Taimur Rashid

Managing Director, Frontier AI Engineering & Services | Engineering AI-Native Organizations | Investor in Frontier Data & AI

Bellevue, Washington, United States16k followers
Amazon Web Services (AWS)ex-Kinderingex-Recursion Ventures

For more than two decades, I’ve worked at the intersection of cloud computing, data platforms, artificial intelligence, and human

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I lead Go-to-Market and Product for the AWS Forward Deployed Engineering (FDE) unit I describe this emerging discipline as Frontier Deployment Engineering: it is the discipline of engineering AI-native organizations by orchestrating software, context, agents, graphs, workflows, evaluations, governance, and human expertise into deployed systems that continuously produce business Our mission extends beyond deploying AI. We help organizations redesign business workflows, modernize legacy systems, build contextual understanding, and establish the governance needed for AI to operate responsibly at enterprise scale. The goal is customer self-sufficiency, where organizations continue to learn, adapt, and innovate long after an engagement I believe the next decade will be defined by who can build the most intelligent organizations.

Career Timeline

JobSchool

GTM Index

  1. AMAZON WEB SERVICES (AWS)JOB
    1. Managing Dir for GTM, Fron…
      1M
    2. Managing Dir, Generative A…
      2Y
    3. Dir of GTM (GTM) AWS Platf…
      2Y 4M
    4. Senior Mgr, BD - AWS Platf…
      1Y 9M
    5. Senior Mgr, BD - Compute S…
      2Y 2M
    6. Sr. BD Mgr - Database Serv…
      1Y 1M
    7. Tech Sales Rep
      2Y 2M
  2. WEAVIATEJOB
    1. Advisor
      2Y 8M
  3. KINDERINGJOB
    1. Board Member
      2Y 11M
  4. RECURSION VENTURESJOB
    1. Founding Partner
      2Y 4M
  5. REDIS LABSJOB
    1. EVP of Artificial Intellig…
      1Y 5M
    2. Chief BD Officer
      1Y 4M
  6. MICROSOFTJOB
    1. GM & Head of Solution Arch…
      1Y
    2. General Mgr, Customer Succ…
      1Y 11M
  7. ORACLEJOB
    1. BD Mgr, Platform Products
      6Y 1M
  8. VIGNETTEJOB
    1. Eng
      1Y 6M

