AI Product Manager

Bristol / Full-Time

The use of machine learning to reimagine software and services development is exploding. Companies from every corner of the industry - the biggest cloud service providers to corporate industrials to financial services to healthcare to retailers are exploring new ways of building products and services using data-centric learning models in place of traditional explicit programming. The drive to deliver more timely and accurate results is compelling an ever greater need for specialized computing power.  GPUs have been hailed as the solution to those computing needs but the industry is actively searching for a better, more efficient solution.  Graphcore has that solution.  

Graphcore’s Intelligence Processing Units, or IPUs, are specifically designed for artificial intelligence applications.  These are not GPUs (Graphics Processing Units) but rather graph processors designed for the massive parallelism and sparse data structures characteristic of training knowledge models and deploying them into production.  Architecturally, IPUs looking nothing like GPUs.  They offer performance, latency, and power efficiency advantages that uniquely distinguish them from GPU, CPU, and FPGA alternatives.  Graphcore offers support for popular machine learning frameworks and a full tool suite for developers to innovate both within and outside those frameworks. 

We are looking for an AI Product Manager to bridge the gap between our innovative IPU products and leading edge customers using AI solutions.  Working closely with other members of the Product, Marketing, Sales, and Engineering teams, this high-profile role will sit at the center of how we take our products to market, translating highly technical product features and capabilities into easy-to-understand differentiated messaging that highlights the value of Graphcore’s technology for direct and indirect customers.  

Responsibilities

  • Develop go-to-market plans including core positioning and compelling messaging, incorporated in productcollateral including presentations, white papers, case studies, and benchmarks
  • Act as an evangelist for Graphcore products via presentations at customers, trade events, blog posts, etc.
  • Conduct competitive product research and develop competitive analyses that provide actionable intelligence on how to position to win
  • Engage with customers and field team to understand product use cases and key decision factors
  • Team with Marketing to plan and execute marketing communications activities including corporate and trade events, training, press/analyst briefings, and product launches
  • Enable Sales with tools and training to support the selling process
  • Coordinate with partners and customers on collaborative co-promotional sales and messaging

Requirements

  • 8-10 years of product or technical marketing experience in high performance computing, processors, or machine learning-related field
  • B.S. in computer science or other technical/mathematics discipline; MS/PhD/MBA a plus
  • Outstanding communication skills:  verbal, writing, presentations, including ability to author original content
  • Results-oriented team player, focused, creative, highly communicative
  • International travel up to 25%

The position is based at Graphcore’s headquarters in Bristol, UK.  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

Key Skills

  • 8-10 years of product or technical marketing experience in high performance computing, processors, or machine learning-related field
  • B.S. in computer science or other technical/mathematics discipline; MS/PhD/MBA a plus
  • Outstanding communication skills:  verbal, writing, presentations, including ability to author original content

 

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