Field Solution Architect - Analytics
Pure StorageTokyo, JapanPosted 19 March 2026
Job Description
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
SHOULD YOU ACCEPT THIS CHALLENGE...
Own the success of the Analytics AI solutions use case for Japan. Helping the team to achieve the solutions bookings goals through business planning, market identification, field enablement, content creation and working with the team to close deals. Leading from the front and showing them what good looks like from both a pre and post sales perspective.
Creating field facing solutions content (Technical Walkthroughs, Deep Dives, Demos, Qualification Guides, etc.) for specific solutions around Analytics AI
Mainstreaming solution area and other enablement projects to better equip the field for the first stages of Analytics AI opportunities
Webinars/Events presentations including internal and external content with Alliance Partners, Channel Partners, Vendors, etc.
Participate in customer facing calls, demos, POCs, EBCs, internal strategy/sizing sessions, and other related solution-focused activities
Staying abreast of advancements in both our internal product offerings (FlashArray, FlashBlade, Portworx)
Solutions Roadmap participation/influence by providing feedback to Product Management
Partner with Sales Leaders for two-way feedback and communication
Be a beacon of positivity capable of inspiring and motivating the field to reach higher levels of success and attracting customers to adopt Pure Storage technology
WHAT YOU’LL NEED TO BRING TO THIS ROLE...
Bachelor's Degree in Data Science, Computer Science, or related field / equivalent experience
8+ years of Pre-sales experience in IT with Project Management or Project Marketing experience would be good to have.
Strong technical acumen in the Analytics AI space with deep interest and vision for the industry in addition to understanding of the infrastructure (servers, networking, storage, etc) that underpins a high performance environment
Exceptional level of specialized sales with Analytics AI product solution knowledge and a solid understanding of Pure Storage competitive domain in these technologies
Excellent oral and written communications skills, as well as excellent presentation skills. Able to explain complex concepts in a simple way to teach partners/customers.
Strong technical and tactical problem-solving skills and experience with complex engineering designs
Knowledge of the Analytics AI landscape and how they all play together at Pure for a specific outcome for a customer. These may include various applications/technologies part of a larger data pipeline such as Splunk, Elastic Search, Kafka, Spark, Snowflake, Vertica, TensorFlow, PyTorch, etc. that traditionally run alongside Nvidia products, cloud providers (AWS, Azure, GCP) in a virtualized or containerized environment
Ability to travel up to 30% of the time.
Strong work ethic, attitude and follow through ability
Publications and Social Media presence is a plus
WHAT YOU CAN EXPECT FROM US:
Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team : We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information ... (truncated, view full listing at source)
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