7 дней назад
Consulting Field Solutions Architect (AI/Analytics - SLED)
171 500 - 283 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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