Aishwarya Nagarajan Email and Phone Number
Austin, TX, US
Aishwarya Nagarajan's Location
Austin, Texas, United States, United States
About Aishwarya Nagarajan
I am a seasoned product leader, technologist, strategist and investor with 14+ years of elite startup, venture capital and big tech experience, and have a proven track record of constraint-driven problem solving, leading teams through ambiguity and culture change, delivering to customers under tight deadlines. My mission is bridging cutting edge research and production at scale to serve user needs! Expert in AI/ML, LLMs, SaaS, Cloud, Consumer Devices. Current: Group Product Manager in Google Search, building multi-modal LLMs and developer tools, applied to products across Google's Search/Ads stack for recommendations and generative applications. Prior Experience: Senior PM Google Cloud, specializing in Machine Learning Infrastructure-as-a-Service (IaaS), virtualization, frameworks SW, solutions strategy, and MLOps. Principal PM, systems and software at Cerebras Systems, where we built the pioneering Wafer-Scale Engine and CS-1 system. Cerebras Systems was last valued at $4B and backed by Benchmark Capital. Venture Associate at BuildGroup and Mercury Fund. Developed investment themes in AI, Cloud, IoT, conducted due diligence, developed valuation models, and advised portfolio company CXOs. Product and Research engineering leadership positions in the smartphone industry (Qualcomm, Samsung R&D) as a computer architect, where I was fortunate to participate in the explosive growth of the smartphone and tablet markets first-hand and was a member of high visibility + growth teams that collectively delivered over 1 Billion chips to users. I enjoy volunteering, Board service, mentoring K-12 students interested in STEM careers and women's empowerment programs. I am always interested in new opportunities in this area. Specializations: Machine Learning, Artificial Intelligence, NLP, Computer Architecture, Consulting, Startups, Venture Capital, Product Management, Product Marketing, Competitive Analysis, Forecasting, Data Analytics, Data Science, Strategy, New Market Entry, Servers, Cloud, Data Center, IT, SaaS, Search, Recommender Systems, Ranking Algorithms, LLMs
Aishwarya Nagarajan's Current Company Details
Microsoft Ai
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Partner and Director of Product Management, Microsoft AI
Austin, TX, US
- Website:
- microsoft.ai
- Employees:
- 1072
- Company phone:
- 916.253.7820
Aishwarya Nagarajan Work Experience Details
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Partner And Director Of Product Management, Microsoft AiMicrosoft AiAustin, Tx, Us
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Group Product ManagerGoogle Nov 2024 - PresentMountain View, Ca, UsPersonalization of Google Search with Generative AI, Retrieval and Recommendation Systems using LLMs and Large Embedding Models. Lead a team of PMs and own modeling, user data, ranking, feed and generative applications, evaluations, legal/policy, trust and safety, UX. -
Senior Product Manager, Google SearchGoogle Oct 2022 - Nov 2024Mountain View, Ca, UsI am now innovating and improving Google's Search Products, with cutting edge Machine Learning (LLMs text and multimodal). • Lead PM on developer platform for Large Language Model (LLM)-based generative AI and discriminative applications (classification, regression, ranking, retrieval) for Google Search and related products; scope includes instruction tuned, multimodal and personalization models, APIs, retrieval augmentation, prototyping and customization tools. Recipient of Google Tech Impact Award in 2023. • Conceived and operationalized client engagement model, consisting of forward deployed engineering for frontier clients, and self-service for torso and tail clients. • Implemented programmatic controls for data usage, user trust and safety policy compliance; experienced in DMA5(2) and GDPR. • Directing investments and cost effectiveness strategies for ML compute infrastructure, a key initiative for the CEO and CFO offices.
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Senior Product Manager, Google CloudGoogle Apr 2022 - Oct 2022Mountain View, Ca, Us• Managed team of 3 PMs and 120+ SWEs• Landed $XXXM ARR, owned revenue ops and managed $XXXM P&L, $XB Capex, $xxxM Opex• Owned and drove 1P/3P partnerships, virtualization and application SW, UX and solutions strategy. Advised corporate development team with investments in full stack AI/ML and web3 space. • Solved key and pernicious problems (uptime, networking, security) in this space, with a customer focused-mindset.
