Bhaskar Krishnan

CEO

Cupertino, California, United States25 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Drove 150%+ growth in TikTok's E-Commerce Vertical.
  • Built Flipkart's central AI platform from scratch.
  • Scaled Rakuten's R-Pay from 200K to 25M users.
Stackforce AI infers this person is a Fintech and E-commerce Product Executive with extensive experience in AI-driven platforms.

Contact

LinkedIn

Skills

Core Skills

Product ManagementE-commerceAdvertisingFintechData ScienceFinance

Other Skills

AI-powered productsMarketplace AcceleratorAd productsAI optimizationClient supportE-commerce strategyAd product developmentAI technologyVideo advertisingAds TransparencyML/AI platformsRevenue generationProduct developmentCross-functional leadershipUser trust management

About

My mission: democratize access to AI, Commerce, and FinTech -- and use that to drive real wealth creation and quality of life for people everywhere. The next wave of enterprise software runs on agents. I build the platforms underneath them. 20+ years across 5 iconic companies. One through-line: shipping AI systems, data infrastructure, and commerce platforms that operate at scale in production 1) Agentic Systems - Multi-agent orchestration, autonomous optimization, LLM-powered intelligence layers. TikTok Shop's agentic commerce stack. 150%+ GMV growth. 60M+ buyers. All in production. 2) ML and Data Infrastructure - Built Flipkart's central AI platform from zero -- feature store, training and serving pipelines, real-time inference across 300M+ users. The system that powered search, recommendations, ads, and fraud detection company-wide. 3) Commerce and Payments - Agentic checkout and loyalty orchestration at Rakuten (25M users). Privacy-preserving measurement at Meta ($2.5B+ in protected revenue). Merchant onboarding intelligence at Stripe (100+ countries) 4) Forward-Deployed Product- Embedded in the architecture review. In the model evaluation. In the production incident. Not just setting direction -- holding engineering accountable to it. 5) AI Governance and Trust Model provenance, audit trails for agent decisions, autonomy calibration, human-in-the-loop design. Built systems that hold under regulatory and enterprise scrutiny at Meta, Stripe, and TikTok. I also enjoy writing about what comes next: the Delegation Stack, Context Graphs, and the Universal Commerce Protocol -- frameworks for a world where AI agents are the primary participants in digital commerce.

Experience

Tiktok

Executive Head of NA Commerce Product

Dec 2024 – Present · 1 yr 3 mos · San Francisco Bay Area

  • Executive Leadership for NA Commerce Product, focusing on AI-powered products & platforms that drive advertiser ROI, merchant growth and creator monetization, while navigating complex data sharing & privacy requirements. Created a vision for Agentic Commerce and enabling advertisers & merchants to evolve to an Agentic world..
  • Drove 150+% growth in TikTok's E-Commerce Vertical, for top marketplace clients, optimizing AI across the entire Ads funnel. Built high-impact Marketplace Accelerator program delivering white-glove support to top commerce clients driving $1B+ ARR in 12-mos
  • Developed breakthrough ad products including Buy-With-TikTok, AI-powered image-to-video transformation, smart image selection, multi-card formats, and interactive video solutions that position TikTok at the forefront of video advertising while addressing the unique needs of commerce advertisers
AI-powered productsE-CommerceMarketplace AcceleratorAd productsProduct ManagementE-commerce

Meta

Product Leadership - Agentic Commerce & AI

Jan 2022 – Dec 2024 · 2 yrs 11 mos

  • Welcome to Ads & Commerce 3.0!!
  • Ads 1.0 was about Targeting & Personalization;
  • Ads 2.0 was building new Ads experiences at intersection of Privacy & Transparency!
  • Ads 3.0 is launching first-of-kind Ads & Shopping experiences to drive E-Commerce!!
  • 2023-Present: Building the E-Commerce Vertical!
  • Building the future of E-Commerce at Meta! Next-generation Ads products for the E-Commerce (& Retail) Verticals!
  • Drive $8+ Bn in revenue across Top advertisers globally and drive initiatives across 25+ PMs & 120+ Engineers across Perf Ads, Brand Ads, Creator Ads, New Product developments and Platform teams.
  • Drive Static & Dynamic Ads Creative Enhancements, Optimization and Integration across EComm, Creative & Guidance, Core Ads and Meta Family of Apps teams.
  • 2022-2023: Ads Transparency, Privacy & ML/AI
  • Managed the Ads Transparency and Ads Safety & Sensitivity teams at Meta, building user trust and improving sentiment about FB, Meta & our products
  • Led Meta's Ad Privacy teams. Launched WAIST 3.0, Meta’s regulatory response to EDPB, USO & other critical regulations. Built ML/ Gen AI platforms to filter sensitive data and power UGC (User Generated Content) Use in Ads, generating $1Bn+ Revenue
  • Lead Product hiring for Monetization, hiring 100+ PMs since 2022
  • RPM (Rotational PM) Champion at Meta & Monetization
  • Team Pulse of 97%
  • Social Ads
  • Creator Monetization
  • Generative AI
  • E-Commerce, Retail & Consumer Verticals
  • Ads Automation
  • HAIR/ Whale Advertisers
  • Premium Tech Engagement
E-CommerceAds TransparencyML/AI platformsRevenue generationProduct ManagementE-commerce

