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Engineering Manager, Growth: Personalization Platform

Posted about 2 months agoViewed

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💎 Seniority level: Manager

📍 Location: Worldwide

💸 Salary: 131600.0 - 282000.0 USD per year

🔍 Industry: Software Development

🏢 Company: GitLab👥 1001-5000💰 $268,000,000 Series E over 5 years ago🫂 Last layoff over 2 years agoDeveloper ToolsDevOpsOpen SourceSaaSCloud Security

🗣️ Languages: English

🪄 Skills: AWSBackend DevelopmentLeadershipProject ManagementSQLGitKubernetesRubySCRUMProduct DevelopmentGoREST APICommunication SkillsAnalytical SkillsCollaborationCI/CDAgile methodologiesMentoringTeam managementSoftware EngineeringData analyticsA/B testing

Requirements:
  • Proficiency in using GitLab for project management and collaboration.
  • Advanced knowledge of git beyond the basic usage.
  • Strong negotiation skills to achieve consensus across departments.
  • Demonstrated leadership experience with current technical competency.
  • In-depth technical expertise in at least one core language, framework, or technology (Ruby / Go).
  • Familiarity with various functional areas within the team's domain.
  • Additional experience relevant to the role's specialty.
  • Excellent written and verbal communication skills.
  • Alignment with organizational values and principles.
  • Experience building internal tools or platforms for experimentation, analytics, or personalization.
  • Familiarity with A/B testing methodologies and statistical analysis.
  • Experience with event tracking, data pipelines, and analytics systems.
  • Experience with feature flagging systems and progressive rollouts.
Responsibilities:
  • Manage team activities and ensure project delivery.
  • Support engineers' professional growth and skill development.
  • Create detailed project plans for epics.
  • Execute agile project management processes.
  • Foster empathy and address team concerns.
  • Recruit globally-distributed talent and conduct interviews.
  • Cultivate a psychologically safe team environment.
  • Implement process improvements to boost productivity.
  • Conduct regular 1:1 meetings and provide feedback.
  • Implement scalable infrastructure for experimentation and personalization across GitLab's platform.
  • Build intuitive tools that enable product teams to design, deploy, and analyze their own A/B tests without engineering bottlenecks.
  • Collaborate with the data analytics team to implement statistical methodologies for accurate experiment evaluation.
  • Create documentation and training resources to help teams effectively utilize the platform.
  • Partner with product teams to understand their experimentation needs and continuously improve the platform.
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