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Product Manager, Google CloudGoogle Oct 2020 - Apr 2022Mountain View, Ca, Us• Developed strategy and business case, obtained cross-organizational alignment across three distinct product areas - TI, GCP, Deepmind - within Google, and owned roadmap for GCP’s Nvidia and AMD GPU IaaS and PaaS offerings, expected to generate $XB in lifetime revenue. • Conceptualized, secured funding, and manage day-to-day operations for GCP’s high-performance Machine Learning and Analytics infrastructure + virtualization APIs for transformer based NLP, multi-modal, simulation workloads; PM for team of 120+ SWEs and HWEs.• Scaled team to enable 800% YoY revenue growth amidst historic silicon supply shortage by re-building organizational structures in engineering, product, sales, operations, vendor supply chain and commodity management.• Conceived and executed on "tweener" NPI and horizontal technology strategies, minimizing operating expenses & time-to-market and met the highest quality bars for GCP's largest ML customers.
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Angel InvestorSelf-Employed Oct 2020 - PresentGoogle for startups advisorNote: I will not accept inbound solicitations on LinkedIn
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Member Board Of DirectorsAdoptaclassroom.Org Oct 2023 - PresentMinneapolis, Mn, UsServe on Tech and Strategic Planning Comittees -
Member Board Of DirectorsRefugee Services Of Texas Feb 2023 - PresentDallas, Tx, UsServe on the internal ops committee (finance, human resources) -
Principal Product Manager - Systems And SoftwareCerebras Systems Jun 2019 - Sep 2020Sunnyvale, California, UsI was the third product manager hired, and led systems + software at Cerebras Systems, where our team of computer architects, computer scientists and deep learning researchers are building a new class of computer system to accelerate artificial intelligence by orders of magnitude. We defied all the odds to build and scale the Wafer-Scale Engine and CS-1 system. • Managed all aspects of system design, hardware, networking, diagnostics, embedded and security software for deep learning accelerator devices containing world’s only wafer-scale integrated chip, in conjunction with C-suite and engineering leadership• Executed multiple customer engagements ($10-40M) , across enterprise, government HPC and academia; gathered requirements, generated PRDs and external documents, guided feature prioritization and delivery • Program manager for DARPA Digital RF Battlespace Emulator (DRBE) project, a 4-year multi-million dollar initiative • Led deployment and integration into the Lassen supercomputer at Lawrence Livermore National Lab, no. 10 on the top500 supercomputer list. Also led first deployment at Argonne National Lab• Managed subscription and lump-sum licenses; assessed secondary growth verticals of size $10B+• Created product road maps for advanced R&D teams by conducting extensive interviews with existing and potential customers, building analytical models to project use case requirements, and forecasting industry and competitive landscape• Devised and launched strategy for bringing firm out of stealth at leading Hardware, Systems and ML industry conferences• Developed, maintained and strengthened business relationships with existing and potential customers and partners• Owned company revenue forecasting model, system sales and GTM + partnershipsJob tags: product management, prioritization, execution, infrastructure IT, hardware, software, systems, business development, product marketing, corporate finance -
Associate (Venture Fellow)Buildgroup Sep 2018 - Feb 2019Austin, Texas, UsConcurrent with my MBA, I was a Venture Fellow at BuildGroup, which is an evergreen growth equity fund with AUM of >$300M.• Conducted deal sourcing, screening and due diligence for multiple investment opportunities (sizes ranging from $10-$30M)• Compiled research briefs on Business Intelligence, Data Science and Managed IT Services markets• Product managed proprietary machine-learning based deal flow software Job Tags: Venture Capital, Startups, Strategy, Competitive Analysis, Due Diligence, SaaS, Data Science, Cloud, AI, Business Intelligence, Managed service providers -
