NetApp

Optimizes cloud infrastructure costs on AWS

Senior Solutions Architect

Pre-Sales Solution EngineeringUpdated on Nov 14

Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

A tertiary degree in Electrical Engineering, Computer Science, or another relevant technical field, or equivalent work experience, especially in data engineering, analytics, machine learning, and artificial intelligence.
A technical background in infrastructure, database technologies, and software coding.
In-depth understanding of artificial intelligence market trends, industry best practices, and the technology landscape.
In-depth knowledge of artificial intelligence concepts, including server and storage architecture, batch and stream processing, data warehousing, data lakes, distributed filesystems, OLTP and OLAP databases, and data pipelining tools.
Certifications or equivalent evidence demonstrating artificial intelligence skills, such as NVIDIA, Google, Azure, or scripting (for example, Python).
Experience presenting to, evangelising, and influencing customer and partner audiences.
Experience with cross-functional collaboration.
Eight or more years in a technical pre-sales role.
Ability to articulate complex technical concepts verbally and in writing.

Responsibilities

Collaborate with technical, sales, partner, and marketing teams to evangelise artificial intelligence solutions and technologies.
Serve as the technical subject matter expert for artificial intelligence, machine learning, data analytics, and high-performance computing workloads.
Work with worldwide leadership to adapt artificial intelligence sales plays to local market needs.
Act as a liaison between sales teams and global headquarters, providing insights and feedback to refine corporate strategies.
When required, participate in direct sales opportunities, including qualifying requirements, designing solutions, proof-of-concept testing, and competitive analysis.
Define and guide technical teams on technical and solution design.
Collaborate with partner and alliance teams to drive end-to-end solution designs for customers and prospects.
Work with peers and leadership to develop and execute a strategy to evangelise NetApp, train and enable field sellers, work with go-to-market partners, and participate in direct sales campaigns when required.
Work with cross-functional team members to achieve revenue and growth targets for the APJ&I geographic area.

Desired Qualifications

Enthusiasm for technology and the ability to stay current with industry trends.
Strong teamwork, strategic thinking, business acumen, and problem-solving ability.

Job Summary

AI Solutions Architect, APAC

As an AI Solutions Architect for the APAC Geo at NetApp, you will work closely with Sales Specialists, Partner Managers, Technical Leaders and Sales Teams to drive sales execution and business growth for AI solutions and technologies.

Your passion for technology, strategic thinking, and expertise in Artificial Intelligence will be essential to success. You already have an in-depth understanding of AI market trends, key industry best practices, and the technology landscape.

Using your background and experience, you will work with your peers and leadership to develop and execute a strategy to evangelise NetApp, train and enable field sellers, work closely with Go-To-Market partners and participate, where required, in direct sales campaigns.

A technical background in infrastructure, database technologies and software coding, is essential.

Job Requirements

The AI Solutions Architect is a domain expert; the role holder will work closely with cross-functional team members to achieve revenue and growth targets for the APJ&I Geo.

Typical responsibilities include:

Collaborate with Technical, Sales, Partner and Marketing teams to evangelise AI solutions and technologies.
Act as the go-to person for all technical and AI, ML, Data Analytics and HPC workloads
Work closely with WW leadership to ensure that AI sales plays are adjusted and aligned to local market needs
Act as a key liaison between sales teams and global headquarters, providing insights and feedback to help refine corporate strategies
Where required, participate in direct sales opportunities including qualification of requirements, solutions design, proof-of-concept testing, and competitive analysis
Define & guide technical teams regarding technical/solution design
Collaborate with Partner and Alliance teams to drive end-to-end solution designs for our customers and prospects
In-depth knowledge of Artificial Intelligence concepts including server/storage architecture, batch/stream processing, data warehousing, data lakes, distributed filesystems, OLTP/OLAP databases and data pipelining tools

Key Qualifications

Demonstrated enthusiasm for technology and ability to stay current with industry trends
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts.
Strong team player, strategic thinker, excellent business acumen and creating problem solver

Education & Experience

Tertiary degree in Electrical Engineering, Computer Science, or other relevant technical field or equivalent work experience esp. with data engineering (analytics, ML & AI)
Certifications or equivalent to demonstrate AI skills, for example, NVIDIA, Google, Azure, scripting eg. Pyton
Experience in presenting, evangelising, and influencing customer and partner audiences
Experience in cross-functional collaboration
8+ years in a technical Pre-Sale role

About the Company

NetApp

Optimizes cloud infrastructure costs on AWS

Spot.io, part of NetApp, helps businesses manage cloud costs and infrastructure on AWS. It uses software that analyzes cloud usage and automates management to lower compute expenses, especially through AWS EC2 spot instances, which offer spare capacity at reduced prices. The product provides deep visibility into cloud spending, an AWS cost optimization calculator for estimating potential savings, and a free action plan tailored to each customer. Revenue comes from selling software licenses and consulting services. Target customers include enterprises using containers and orchestration tools like Kubernetes, EKS, ECS, KOPS, Docker Swarm, and OpenShift. The company aims to reduce cloud compute costs for customers while simplifying cloud operations and improving efficiency.

Company size: 51-200
Company stage: Acquired
Total funding: $53.2M
Headquarters: Tel Aviv-Yafo, Israel
Founded: 2015

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