Stripe

Head of Product, Onboarding

Jan 2021 – Jan 2022 · 1 yr · San Francisco Bay Area

  • Led the Merchant Onboarding Product initiatives globally at Stripe. We onboard 200K+ merchants a month across multiple products.
  • Transformed the Direct Onboarding experience to delight users & merchants. Brought a customer-centric approach and redefining the Web Funnel and User Journey at Stripe. Personalized the user journey and guiding merchants along the Awareness, Activation, Engagement and Monetization stages
  • Own the platform that offers our partners Stripe capabilities in a SAAS or a Custom manner. The focus for the platform team is to inject intelligence into a data-flow, policy- and communication-heavy process
Merchant onboardingUser journey transformationCustomer-centric approachProduct ManagementFintech

Rakuten

VP, Chief Product Officer

Jan 2018 – Jan 2021 · 3 yrs · San Francisco Bay Area + Bengaluru, India · Hybrid

  • Chief Product Officer (CPO) for FinTech initiatives across Americas, Japan, and India, scaling R-Pay from 200K to 25M users (Japan's 2nd largest payments app) while building consumer and merchant monetization products. Built business plan and POC for Rakuten's US NeoBank (payments and cards platform targeting 20M+ customers)
  • Reported to President of R-Card and Global CTO. Managed 75+ member cross-functional team across engineering, product, and data science.
  • Highest Pulse Score (98) across Rakuten globally. Turned around the team from a low score of 32 & high attrition rate of 40%
  • Product-led Growth
  • Data, ML & AI
  • NeoBank
  • Payments
  • Merchants - Ads, Monetisation & Offers
  • Data Platform - Google BigQuery, Apache Spark
FinTech initiativesConsumer monetizationCross-functional team managementProduct ManagementFintech

Flipkart

Head of Product - Applied AI, Commerce & Ads

Jan 2015 – Jan 2018 · 3 yrs · Bengaluru Area, India

  • Joined as 17th employee in Flipkart Ads to lead Data. Built a rocket-ship that grew 250X in first year and almost 1000X over my stint at Flipkart. I managed all of Data, Analytics & Advertiser Products at Flipkart Ads and hired 200+ people as the Ads BU grew to 250 people over a 2-year span.
  • I was asked by the CTO to transform the Flipkart Data Platform from their platform approach to a User-Centric approach. I refocussed the team to User Insights & Identity and partnered with Digital Marketing, Growth, Home Page, Search & Personalization teams to drive growth, user adoption and increased conversions across the organic funnel
  • Flipkart Data Platform profiles for 150-mm users, across 100-dimensions and 100s of PB of Data. Rapidly moved from Batch- (1.0) to Daily- (2.0) to Real-time (3.0) processing & insights. Ingested data from several Bus & Tech stacks, created ML-models & insights about users & sellers and, built APIs for self-serve. Managed 30+ people across Product, Analytics & DS teams
  • Built BNPL & B2B/ Merchant Financing businesses from scratch, India's fastest growing FinTech business, now serving more than 5-10mm customers
  • Product-Led Growth
  • User Identity
  • ML & AI
  • Data Science
  • Consumer Insights
  • Fraud, Trust & Safety
  • Digital Marketing
  • Consumer Lending
  • Credit Score
  • Personalization
Data platform transformationUser insightsMachine learningProduct ManagementData Science

Yahoo

Product Lead, Ads & Data

Jan 2013 – Jan 2015 · 2 yrs · San Francisco Bay Area

  • Launched Ads Measurement & Analytics products like Yahoo Brand Index and Full Funnel Attribution Products to measure & shape Consumer Behavior
Ads measurementConsumer behavior analyticsProduct ManagementAdvertising

Credit suisse

GM, Director, Monetisation

Jan 2011 – Jan 2012 · 1 yr · New York, United States

  • Led Monetization globally for Credit Suisse’s Investment Products platform. Built this fastest growing business from scratch, across US, Europe & Asia, achieving $25mm ARR in less than a year
Monetization strategyInvestment productsProduct ManagementFinance

Barclays

GM, Director, Monetisation

Jan 2002 – Jan 2011 · 9 yrs · Greater New York City Area

  • Led Monetization & Product for Capital Markets & Investment Products business, across 15+ products & $200mm ARR
  • Built Prime Brokerage & Risk Management for Capital Markets, fastest growing businesses at Barclays
Capital marketsRisk managementProduct ManagementFinance

Standard & poor's

GM, Senior Product Manager, New Products

Jan 2000 – Jan 2002 · 2 yrs · Greater New York City Area

  • I built S&P's non-Equity index business, currently generating 40% of index revenues
Non-equity index businessRevenue generationProduct ManagementFinance

Education

Indian Institute of Management, Ahmedabad

MBA

Jan 1998 – Jan 2000

Indian Institute of Technology, Madras

B.S.

Jan 1994 – Jan 1998

Padma Seshadri Bala Bhavan

Jan 1981 – Jan 1994

psbb

Jan 1981 – Jan 1994

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