Co-Founder, Head Of Bizops And StrategyRevolution Computing Nov 2016 - Nov 2018I co-founded a high-performance RISC-V design startup aimed at Machine Learning acceleration - both classical ML and Deep Learning. Part of NSF I-corps Spring 2017 and granted $1.1M from NSF, MassChallenge and SBIR. Developed product concept, assessed market size and competition, maintained finances, pitched >100 potential customers, and built relationships with GTM partners and over 50 VC firms in Texas and the Bay Area. -
Associate (Venture Fellow)Mercury Dec 2017 - Sep 2018Houston, Texas, UsConcurrent with my MBA, I was a Venture Fellow at Mercury Fund (www.mercuryfund.com), an early-stage venture capital firm with over $200 million under management, investing in SaaS, cloud, AI and bioscience-based startups in the U.S. Midcontinent. • Conducted deal sourcing, screening and due diligence for multiple investment opportunities (sizes ranging from $1M-$8M)• Assessed new target markets, guided entry strategy and created technical marketing materials for portfolio companies• Compiled research briefs on AI, Blockchain, Business Intelligence, API management and Immuno-OncologyJob Tags: Venture Capital, Startups, Strategy, Technical Marketing, Research, Academia to Industry, Competitive Analysis, Deals, Due Diligence, SaaS, Data Science, Cloud, AI -
Product Manager, Data ScienceMercury Data Science Jan 2018 - Aug 2018Houston, Texas, UsMercury Data Science is a boutique consulting firm offering state-of-the-art Machine Learning solutions for clients’ complex problems. I helped the firm in its early stages and was Product Manager and developer for NLP models. • Developed custom algorithms for clients in energy, biosciences, retail and PR sectors using machine learning techniques (Natural Language Processing, autoencoders, multi-level models and ensemble methods) • Improved organic impressions 6x and cultivated four new leads via online marketing and business development tactics• Researched and provided guidance on data security methods and standards https://www.mercuryds.com/https://twitter.com/MercuryDataSciJob Tags: Machine Learning, Supervised and Unsupervised Learning, Natural Language Processing, Word2Vec, Theano, RNNs, LSTMs, autoencoders, multi-level models, ensemble methods, anomaly detection, fraud detection, feature engineering, Python, SQL, Tensorflow, C++, R, Keras, Octave, AWS EC2, AWS S3, Tweepy, Twitter API, Tableau, Spotfire, Dotmatics, JIRA, Monday, Bitbucket, Product Management, Marketing, Project Management, Consulting, Revenue Management, Dynamic Pricing, Business Development, Data Security, Legal -
Investment Banking Summer AnalystBarclays Corporate & Investment Bank Jun 2017 - Jul 2017New York, Ny, UsPre-MBA internship stint in the TMT division -
Staff Architect & Tech Lead ManagerSamsung Electronics Nov 2014 - May 2017Suwon-Si, Gyeonggi-Do, KrSamsung Austin R&D Center (SARC) was created in 2010 as a strategic investment to design high performance, low power CPUs and GPUs for Samsung’s Galaxy and Note product lines. I started as an individual contributor and was promoted to tech lead manager in under a year.• Supervised six-person performance model and analysis team for Samsung’s proprietary coherent interconnect and memory controller IP, commercialized in Galaxy and Note product lines; 216M units sold worldwide• Drove feature evaluation (using C++, R, Verilog and Python), optimization and strategic decision making; achieved 18-20% YoY performance improvement; evaluated academic research in a production environment• Identified critical issues, conducted root-cause analysis and solved tactical design problems on time and on budget; granted accelerated promotion and Samsung President’s Award in recognition of outstanding efforts • Formulated fundamental processes for newly-founded team, including collaborative software development using git and JIRA; reduced bug report incidents by 112% and analysis turnaround time by 3xJob Tags: Semiconductors, technology, chip design, smartphones, computer architecture, agile software development, high growth, product design, debugging and problem solving, project management, operations, C++, Perl, Python, R, JMP, JIRA, Confluence, Object Oriented Programming -
