Learning Partner- Technical Development

CoreWeave•Sunnyvale, CA

2d•$127,000 - $168,000•Onsite

About The Position

CoreWeave'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 Lead, Technical Development, is a senior practitioner who owns the design and delivery of technical learning programs for an assigned population within CoreWeave's workforce. Based in Sunnyvale, this role serves the technical learning needs of employees at one of CoreWeave's primary engineering and product hubs — a population with deep technical sophistication and high expectations for the quality of learning experiences. 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 engineers are the subject matter experts.

Requirements

5–8+ years of experience in instructional design, learning & development, or a closely related field, with increasing scope and ownership over time.
Demonstrated experience designing learning programs for technical or highly specialized subject matter — experience in a technology company, AI/ML environment, or engineering-heavy organization strongly preferred.
Track record of advising senior technical stakeholders on learning strategy — not just executing against defined briefs.
Experience operating in a fast-moving, high-growth environment where scope is ambiguous and priorities evolve.
Advanced instructional design skills across multiple modalities; comfort designing for in-person, virtual, and blended delivery.
Ability to learn technical subject matter quickly and translate it into credible learning content without deep prior technical expertise.
Familiarity with AI, machine learning, cloud infrastructure, or GPU computing is a strong differentiator for this role given the Sunnyvale context.
Strong analytical instincts: defines clear success metrics, interprets evaluation data, and brings insight to stakeholders.
Proficiency with standard L&D tools: LMS platforms, authoring tools (Articulate, Rise, or equivalent), and virtual facilitation platforms.
Owns complex programs end-to-end; proactively identifies and resolves blockers without waiting for direction.
Advises rather than just executes — brings a point of view to stakeholder conversations and has the confidence to push back when the stated ask isn't the right solution.
Comfortable in ambiguity; able to define structure and scope in a pillar that is still being built.
Collaborative and generous with expertise; contributes actively to the broader CWU team.
Possesses deep instructional design knowledge and contributes expertise across complex programs.
Independently manages sophisticated learning workstreams and refines processes for efficiency and impact.
Continuously expands capabilities and actively shares insights with peers.
Consistently delivers high-quality results across a complex portfolio.
Anticipates how business priorities shift and aligns program design accordingly.
Balances risk, stakeholder input, and evidence to make sound program decisions independently.
Builds trusted partnerships with senior technical leaders — including engineering stakeholders with deep domain expertise.
Facilitates alignment across functional boundaries and communicates program strategy with clarity at the senior director level.
Aligns complex learning initiatives to business priorities; considers upstream and downstream impacts on workforce capability.
Translates ambiguous technical business problems into structured learning solutions with defined outcomes.
AI tools should be integrated across all major L&D workflows as standard practice — stakeholder analysis, program scoping, content creation, evaluation synthesis.
Optimize their own AI-enabled approach and assist peers in earlier stages of adoption.
Candidates who can speak to AI use cases specific to technical learning audiences — including learning experiences designed to build AI literacy in others — will stand out.

Nice To Haves

Experience in a technology company, AI/ML environment, or engineering-heavy organization strongly preferred.
Familiarity with AI, machine learning, cloud infrastructure, or GPU computing is a strong differentiator for this role given the Sunnyvale context.
Candidates who can speak to AI use cases specific to technical learning audiences — including learning experiences designed to build AI literacy in others — will stand out.

Responsibilities

Lead the design and development of multi-modal technical learning programs — instructor-led, self-paced, blended, and on-the-job — for assigned learner populations at the Sunnyvale hub.
Translate complex AI infrastructure concepts into accessible, high-quality learning experiences for both technical and cross-functional audiences.
Conduct rigorous needs analyses with technical 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 in Sunnyvale; build trusted relationships with engineering leaders, technical SMEs, and cross-functional partners.
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 Technical Development LP Lead (Dallas) 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 technical learning programs with credibility and adaptability, including for technically sophisticated engineering audiences.
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 technical 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 technical subject matter and stakeholder dynamics in highly technical environments.