As our Head of Global Supply Chain Planning and S&OP, you will be responsible for leading our 'Planning Excellence' Centre-of-Excellence (CoE) to transition our supply chain towards strategic maturity.

Key responsibilities

• Lead the CoE: Build and develop a high-performing Planning Excellence team, setting global standards, governance, and decision rules.
• Master the Planning Cycle: Own the monthly global S&OP / IBP cycle end-to-end, ensuring reliable inputs, clear trade-offs, and documented executive decisions.
• Standardize Methods: Define global standards for demand forecasting (statistical baselines) and supply planning (capacity constraints, inventory policies, and replenishment).
• Drive Transformation: Act as the business owner for the planning tool roadmap, leading the selection, implementation, and adoption of advanced planning systems.
• Scale Innovation: Translate advanced analytics and ML/AI innovations into scalable planning capabilities and measurable performance improvements.
• Enable Growth: Establish a 'single version of the truth' for planning data, ensuring transparency and alignment across Finance, Commercial, and Operations teams.

What we're looking for

• Expertise: 8–12+ years in Supply Chain Planning (S&OP, Demand, and Supply), ideally within the toys, consumer electronics, or multi-SKU consumer products industries.
• Transformation Track Record: Proven experience building or upgrading S&OP / IBP processes in low-maturity environments.
• Technical Proficiency: Deep hands-on knowledge of constrained supply planning, scenario management, and the implementation of advanced planning tools (e.g., Anaplan or similar).
• Future-Ready Mindset: Working knowledge of advanced analytics and scaling ML/AI use-cases in an operational environment.
• Leadership & Influence: Strong cross-functional facilitation skills and the ability to drive strategic decisions with senior leadership.

Benefits

• Global Teamwork: Collaborate across departmental and country borders on our vision to bring the Toniebox into every child's room in the world.
• Come as you are: This applies not only to the dress code but also to everything else. Because only where you truly feel comfortable can you give your best.
• Mobility: Choose the option that suits you best - a Deutschlandticket (public transport ticket) for unlimited mobility, a monthly contribution for an office parking space, a leasing bicycle, or a remote work subsidy.
• Enhanced Security: Benefit from subsidies for company pension plans, occupational pension schemes, and occupational disability insurance.
• Rest & Time Off: Enjoy 30 days of paid annual leave as well as three additional days off such as Rosenmontag, Christmas Eve, and New Year's Eve. After one year of employment, you can also use up to 10 'toniecation days' (unpaid leave days).
• Continuous Learning: Benefit from our internal and external training opportunities as well as an individual learning budget to continuously expand your knowledge.
• Language Learning & Relaxation: Improve your communication skills with the language learning app Babbel and find relaxation through our access to the meditation app Calm.
• Discounts: Benefit from attractive discounts on our entire range of tonies products.

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Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.

You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.

Responsibilities:

• Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
• Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
• Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
• Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
• Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
• Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
• Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity

You may be a good fit if you:

• Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
• Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
• Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
• Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
• Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up
• Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership
• Have a track record of building trust with engineering teams and driving changes through influence rather than authority

Strong candidates may also have:

• Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments
• Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
• Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management
• Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments

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Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.

You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.

Responsibilities:

• Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
• Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
• Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
• Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
• Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
• Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
• Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity

You may be a good fit if you:

• Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
• Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
• Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
• Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
• Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up
• Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership
• Have a track record of building trust with engineering teams and driving changes through influence rather than authority

Strong candidates may also have:

• Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments
• Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
• Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
• Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
• Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management
• Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments

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The Market Intelligence team operates at the intersection of technical infrastructure, product, data center development, and the global supply chain. The team provides forward-looking insights on markets, competitors, suppliers, customers, and macro forces to inform CoreWeave's infrastructure investments, product roadmaps, and supply chain strategies across GPUs, networking, power, cooling, and site development.

Key responsibilities include:

• Demonstrated leadership experience building and leading Market Intelligence or strategic analytics teams in AI, hyperscale cloud, or high-growth technology environments
• Proven track record delivering measurable value and cost savings across hyperscale or large-scale infrastructure supply chains
• Deep experience conducting competitive intelligence across neocloud and hyperscale cloud providers, including data center and supply chain strategies
• Strong expertise in supplier ecosystem analysis, including supplier financial health, capacity, pricing, lead times, and technology roadmaps
• Experience analyzing regulatory, public policy, utility, and geopolitical factors impacting global infrastructure supply chains and data center operations
• Advanced capability in strategic analytics and modeling, including demand forecasting, inventory optimization, and commodity procurement models
• Demonstrated ability to influence executive decision-making through data-driven insights and strategic recommendations

Preferred qualifications include:

• Recognized industry expertise through publications, conference speaking, or professional/academic recognition in operations research, supply chain, or market analysis
• Experience supporting both infrastructure strategy and customer acquisition or go-to-market planning
• Exposure to global site development, utilities, or large-scale data center construction ecosystems

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