Talent Brand Manager
New
G
GitLabTechnology
Remote; Remote, Canada; Remote, United StatesFull-TimeMiddle
Salary$95,200 — $160,800 USD
Apply NowOpens the employer's application page
Job Details
- Required Skills
- Project ManagementArtificial IntelligenceData analytics
Requirements
- Experience in talent brand, employer brand, recruitment marketing, content strategy, communications, or a related field.
- Proven ability to translate a brand or employer value proposition into content, campaigns, or audience experiences.
- Strong storytelling, writing, editing, and editorial judgment across multiple channels.
- Experience planning and delivering campaigns or programs with multiple stakeholders, dependencies, and deadlines.
- Comfort using performance data, audience insights, feedback, and market research to improve outcomes.
- Experience influencing across functions and working with senior stakeholders, creative partners, or vendors.
- Ability to manage ambiguity, prioritize competing work, and move from strategy to detailed execution in an asynchronous environment.
- Commitment to inclusive, transparent storytelling and alignment with GitLab’s values and remote working practices.
Responsibilities
- Translate GitLab’s employer value proposition into clear, differentiated, and authentic candidate-facing messaging.
- Deliver integrated talent brand campaigns across careers content, social media, employer review platforms, talent communities, and events.
- Develop and curate stories featuring team members, culture, values, career growth, and the impact of working at GitLab.
- Partner with Talent Acquisition to create targeted content and campaigns that support hiring priorities, pipeline generation, and conversion.
- Improve candidate journey touchpoints with transparent, consistent, and relevant information throughout the hiring process.
- Use content, channel, candidate feedback, and funnel metrics to improve performance and report on impact.
- Manage projects and external partners while improving talent brand processes and systems through iteration and use of AI tools.
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