Splunk Solutions Architect, Machine Learning in Denver, Colorado
Role: Solutions Architect, Machine Learning
As a Machine Learning Solutions Architect, you will be a domain expert on applying Machine Learning within the Splunk ecosystem. You will be one of the senior-most technical presales resources responsible for driving strategic opportunities that require your deep technical expertise for applying machine learning to Splunk’s critical buying centers.
A successful Machine Learning Solutions Architect will not only maintain a deep technical understanding of Splunk’s machine learning products and services, but also build cross-functional relationships, and create collateral to build scale and impact Splunk’s rapid growth rate.
Serve as the highest-level technical escalation in support of Machine Learning use cases implemented Spunk Machine Learning Toolkit, Splunk Machine Learning Environment (SMLE), or embedded in premium offerings
Engage with North American and Global Sales and Sales Engineering teams on top accounts while fielding inbound pre-sales engagement requests for other high impact opportunities
Provide standard methodologies/best practices and root cause analysis of the most sophisticated technology challenges -- This may include building test environments and experiments, establishing ad-hoc teams of experts, and/or collaborating with Product Management and Engineering
Act as an internal technical expert, fielding questions related to machine learning toolsets as well as domain-specific use cases, such as anomaly detections for security use cases and forecasting for ITOA
Develop and deliver Splunk product and cloud technology training for internal and external audiences
Demonstrate Splunk products and articulate the value of solutions at advanced sales stages and at high-impact marketing or tradeshow events such as Splunk’s annual user conference
Maintain and extend personal expertise related to evolving and newly-emerging technologies underpinning the latest industry trends and prototype solutions for integration with Splunk
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 Candidate Differentiators:
5+ years of demonstrated experience in a senior pre-sales and/or technical leadership capacity, including experience presenting to CxOs
2+ years of experience as a Splunk Administrator/Architect and sales engineering or consultation experience.
Hands-on experience in Machine Learning techniques, such as linear regression, logistic regression, naive Bayes, SVM, decision trees, and random forests etc. applied to business problems.
Hands-on experience of using data-science tools and libraries such as scikit-learn, pandas, stats model, MLlib (Spark), R, KNIME, etc.
Strong understanding of statistical modeling/machine learning and/or data mining Unix based scripting language (Perl, Python, *sh) skills
Domain expertise with IT Operations, Application Management and/or Security/Compliance is also desirable
Bachelor's degree in an engineering discipline (preference to computer science, math, or statistics) -- exceptionally well-qualified candidates with equivalent experience will be considered
Must currently be authorized to work in the United States on a full time basis
Ability to travel up to 25% (when/where public health conditions allow due to COVID-19)
United States, Continental U.S.
Current Gartner Magic Quadrant Leader SIEM
Named one of the “Best Places to Work” 10 years running
Named in LinkedIn’s “Top Companies 2019: Where the U.S. wants to work now”
Named in Deloitte Technology Fast 500- 2018
Named in Forbes 2018 World’s Best Employers
Are you looking for an incredible place to work that celebrates innovation, leadership and creativity? Please contact us. Splunk offers competitive compensation and excellent benefits. When you join Splunk you'll be working with a team of smart people who are as passionate about our products as our customers' success.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Splunk was founded to pursue a disruptive new vision: make machine data accessible, usable and valuable to everyone. Machine data is one of the fastest growing and most complex areas of big data—generated by every component of IT infrastructures, applications, mobile phone location data, website clickstreams, social data, sensors, RFID and much more.
Splunk is focused specifically on the challenges and opportunity of taking massive amounts of machine data, and providing powerful insights from that data. IT insights. Security insights. Business insights. It’s what we call Operational Intelligence.
Since shipping its software in 2006, Splunk now has over 13,000 customers in more than 110 countries around the world. These organizations are using Splunk to harness the power of their machine data to deepen business and customer understanding, mitigate cybersecurity risk, prevent fraud, improve service performance and reduce costs. Innovation is in our DNA – from technology to the way we do business. Splunk is the platform for Operational Intelligence!
Splunk has more than 2,700 global employees, with headquarters in San Francisco, an office in San Jose, CA and regional headquarters in London and Hong Kong.
We’ve built a phenomenal foundation for success with a proven leadership team, highly passionate employees and unique patented software. We invite you to help us continue our drive to define a new industry and become part of an innovative, and disruptive software company.
Benefits & Perks: Wow! This is really cool!
Medical, full company paid Dental, Vision and Life Insurance, Flexible Spending and Dependent Care Accounts, Commuter Accounts, Employee Stock Purchase Plan (ESPP), 401(k), 3 weeks of PTO, sick leave, stocked micro kitchens in Splunk offices, catered lunches on Mondays, catered breakfast on Fridays, basketball hoops, ping pong, arcade games, BBQ’s, soccer, “Fun Fridays”.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Medical, full company paid Dental, Vision and Life Insurance, Flexible Spending and Dependent Care Accounts, Commuter Accounts, Employee Stock Purchase Plan (ESPP), 401(k), 3 weeks of PTO and sick leave. Our work environments vary by location however we believe in hosting amenities and fun activities to fuel our energy. You may find fully stocked micro kitchens, catered lunches on Mondays and breakfast on Fridays, basketball hoops, ping pong, arcade games, BBQ’s, soccer and “Fun Fridays”.
This isn’t a job – it’s a life changer – are you ready?
Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.
Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.
Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to email@example.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.
Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.
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