern

May 2019Aug 2019 · 3 mos

  • Strategic Thinking: Identified root causes for exceeding allocated budget across multiple feature rollouts. Improved scoping process, and developed strategy for efficient workforce allocation and automated effort estimation. Forecasted annual savings in operating costs by $10M, increasing the profit margin by 10%.
  • Product Development: Launched HealthBot service on Contrail Cloud for a 10M worth customer by evaluating on-premise and cloud infrastructure. Created a product requirements document and defined success metrics to measure product performance. Collaborated with the Sales team to deploy the service on 5 customer environments.
  • Customer Experience: Identified 5 key metrics and trends to measure the success of sales projects. Collaborated with multiple teams to develop new field satisfaction surveys. Established baseline for customer satisfaction by analyzing customer’s feedback and provided recommendations to enhance customer satisfaction by 30%.
Strategic ThinkingProduct DevelopmentCustomer ExperienceProduct Management

Walmart ecommerce

Senior Software Developer

Jul 2017Jul 2018 · 1 yr

  • Customer Focus: Surveyed 300+ store managers to evaluate the new requirements for markdown systems. Redesigned the price markdown approval process to eliminate the bottleneck of a single approval owner and increased efficiency of the approval process by 30%.
  • Innovation & Vision: Spearheaded Walmart’s dynamic price matching initiative in US, Canada and Mexico by developing a framework to capture prices for 2 million Walmart catalog items across 7 competitors. Analyzed the data to identify KPI trends and increased Walmart’s revenue in general merchandising by 30%.
  • Cross Functional Collaboration & Negotiation: Coordinated with 7 teams (e.g. UI and UX) to design and implement a single sign-on platform. Gained buy-in from 37 teams and migrated them to newly developed platform, improving the ease of use for Walmart’s store managers and reducing data storage requirements by 50%.
  • Initiative & Ownership: Recognized the need to improve Walmart’s retail store shelf utilization system, including the price discount process, by creating alerts to be generated ahead of system failures. Presented to Product Managers and obtained approval for implementation. Reduced losses from system failures by $20M annually.
Customer FocusInnovationCross Functional CollaborationSoftware Development

Oracle

Software Engineer

Jun 2014Jun 2017 · 3 yrs · Bangaon, West Bengal, India

  • Leadership: Led significant redevelopment of a major component in Oracle’s “Application Development Framework” (ADF). Assisted in onboarding Indian Railways to use this component for website development, thereby earning a $10M contract for Oracle.
  • Creativity & Curiosity: Identified the need to develop an automated documentation system. Researched potential technologies and designed a robust and intelligent documentation system to automatically generate documentation from developers’ code, saving $10M annually.
  • Ownership & Result Driven: Investigated the loss of productivity due to manual evaluation of build failures. Created an algorithm to recognize the failures and provide a solution, thereby saving Oracle $20M annually.
LeadershipCreativityOwnershipSoftware Development

Infosys

Intern

May 2013Jun 2013 · 1 mo

  • Worked on Feed File Synchronization with DataBase

Education

Carnegie Mellon University - Tepper School of Business

Master of Business Administration - MBA

Jan 2018Jan 2020

Indian Institute of Technology (Banaras Hindu University), Varanasi

May 2010May 2014

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology (BTech)

Jan 2010Jan 2014

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