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Provide timely technical support through email, live chat, and forums. Triage bugs and feature requests, meet customer response SLAs, troubleshoot issues with engineering and product teams, identify documentation improvements, and build expertise in the Weights & Biases product. Participate in a 24/7 weekend on-call rotation while using Python and machine learning tools to assist customers.

Serves as a technical lead for customers using CoreWeave cloud infrastructure, with emphasis on Kubernetes in high-performance computing environments. Responsibilities include designing and deploying tailored solutions, leading proofs of concept, optimizing AI/ML workloads, conducting technical reviews, advising on product strategy, collaborating with engineering teams, and representing CoreWeave at industry events.

Leads market research and intelligence for CoreWeave’s B2B AI cloud business. Responsibilities include sizing TAM and SAM, tracking competitive share, conducting brand and audience research, identifying influential buyer personas, developing market and account signals, and delivering dashboards and insights to marketing and sales. The role partners with Brand, Product Marketing, and Engineering to improve targeting, competitive positioning, go-to-market strategy, and adoption of market intelligence across campaign teams.

Owns high-priority, cross-functional initiatives from problem definition through implementation and measurement. Responsibilities include strategic analysis, research, executive communications, end-to-end project management, PMO oversight, risk identification, stakeholder coordination, process improvement, and decision support. The role operates as an internal consulting function supporting executives and business teams across initiatives such as IPO preparation, M&A integration, product development, communications, and change management.

Lead the design and delivery of production machine learning systems for infrastructure observability, troubleshooting, and optimization. Develop anomaly detection, time-series analysis, event correlation, recommendations, ranking, and root-cause inference capabilities. Build evaluation frameworks, data pipelines, feature workflows, model-serving services, monitoring, and feedback loops. Integrate ML with telemetry platforms and customer-facing products, establish engineering standards, mentor engineers, and influence technical roadmaps across teams.

Leads systems engineering teams developing high-throughput file, block, and object storage for AI cloud infrastructure. Drives architecture, performance tuning, latency optimization, benchmarking, and 10x scaling across distributed storage systems. Provides technical mentorship, performance management, recruitment, and cross-functional leadership while maintaining a coding-focused culture and maximizing GPU utilization.

Own and grow a portfolio of 15–30 active infrastructure and software customers. Manage account health, retention, renewals, expansion, adoption, forecasting, and revenue performance. Build multi-threaded relationships, negotiate commercial agreements, identify upsell opportunities, and coordinate technical, support, product, and professional services teams to deliver customer outcomes. The role requires experience managing multiple technology accounts and driving recurring revenue growth across cloud, infrastructure, and SaaS offerings.

The Compensation Lead designs, benchmarks, administers, and governs executive and non-executive compensation programs. Responsibilities include maintaining salary structures and job architecture, managing merit, bonus, and equity cycles, supporting offers and retention decisions, partnering with Finance, Talent Acquisition, and HRBPs, and advising senior leaders. The role also oversees compliance, compensation budgeting, market analysis, and executive compensation recommendations while handling sensitive pay data with discretion.

Own global cash accounting, bank and clearing reconciliations, payment accounting, restricted cash, debt-service reporting, and cash-flow support. Manage SOX 404 controls, risk-control matrices, audit relationships, and scalable control frameworks. Lead close activities in FloQast and NetSuite while automating reconciliations, transaction classification, exception handling, and evidence gathering with AI. Partner with Treasury, Finance, auditors, and cross-functional teams to improve systems, controls, accuracy, and close speed.

Embed with customer AI teams to design, prototype, and productionize AI agents using W&B Weave. Advise on architecture, build reference implementations and demos, run technical workshops, gather field feedback for product roadmap, and troubleshoot customer environments.