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CoreWeave Hr

To build the team that accelerates AI and supercomputing through scalable infrastructure, enabling breakthrough innovations in artificial intelligence

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To build the team that accelerates AI and supercomputing through scalable infrastructure, enabling breakthrough innovations in artificial intelligence

Strengths

  • SCALING: Unique capability to rapidly scale technical talent pool
  • INFRASTRUCTURE: Industry-leading GPU deployment expertise
  • CULTURE: Strong engineering-focused culture attracts top talent
  • COMPENSATION: Competitive pay structure for specialized roles
  • LEADERSHIP: Executive team with proven industry experience

Weaknesses

  • RETENTION: Higher than industry average attrition in key roles
  • DIVERSITY: Limited representation across technical leadership
  • PROCESSES: Underdeveloped HR infrastructure for hypergrowth
  • TRAINING: Insufficient upskilling programs for AI specialization
  • SCALABILITY: Manual recruiting processes limiting hiring velocity

Opportunities

  • PARTNERSHIPS: University relationships for specialized talent
  • REMOTE: Global talent access through distributed work policies
  • AUTOMATION: AI-powered HR processes to increase efficiency
  • ACQUISITION: Strategic acquihires to accelerate team expansion
  • REPUTATION: Growing industry recognition to attract top talent

Threats

  • COMPETITION: Big Tech aggressively targeting same talent pool
  • BURNOUT: High-growth environment creating employee fatigue
  • COMPENSATION: Salary inflation in AI engineering specialties
  • SKILLS GAP: Limited talent with specialized GPU expertise
  • REGULATION: Changing visa/immigration policies affecting hiring

Key Priorities

  • TALENT: Implement AI-powered technical recruiting acceleration
  • RETENTION: Develop specialized career paths for GPU experts
  • CULTURE: Scale engineering-first culture while improving diversity
  • AUTOMATION: Deploy HR tech stack built for hypergrowth phase
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To build the team that accelerates AI and supercomputing through scalable infrastructure, enabling breakthrough innovations in artificial intelligence

TALENT ENGINE

Build world's best technical recruiting machine

  • PIPELINE: Increase qualified AI engineer candidates in pipeline by 150% through specialized sourcing
  • VELOCITY: Reduce time-to-hire for specialized roles from 45 to 30 days through process optimization
  • CONVERSION: Improve offer acceptance rate from 72% to 85% for senior technical roles
  • AUTOMATION: Implement AI-powered screening that handles 60% of initial candidate evaluations
RETAIN BRILLIANCE

Create environment where top talent thrives

  • TURNOVER: Reduce voluntary attrition in technical roles from 17% to 12% through targeted programs
  • GROWTH: Implement technical expert career paths with 90% of engineers having clear advancement plan
  • ENGAGEMENT: Increase employee Net Promoter Score from 42 to 60 through culture initiatives
  • COMPENSATION: Deploy competitive intelligence tool tracking market rates across 95% of key roles
SCALE CULTURE

Maintain engineering excellence during hypergrowth

  • DIVERSITY: Increase underrepresented groups in technical roles from 22% to 30% through targeted hiring
  • ONBOARDING: Reduce time to productivity for new technical hires from 75 to 45 days
  • DEVELOPMENT: Launch AI skills acceleration program with 80% of engineers completing one course
  • VALUES: Achieve 85% favorable responses on values alignment in quarterly pulse surveys
HR INNOVATION

Build world-class people operations infrastructure

  • TECHNOLOGY: Deploy integrated HR platform reducing manual processes by 70% through automation
  • ANALYTICS: Implement predictive workforce planning model with 85% accuracy for 18-month forecasts
  • EFFICIENCY: Increase HR team capacity by 40% through AI-powered service delivery
  • SATISFACTION: Achieve 80% employee satisfaction with HR processes and support
METRICS
  • REVENUE PER EMPLOYEE: $2.2M for 2025, growing to $2.8M for 2026
  • TECHNICAL TALENT GROWTH: 250 specialized AI/GPU engineers by end of 2025
  • RETENTION RATE: 88% annual retention rate for high-performing technical staff
VALUES
  • Customer Obsession - Place customers at the center of everything we do
  • Technical Excellence - Pursue engineering brilliance relentlessly
  • Agile Innovation - Move fast, iterate quickly, and embrace change
  • Radical Transparency - Foster open communication across all levels
  • Ownership Mindset - Take responsibility and make decisions as owners
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Align the learnings

CoreWeave Hr Retrospective

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To build the team that accelerates AI and supercomputing through scalable infrastructure, enabling breakthrough innovations in artificial intelligence

What Went Well

  • GROWTH: Exceeded hiring targets by 23% for specialized AI roles
  • ENGAGEMENT: Employee satisfaction scores improved 12% year-over-year
  • DIVERSITY: Increased representation of women in tech roles by 9%
  • EFFICIENCY: Reduced time-to-hire for engineering positions by 27%

Not So Well

  • RETENTION: Lost 4 key GPU architecture specialists to competitors
  • ONBOARDING: New technical employees taking average of 75 days to full productivity
  • SCALING: HR team understaffed relative to company growth trajectory
  • DOCUMENTATION: Incomplete process documentation causing inconsistent experiences

Learnings

  • SPECIALIZATION: Need for dedicated AI/ML recruiting team is critical
  • COMPETITION: Must develop unique EVP beyond compensation to retain top talent
  • INFRASTRUCTURE: HR tech stack insufficient for projected 2X employee growth
  • CULTURE: Engineering-first culture needs deliberate scaling approach

Action Items

  • TALENT: Implement specialized technical referral program with 2X standard bounty
  • TECHNOLOGY: Deploy integrated HR platform with AI capabilities by Q3 2025
  • PROGRAMS: Launch GPU/AI expert career advancement framework with clear paths
  • ANALYTICS: Build predictive retention model identifying flight risks monthly
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To build the team that accelerates AI and supercomputing through scalable infrastructure, enabling breakthrough innovations in artificial intelligence

Strengths

  • EXPERTISE: Deep understanding of AI infrastructure requirements
  • TOOLS: Advanced internal AI tools for technical screening
  • NETWORK: Strong connections in the AI engineering community
  • DATA: Sophisticated data collection on hiring funnel metrics
  • LEADERSHIP: Forward-thinking approach to AI talent acquisition

Weaknesses

  • ADOPTION: Inconsistent AI tool usage across HR functions
  • INTEGRATION: Siloed AI applications lacking unified strategy
  • TRAINING: HR team lacks advanced AI implementation skills
  • ETHICS: Underdeveloped framework for AI use in HR practices
  • INVESTMENT: Limited dedicated resources for HR AI initiatives

Opportunities

  • AUTOMATION: 80% reduction in admin work through AI deployment
  • TALENT: AI-driven sourcing to identify passive candidates
  • PERSONALIZATION: Customized employee experience at scale
  • PREDICTION: Advanced analytics for retention risk identification
  • EFFICIENCY: Streamlined interview process through AI screening

Threats

  • BIAS: AI systems potentially amplifying hiring biases
  • PRIVACY: Employee data concerns with AI-powered analytics
  • RESISTANCE: Employee skepticism toward AI-driven HR processes
  • REGULATION: Emerging compliance issues for AI in employment
  • DEPENDENCY: Over-reliance on AI potentially eroding human touch

Key Priorities

  • IMPLEMENTATION: Develop comprehensive HR AI transformation plan
  • CAPABILITIES: Upskill HR team on AI implementation best practices
  • INTEGRATION: Build unified AI platform for all HR functions
  • ETHICS: Create robust framework for responsible AI use in HR