Your responsibilities will include serving as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.

You will collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

You will lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

You will act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.

You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.

You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

You will represent CoreWeave at conferences and industry events, with occasional travel as required.

To be successful in this role, you will need to have a B.S. in Computer Science or a related technical discipline, or equivalent experience.

You will also need to have 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.

You will need to be fluent in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions.

You will need to have a proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences.

You will need to be familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL).

You will need to have experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes.

Preferred qualifications include code contributions to open-source inference frameworks, experience with scripting and automation related to Kubernetes clusters and workloads, experience with building solutions across multi-cloud environments, and client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures.

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Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

Represent CoreWeave at conferences and industry events, with occasional travel as required.

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Your primary responsibility will be to serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.

You will collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

You will lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

You will act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.

You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.

You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

You will represent CoreWeave at conferences and industry events, with occasional travel as required.

To be successful in this role, you will need to have a proven track record of working as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.

You will also need to have fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions.

In addition, you will need to have a proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences.

Preferred qualifications include code contributions to open-source inference frameworks, experience with scripting and automation related to Kubernetes clusters and workloads, experience with building solutions across multi-cloud environments, and client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures.

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Advocates at Figma are practitioners first - people who understand the complexity of modern product development firsthand and can advocate for user needs internally. This is a hands-on role that blends technical depth, communication, and strong product intuition.

You'll write production-quality code, build demos and tools, and directly support developers and technical teams. You'll also operate as a connective layer across functions - helping translate between customer needs, product decisions, and go-to-market execution.

This is a full time role in our Tokyo office, within a hybrid environment.

What you’ll do at Figma:

Partner deeply with Sales and GTM: Join customer engagements, unblock technical teams, and support high-impact deals involving Dev Mode, design systems, and the Figma API

Own regional technical presence: Play a leading role across JAPAC field events, activations, and key moments, representing Figma to developer audiences

Build real things: Create production-quality demos, prototypes, and tools that reflect how modern teams actually build, not just toy examples

Create scalable technical content: Author guides, code samples, and technical narratives that help developers adopt Figma in real workflows

Influence product direction: Bring structured, high-signal feedback from customers and the community into Product. Help shape features before and after launch

Bridge design and development: Help teams operationalize workflows across design systems, tokens, and developer tooling

We'd love to hear from you if you have:

5+ years technical front-end knowledge (should be committing code to a production level environment, not self taught alone)

English fluency (+ ideally one other language)

Strong written and verbal communication skills

Experience in creating technical content/delivering talks

Experience in product development workflows especially collaborating with design teams

Background in growth SaaS business

While it’s not required, it’s an added plus if you also have:

Design experience

Knowledgeable about design team + design systems workflows

Experience developing (Figma) plugins

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimisation and suggesting suitable solutions.

Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

Represent CoreWeave at conferences and industry events, with occasional travel as required.

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You will also be an integral part of achieving industry-leading end-to-end performance benchmarking publications: If MLPerf (Training & Inference), Working closely with NVIDIA (Megatron-LM, TensorRT-LLM & DGX cloud) and the open-source community (llm-d, vLLM and all popular ML frameworks) speak to you, come help us demonstrate CoreWeave's performance reliability leadership in the field.

Responsibilities

• Strategy & Leadership - Define the multi-year benchmarking strategy and roadmap; prioritize models/workloads (LLMs, diffusion, vision, speech) and hardware tiers. Build, lead, and mentor a high-performing team of performance engineers and data analysts. Establish governance for claims: documented methodologies, versioning, reproducibility, and audit trails.

• Perf Ownership - Lead end-to-end MLPerf Inference and Training submissions: workload selection, cluster planning, runbooks, audits, and result publication. Coordinate optimization tracks with NVIDIA (CUDA, cuDNN, TensorRT/TensorRT-LLM, Triton, NCCL) to hit competitive results; drive upstream fixes where needed.

• Internal Latency & Throughput Benchmarks - Design a Kubernetes-native, repeatable benchmarking service that exercises CoreWeave stacks across SUNK (Slurm on Kubernetes), Kueue, and Kubeflow pipelines. Measure and report p50/p95/p99 latency, jitter, tokens/s, time-to-first-token, cold-start/warm-start, and cost-per-token/request across models, precisions (BF16/FP8/FP4), batch sizes, and GPU types. Maintain a corpus of representative scenarios (streaming, batch, multi-tenant) and data sets; automate comparisons across software releases and hardware generations.

• Tooling & Automation - Build CI/CD pipelines and K8s controllers/operators to schedule benchmarks at scale; integrate with observability stacks (Prometheus, Grafana, OpenTelemetry) and results warehouses. Implement supply-chain integrity for benchmark artifacts (SBOMs, Cosign signatures).

