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7 дней назад

Consulting Field Solutions Architect (AI/Analytics - SLED)

171 500 - 283 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Consulting Field Solutions Architect (AI/Analytics - SLED) (AI/analytics and data storage): Building and positioning high-performance data pipeline solutions for SLED customers with an accent on technical sales, customer enablement, and Analytics & AI partnerships. Focus on designing complex infrastructure solutions, leading demos and proofs of concept, influencing product roadmaps, and troubleshooting deployments across storage, cloud, networking, and containerized environments.

Location: Remote, United States; travel within the assigned territory and other US locations required 50%–60%

Annual base salary: $171,500–$283,500 USD; incentive pay and/or equity may be available.

Company

hirify.global is reshaping the data storage industry through high-performance storage products and Analytics & AI solutions, including FlashArray, FlashBlade, and Portworx.

What you will do

  • Create customer- and field-facing technical walkthroughs, deep dives, demos, qualification guides, and other Analytics & AI solution content.
  • Enable SLED account teams, channel partners, alliance partners, vendors, and customers through presentations, webinars, events, and daily technical support.
  • Participate in customer calls, demos, proofs of concept, executive briefings, strategy sessions, sizing activities, and post-sales troubleshooting.
  • Influence the solutions roadmap by working with Solutions Architects, Product Management, Engineering, Marketing, Alliances, Sales, and Enablement.
  • Oversee field testing and document application and platform knowledge to support solution development.
  • Partner with SLED Sales Leaders to coordinate feedback, communication, and go-to-market initiatives.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, or a related field, or equivalent experience preferred.
  • 8+ years of IT pre-sales experience.
  • Strong technical expertise in Analytics & AI, infrastructure, servers, networking, storage, and high-performance environments.
  • Experience with complex engineering designs, technical problem-solving, customer strategy, and solution positioning.
  • Ability to explain complex concepts clearly and deliver effective technical presentations and enablement.
  • Availability to travel 50%–60% within the assigned US territory and other US locations.

Nice to have

  • Experience covering SLED accounts.
  • Experience with Splunk, Elasticsearch, Kafka, Spark, Snowflake, Vertica, TensorFlow, PyTorch, NVIDIA products, AWS, Azure, GCP, virtualization, or containers.
  • Proficiency with G Suite, CRM, opportunity management systems, and Salesforce.
  • Publications or a social media presence.

Culture & Benefits

  • Innovation-focused environment that supports critical thinking and experimentation.
  • Growth opportunities and support for meaningful contributions.
  • Collaborative culture built around mutual support and shared success.
  • Flexible time off, wellness resources, and company-sponsored team events.
  • Inclusive workplace with employee resource groups and accessibility accommodations during hiring.

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