Time in market 25YOpen 5Closed 13Stints 18

gtmindex.io/p/taimurrashid

  1. Job: Amazon Web Services (AWS) — Managing Director for GTM, Frontier AI Engineering & Services · 2026-07 – present — Lead GTM for AWS’s Frontier AI Engineering & Services team. Our approach is based on an emerging discipline that entails building AI-native organizations through expert practitioners, AI agents, and reusable enterprise artifacts. Backed by a $1 billion investment, this approach is agentic-first, compresses delivery timelines from months to days, and is designed so customers become self-sufficient after each engagement.
  2. Job: Amazon Web Services (AWS) — Managing Director, Generative AI Innovation Center · 2024-08 – present — The Generative AI Innovation Center is a specialized team for advancing organizations into the era of cognitive abundance. We are a multidisciplinary team of AI strategists, applied scientists, forward deployment engineers, and solution architects, united by a mission to unlock the transformative power of AI. Operating with the agility of a startup incubator, we partner closely with both enterprises and startups to accelerate the path from innovation to production; delivering discrete business value and helping our customers build, deploy, and scale generative AI solutions with confidence.
  3. Job: Weaviate — Advisor · 2023-12 – present
  4. Job: Kindering — Board Member · 2022-04 – 2025-03 — Kindering provides education, therapy and support for children with disabilities or developmental delays; and their families from birth to 3 years of age.
  5. Job: Recursion Ventures — Founding Partner · 2022-04 – 2024-08 — Recursion Ventures is a boutique consulting firm based in Bellevue, Washington, partnering with entrepreneurs building amazing companies. We provide business consulting services (GTM strategy, business development, and commercialization of emerging technologies) to early stage startups. Investments include: -fal.ai, LlamaIndex, Sidekick Browser (Perplexity), Opsverse.io (StackGen), Layer.ai, Bauplan Labs, Argilla (Hugging Face), Katanemo (Digital Ocean), Augmend (DataDog), Fennel AI (Databricks) Clients included: - Argilla (Hugging Face), Kyron Learning, Symbl.ai, Superlinked and Weaviate
  6. Job: Redis Labs — EVP of Artificial Intelligence · 2022-05 – 2023-10 — Established and led Redis's AI/ML division and getting the company to catch the Generative AI wave with the introduction of the Redis real-time inferencing and vector database. Managed entire division from engineering, product management, marketing, developer advocacy, GTM and partnerships. Secured Redis as one of the first vector databases supported on NVIDIA, Intel, OpenAI, Cohere, Azure ML, and Amazon Bedrock. Developed solutions for generative AI including RAG, long-term memory, and semantic caching for LLM based applications. Incepted and launched Redis VL - a critical client library to drive adoption of Redis's vector database and search technology.
  7. Job: Redis Labs — Chief Business Development Officer · 2021-01 – 2022-05 — As Chief Business Development Officer at Redis I contributed to the company's IPO readiness: developer and enterprise company rebranding, executive sponsorship with cloud and AI partners, and S-1 process. During this time I also developed the AI/ML strategy for Redis.
  8. Job: Microsoft — GM & Head of Solution Architecture & Customer Engineering for Azure Data & AI · 2020-02 – 2021-02 — Responsible for global solution architecture and customer engineering strategy and execution for multibillion-dollar Azure Data & AI business (inclusive of Microsoft SQL Server, Azure SQL DB, Azure Synapse Analytics and Databricks, and Azure AI and ML services). Had functional responsibility for a global team across Microsoft's 14 subsidiaries, enabling customers across segments, industries and geographies for cloud data migration, data modernization and digital transformation initiatives. Formed emerging AI customer engineering team to co-architect and co-develop AI solutions with enterprise customers on Azure.
  9. Job: Microsoft — General Manager, Customer Success of Intelligent Cloud · 2018-03 – 2020-02 — Brought in to lead formation, strategy and execution of newly formed customer success unit for Microsoft’s Intelligent Cloud which included Azure Apps & Infra and Data & AI. Focused on driving cloud adoption and revenue across Microsoft's strategic and enterprise customers. Established Azure Well-Architected program in collaboration with Azure engineering teams, and rolled out program globally to customers and partners.
  10. Job: Amazon Web Services (AWS) — Director of Go-To-Market (GTM) AWS Platform · 2015-10 – 2018-02 — Led the global business development and GTM team supporting AWS's entire platform including Infrastructure (compute, storage, networking), Database Services (Relational, NoSQL, Analytics), Developer Tools (CI/CD, Containers, Serverless), Emerging Tech (AI/ML, AR/VR), Enterprise Applications and Security.
  11. Job: Amazon Web Services (AWS) — Senior Manager, Business Development - AWS Platform · 2014-01 – 2015-10
  12. Job: Amazon Web Services (AWS) — Senior Manager, Business Development - Compute Services · 2011-11 – 2014-01
  13. Job: Amazon Web Services (AWS) — Sr. Business Development Manager - Database Services · 2010-10 – 2011-11
  14. Job: Amazon Web Services (AWS) — Tech Sales Rep · 2008-08 – 2010-10
  15. Job: Oracle — Business Development Manager, Platform Products · 2002-07 – 2008-08
  16. Job: Vignette — Engineering · 2001-08 – 2003-02
  17. School: The University of Texas at Austin — B.A., Computer Science
  18. School: Mercersburg Academy — High School

Skills

LinkedIn Business ManagerCloud ComputingProduct ManagementSolution SellingEnterprise SoftwareGo-to-market StrategyStrategic PartnershipsMobile DevicesProduct DevelopmentBig DataMobile ApplicationsPre-salesBusiness AlliancesSaaSCRMBusiness DevelopmentManagementAmazon Web Services (AWS)LeadershipStrategy

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