• Cross-functional & Community - Partner with NVIDIA, key ISVs, and OSS projects (vLLM, Triton, KServe, PyTorch/DeepSpeed, ONNX Runtime) to co-develop optimizations and upstream improvements. Support Sales/SEs with authoritative numbers for RFPs and competitive evaluations; brief analysts and press with rigorous, defensible data.

Requirements

• 10+ years building distributed systems or HPC/cloud services, with deep expertise on large-scale ML training or similar high-performance workloads.

• Proven track record of architecting or building planet-scale data systems (e.g., telemetry platforms, observability stacks, cloud data warehouses, large-scale OLAP engines).

• Deep understanding of GPU performance (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth), model-server stacks (Triton, vLLM, TensorRT-LLM, TorchServe), and distributed training frameworks (PyTorch FSDP/DeepSpeed/Megatron-LM).

• Proficient with Kubernetes and ML control planes; familiarity with SUNK, Kueue, and Kubeflow in production environments.

• Excellent communicator able to interface with executives, customers, auditors, and OSS communities.

Nice to have

• Experience with time-series databases, log-structured merge trees (LSM), or custom storage engine development.

• Experience running MLPerf submissions (Inference and/or Training) or equivalent audited benchmarks at scale.

• Contributions to MLPerf, Triton, vLLM, PyTorch, KServe, or similar OSS projects.

• Experience benchmarking multi-region fleets and large clusters (thousands of GPUs).

• Publications/talks on ML performance, latency engineering, or large-scale benchmarking methodology.

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Mistral AI is seeking a Senior/Staff AI Developer Advocate to join our team and actively contribute to the community, with a focus on driving content around enterprise AI use cases.

Responsibilities

• Develop enterprise-focused, high-quality demos and sample code that enable developers to effectively understand and utilize Mistral AI’s products and integrations.
• Create and deliver high-impact technical content (webinars, demos, talks, workshops) to drive adoption and education among developers and enterprises.
• Actively engage with the developer community by resolving issues, providing answers, and offering guidance to users, fostering a supportive and collaborative environment.
• Design and execute enterprise DevRel strategies, including scalable programs and initiatives tailored to enterprise needs.
• Organize and participate in community events centered around Mistral AI solutions, with a focus on enterprise engagement.
• Remain informed about industry trends, best practices, and emerging technologies in AI, continuously updating your knowledge and skills.
• Establish thought leadership in enterprise AI transformation through strategic initiatives and developer education.

Requirements

• 6+ years of experience in DevRel, Developer Experience, Technical Evangelism, or Developer Advocacy.
• Enterprise experience: Background in enterprise environments or building for enterprise clients.
• Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Passion for AI, with a constant drive to stay updated and ahead of the curve.
• Top track record of technical writing and speaking, with strong communication skills to explain complex technical concepts in simple terms.
• Demonstrated ability to manage projects and lead them to successful completion.
• Willingness to travel ~25%

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A core part of your role involves leading the operational team to deliver high performance, aligned with the company’s mission to foster a safe, productive, and inclusive workplace culture. This is a site-based role involving regular outdoor work in varying weather conditions, with rotational availability required for operational oversight outside of standard working hours.

Responsibilities

• Provide day-to-day operational oversight of the site, leading the foreman and plant operators to ensure efficiency, compliance, and achievement of operational targets.
• Ensure full compliance with Health & Safety legislation, company policies, risk assessments, SSOWs, SOPs, and the Site Traffic Management Plan.
• Monitor composting processes and key parameters using SCADA and other systems, ensuring compliance with ABP, PAS 100, and APHA requirements.
• Oversee equipment inspections, LOLER compliance, planned preventative maintenance, breakdown response, and accurate maintenance records.
• Manage contractors, visitors, and suppliers on site, including inductions, permits to work, procurement, and stock control within budget.
• Lead health, safety, and environmental performance, including inspections, audits, incident investigations, pest control, and continuous improvement initiatives.
• Lead, motivate, and manage the operational team, including rotas, training, performance management, inductions, and workforce planning.
• Maintain effective communication and reporting, acting as a key site contact for regulators and stakeholders, and supporting audits, inspections, and community engagement.

Requirements

• Demonstrable supervisory experience within waste management, composting, recycling, or a similar industrial environment.
• Proven experience producing and delivering risk assessments, permits to work, SOPs, and toolbox talks.
• Experience maintaining accurate operational records and extracting data from SCADA or similar automated control systems.
• Previous responsibility for ordering and managing consumables, PPE, lubricants, and spare parts.
• Strong working knowledge of health and safety legislation applicable to high-risk industrial or waste environments, with a focus on good housekeeping and site standards.
• Experience using and completing internal learning platforms or training modules.

Benefits

• Ongoing career development, training and coaching – Because if you don’t grow, we don’t grow.
• Car or allowance.
• Competitive salary.
• Generous pension scheme.
• Retail and leisure discounts.
• Holiday and travel discounts.
• Life cover.

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