Learning Partner- Technical Development

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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Core Weave is the essential cloud for AI — purpose-built to power the infrastructure that trains, deploys, and scales AI at the frontier. We operate one of the world's largest GPU-accelerated compute platforms, serving the teams building the most demanding AI workloads in the world. As we scale rapidly toward and beyond 4,000 employees, Core Weave University exists to ensure our people grow as fast as the company does — building the capabilities that make Core Weave not just the best place to work in AI infrastructure, but the best place to develop a career in it.

Core Weave's workforce needs to be technically fluent — and building that fluency at scale, across thousands of employees in a rapidly evolving AI infrastructure environment, is genuinely hard work. The Learning Partner for Technical Development, is a senior practitioner who owns the design and delivery of learning programs for employees of Core Weave's Data Center Operations or Product & Engineering organization.

This is not a role for someone who needs the scope handed to them. The Technical Development pillar is still being shaped, and the LP Lead will have direct input into what it becomes. The right candidate brings deep design expertise, proven ability to partner with highly technical stakeholders, and genuine curiosity about AI infrastructure — enough to earn credibility in rooms where technical and engineering experts and data center technicians and leaders are the subject matter experts.

• Lead the design and development of multi-modal learning programs — instructor-led, self-paced, blended, and on-the-job — for assigned learner populations in DC Operations or Product & Engineering.
• Translate complex AI infrastructure concepts into accessible, high-quality learning experiences for non-technical and cross-functional audiences.
• Conduct rigorous needs analyses with technical, product, engineering, and data center leaders and SMEs; translate findings into structured learning strategies with defined success metrics.
• Independently manage programs from scoping through evaluation, without close supervision.
• Develop and maintain facilitator guides, participant materials, and job aids across your portfolio.

• Serve as the primary CWU point of contact for technical learning initiatives across DC Operations and Product & Engineering; build trusted relationships with technical and data center operations leaders, SMEs, and functional stakeholders.
• Advise senior stakeholders on learning strategy — not just execution. This role requires the confidence to push back, reframe needs, and recommend solutions that serve learners and the business.
• Collaborate with the other CWU Learning Partners to ensure curriculum consistency and share learnings across sites.
• Partner with the broader CWU team to align technical learning to organization-wide capability priorities.

• Facilitate learning programs with credibility and adaptability; adjust delivery in real time based on learner needs and feedback.
• Define and own evaluation frameworks for your programs; use data to assess effectiveness and bring continuous improvement proposals to CWU leadership.
• Identify opportunities to improve impact across the DC Ops and P&E development portfolio — not just within your assigned programs.

• Act as a senior contributor within the CWU team — sharing domain expertise, contributing to how the function works, and helping shape technical development practice.
• Help peers navigate subject matter and stakeholder dynamics in the technical development space.