GTS Global Solution Architect (ML/AI Strategic Content)
Description
- Develop and deliver technical content to internal and external audiences to enable and empower customers and Splunkers on complex use-cases
- Advance Splunk’s perspective on ML/AI maturity journeys and standardize approaches for aligning customer objectives with AI and Splunk’s present and future portfolio
- Collaborate with customer leadership teams to map and illustrate Splunk ML/AI capability against customers’ security and observability initiatives
- Elevate customer outcomes into repeatable best practices and use cases
- Develop and maintain deep competencies in specific capabilities areas needed by Splunk customers (e.g. Splunk Platform, Machine Learning and AI, and ecosystem technologies)
- Engage with customers to assess and validate complex use-cases and architecture strategies to inform both product roadmap and best practice guidance
- Develop and document ML/AI best practices and adoption strategies in cross-functional partnership with subject matter experts across Splunk
- Partner with Product Management and engineering in your competency areas to influence decisions and guidance throughout a capability’s lifecycle
- Work closely with GTS Technical Interlock to proactively identify customer challenges and needs, influencing the Product roadmap to meet critical customer requirements
- Act as an internal technical expert, fielding inquiries from a Global audience related to your area of subject matter expertise (ML/AI)
- Deliver use-case collateral and technical guidance using your expertise to understand how new or soon-to-be-released and emerging ecosystem technologies, features, solutions and capabilities can be used.
- A good depth of experience and knowledge in Data Science, Machine Learning and AI methods, tools and technologies, preferably related to Splunk AI and its key apps e.g. Splunk Machine Learning Toolkit (MLTK), Splunk App for Data Science and Deep Learning (DSDL). Hands-on skills are a plus.
- Possess a depth of expertise in enterprise logging, security and/or observability, specifically utilizing Splunk and/or other aligned technologies and solutions (e.g. Elastic, AWS native services, etc.)
- 5+ years of experience in technical pre-sales, services, system administration, and/or engineer roles
- 3+ years of experience working with infrastructure and platform services to support enterprise-scale data challenges
- Experienced knowledge about data engineering best practices to prepare data for AI/ML workloads.
- Experience with open source ML/AI tools, frameworks and libraries. Coding skills and knowledge about LLMs, graph and vector databases or integration with 3rd party AI services is a plus.
- Knowledge of strategies for operationalizing logs and/or metrics across infrastructure providers (i.e. on-premises, Amazon Web Services, Azure, and/or Google Cloud Platform
- Experience in writing technical content such as blogs, documentation or whitepapers
- Experience presenting complex technical topics to all audiences, from working-level administrators to senior stakeholders
- Demonstrated expertise in the execution of projects and deliverables to support technology customers’ understanding and ability to capture the full value of their data investments
Note:
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $159,200.00 - 218,900.00 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $143,280.00 - 197,010.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $127,360.00 - 175,120.00 per year
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.
Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.
Thank you for your interest in Splunk!