Engineering Manager, Splunk

Salary not provided
Senior level
Remote in US
Splunk

Data security & observability platform

Job no longer available

Splunk

Data security & observability platform

1001+ employees

B2BArtificial IntelligenceDeep TechAnalyticsInternet of ThingsMachine LearningSaaSCyber Security

Job no longer available

Salary not provided
Senior level
Remote in US

1001+ employees

B2BArtificial IntelligenceDeep TechAnalyticsInternet of ThingsMachine LearningSaaSCyber Security

Company mission

To allow clients to focus on the business outcomes that data can deliver by helping organisations use their data to answer questions, take actions, and achieve business objectives

Role

Who you are

  • In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning
  • In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM)
  • Experience with leading and managing machine learning teams of applied scientists and engineers
  • Experience with developing large-scale, complex models and deploying them in production systems
  • Experience with setting and executing innovation strategies at both technical and organizational levels to drive business objectives
  • Familiarity with architectural patterns of large, high-scale applications
  • Experience in the Cybersecurity industry is preferred

What the job involves

  • As the Engineering Manager, AI in the Artificial Intelligence group, you will be responsible for leading the development of the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency
  • You will collaborate with cross-functional teams, mentor junior team members, and help drive the scientific roadmap of the area
  • Develop a long-term strategy and roadmap for integrating AI/ML technology across our product portfolio
  • Lead the development of core AI/ML models and algorithms that drive our product’s key use cases in the cybersecurity and observability domains
  • Partner with Product Leads to build a strategic product vision coupled with a flexible science/engineering plan, supporting learning through iteration
  • Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap
  • Provide technical guidance and mentorship to team members to ensure the development of their skills
  • Develop structures to hold the team accountable for progress, for learning, for communicating, and meeting business objectives

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Company

Company benefits

  • Paid parental leave
  • Work from home opportunities
  • Health Care and Insurance
  • Paid Time Off
  • Education reimbursement
  • Electric car charging stations
  • Employee Assistance Program (EAP)
  • Stocked kitchens
  • Gym discounts/onsite fitness centers
  • Pet insurance discount
  • Student loan resources
  • Cool workspace with collaborative environments
  • 529 College Savings Plan

Funding (last 2 of 3 rounds)

Sep 2007

$25m

SERIES C

Jan 2006

$10m

SERIES B

Total funding: $40m

Our take

Splunk was founded to produce software for searching and analysing machine-generated data for clients. The platform provides live data insights and is an attractive option due to its flexibility, scalability and ability to process real time data.

The company has evolved significantly since being founded, implementing developments in augmented reality, machine learning and mobile technology. Further, the company's transition to the cloud has allowed it to provide new offerings, and proved its ability to move with market trends.

Acquired by Cisco in 2024, Splunk now benefits from Cisco's user protection, breach protection and threat intelligence capabilities. The company will continue to deliver its security products, and also has plans to enhance its portfolio moving forwards.

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Kirsty

Company Specialist at Welcome to the Jungle