Senior Engineer & Site Lead, Cpu Architecture And EnablementQualcomm Jul 2013 - Nov 2014San Diego, Ca, UsI spearheaded the Austin site expansion of the CPU architecture team, tasked with designing the company's first 10nm, 48 core ARM Server CPU.• Composed competitive analysis and forecasting reports for product management, marketing and strategy groups, showcasing 1.5x memory throughput and 2x power advantage over competitor CPUs (Intel, AMD, ARM)• Researched and adopted methodology to generate representative workloads while speeding up simulation time by 10xJob tags: Semiconductors, technology, chip design, servers, high growth, product design, debugging and problem solving, benchmarking, workload development, growth strategy, C++, Python, TLM, Boot up sequencing -
Senior Engineer & Project Lead, System Architecture Performance And PowerQualcomm Jun 2010 - Jul 2013San Diego, Ca, UsI managed performance and power for chipsets designed for smartphones, tablets and media processors, from product conception through launch. Close to 0.5B chipsets sold. Mentored several new employees as the team strength grew from 7 to 40 over three years.• Led cross-site teams designing smartphone chipsets (Snapdragon S4 8960 and Snapdragon 400 8930) for premium and emerging markets• Advised key customers (Samsung, Apple, HTC, Blackberry) on competitive landscape, power and user experience, resulting in actionable OS enhancements• Presented at weekly status reviews with executive management, provided supporting data and presentations to product management, marketing, strategy and analytics teams• Pre-silicon - Core, DRAM and interconnect model development, architecture exploration• Post-silicon - Validation of hardware models, CPU, memory and GPU benchmarking, competitive analysis, debugging performance bottlenecks, hardware/software performance optimizations, developing and validating power saving methodologies, validating techniques for mitigating process technology variations
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Graduate Research And Teaching AssistantUniversity Of Wisconsin-Madison Sep 2008 - May 2010Madison, Wi, UsI was a member of the Madison Embedded Systems & Architecture Group, Teaching Assistant for ECE 230 (Circuit Analysis, ~180 undergraduate students) at UW-Madison, and ECE 551 (Digital System Design, ~50 graduate students)• Designed Verilog modules to perform Galois field arithmetic to implement a network coded router; this is one of the fundamental operations in machine learning and blockchain computation• Contributed SHA and SHA2 cryptography benchmark modules to the ERCBench project• Published and presented research at ACM IEEE ANCS Symposium and FPL conferences• Received the UW-Madison 2010 Gerald Holdgridge Excellence in Teaching award. -
Project InternIndian Institute Of Technology, Delhi Dec 2007 - May 2008New Delhi, InI was one of three students in my class of 2000+ to be awarded a government research scholarship at the prestigious Indian Institute of Technology, Delhi. • Embedded microcontroller programming for LCDs and communications systems for a federal government commissioned tsunami-warning system.Job tags: Microcontrollers, LCDs, assembly programming, IIT
Aishwarya Nagarajan Education Details
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Texas Mccombs School Of BusinessTechnology Strategy -
The University Of Texas At AustinTechnology Strategy
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University Of Wisconsin-MadisonElectrical And Computer Engineering
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Vellore Institute Of TechnologyElectronics And Communications Engineering
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Tel Aviv UniversityDoing Business In Israel
Frequently Asked Questions about Aishwarya Nagarajan
What company does Aishwarya Nagarajan work for?
Aishwarya Nagarajan works for Microsoft Ai
What is Aishwarya Nagarajan's role at the current company?
Aishwarya Nagarajan's current role is Partner and Director of Product Management, Microsoft AI.
What schools did Aishwarya Nagarajan attend?
Aishwarya Nagarajan attended Texas Mccombs School Of Business, The University Of Texas At Austin, University Of Wisconsin-Madison, Vellore Institute Of Technology, Tel Aviv University.
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