Solutions Architect, Machine Learning

Key Skills

Python Programming, Machine learning techniques, Jupyter Notebook, Pandas, Scikit-learn, statsmodels, Cloud Security Analytics

Job Description

Are you ready to change the way businesses think and do you want to make your impact? This is a highly collaborative role that is 100% remote.

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

SOLUTIONS ARCHITECT, MACHINE LEARNING

Location: North America, Remote

Travel: Up to 25%

Splunk Machine Learning (ML) Architects are domain experts in applying machine learning and advanced analytics to solve domain use-cases, leveraging the Splunk software ecosystem. As one of Splunk’s senior-most technical presales resources, you will be a catalyst for growing strategic accounts by delivering ML use-cases and helping account teams secure technical wins using Splunk’s ML offerings.

A successful Machine Learning Architect will not only maintain a deep technical understanding of ML and domain use-cases, but also build cross-functional relationships, and create collateral to build scale and impact Splunk’s rapid growth rate.

PRIMARY RESPONSIBILITIES:

• Serve as the highest-level technical escalation in support of applying the Splunk ecosystem to machine learning use cases
• Engage with North American sales teams including both strategic commercial and public sector accounts
• Act as a technical expert, fielding questions related to embedded ML (within premium products), streaming ML, and the Splunk Machine Learning Environment (SMLE)
• Develop and deliver technical training for internal and external audiences covering both use-case and product-specific capabilities
• Articulate the value of solutions at both advanced sales stages and at high-impact marketing or tradeshow events such as Splunk’s annual user conference
• Influence product capabilities and direction based on crosscutting customer challenges and needs
• Operate as a self-starter who is driven by an intense desire to learn, grow, teach & win

KEY DIFFERENTIATORS:

• 8+ years of technical, customer-facing experience in technical pre-sales, services delivery, or consulting
• Experience presenting to executive level stakeholders and CxO
• Possesses strong presentation skills and is able to communicate clearly and professionally at all levels
• Hands-on experience applying machine learning techniques to enterprise business challenges
• Hands-on experience of using open-source analytics and data science tools and libraries such as scikit-learn, pandas, statsmodels
• Python scripting expertise and a history of delivering work using (Jupyter) notebooks
• Experience capturing customer challenges as consolidated use-cases to craft product direction
• Experience as a Splunk user and/or domain expertise in advanced analytics for Security, IT Operations, or Observability

EDUCATION: GOT IT!

• Bachelor's degree in computer science, math, or statistics, or commensurate experience
• Must currently be authorized to work in the United States on a full time basis