ApplyEngineering 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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