CrowdStrike

CrowdStrike has redefined security with the world’s most advanced cloud-native platform that protects and enables the people, processes and technologies that drive modern enterprise. Tested and proven, the world's largest organizations trust CrowdStrike to stop breaches with unparalleled protection against the most sophisticated cyberattacks. The CrowdStrike culture has been built upon our Core Values since the day we began. We are Fanatical About the Customer, Relentlessly Focused on Innovation and believe that our Limitless Passion drives Unlimited Potential for every CrowdStriker. As a purpose-built remote-first company, we believe cultivating a connected culture for every employee, no matter where they are in the world, is a key ingredient in building a high-performing, diverse team. We don’t have a mission statement. We’re on a mission—to stop breaches. Ready to join a mission that matters?

AI Platforms Manager

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 5,001-10,000Since 2011H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

51 days ago

Salary

$125K - $180K / year

Bachelor Degree4 yrs expEnglishCyber SecurityPythonService Now

Job Description

• Own the strategic roadmap for key AI platforms, focusing on zero and low-code agent builders to streamline internal operations. • Manage relationships with AI platform vendors (e.g., Google, OpenAI) to oversee implementation, align roadmaps, roll out new features, and resolve technical bugs. • Provide technical expertise in building AI agents and implementing platforms; mentor and enable the AI Champion advisory group so they can empower their respective departments. • Apply agentic best practices to design and build workflows that automate complex tasks and help run the business more effectively. • Collaborate with other platform owners to test and continually enhance integrations across our tech stack, including Google Workspace, Slack, ServiceNow, and Salesforce. • Gather requirements from "champion" users and partner with the high-code agent team to test and integrate custom-built functionality into vendor platforms. • Help bridge technical gaps between Product Management and the AI Enablement team to ensure platform capabilities meet business needs.

Job Requirements

  • 4-8 years of experience managing SaaS platforms, with at least 1-3 years specifically focused on AI technologies.
  • Deep understanding of core technical components, including API integrations, logging, and advanced troubleshooting.
  • Strong knowledge of the LLM landscape and the specific mechanics of building agents within enterprise AI platforms.
  • Ability to translate complex technical requirements into actionable roadmaps and influence stakeholders across various departments.
  • Bachelor’s degree in a relevant field or equivalent practical experience.
  • Experience in highly regulated or security-conscious environments, such as Finance, Legal/E-Discovery, Healthcare, or Defense.
  • Hands-on scripting experience (e.g., Python) to assist with troubleshooting or custom integrations.
  • Prior experience in a high-growth cybersecurity or enterprise SaaS environment.

Benefits

  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees regardless of level or role
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
  • Vibrant office culture with world class amenities
  • Great Place to Work Certified™ across the globe

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