Top Tech Jobs & Startup Jobs

Own the roadmap and execution for W&B Models, an experiment-tracking platform for AI researchers. Improve experiment organization, training visualization, monitoring, evaluations, and large-scale analysis across web and mobile. Conduct user research, translate ML workflows into product decisions, collaborate with engineering and design, and use data and feedback to launch polished, high-performing experiences. The role requires deep familiarity with ML research, technical product management, data visualization, AI tools, and developer or researcher audiences.

Lead executive and internal communications for the COO, serving as a strategic advisor and shaping leadership narratives, messaging, and organizational alignment. Draft executive remarks, business updates, Q&As, video scripts, and employee communications; support speaking engagements and change communications; partner with Marketing and External Communications; establish communication planning processes; and measure employee engagement effectiveness across a distributed operations workforce.

Lead an engineering team responsible for CI, build systems, artifact management, and release automation. Set technical direction, modernize developer workflows, improve reliability and performance, track delivery metrics, manage technical debt, and drive adoption of platform capabilities. Mentor engineers through regular one-on-ones and career development while partnering with senior technical stakeholders. The role requires hands-on experience with scalable CI and build platforms, Kubernetes, cloud technologies, automation, and infrastructure as code.

Leads community engagement and partnership strategies across multiple markets, advising senior leaders on local risks, stakeholder sentiment, permitting, and development priorities. Builds relationships with officials, nonprofits, unions, businesses, and community organizations; negotiates community benefit and development agreements; oversees partnerships, investments, budgets, and engagement KPIs. Coordinates cross-functional teams across government affairs, communications, legal, development, operations, and people functions to support site selection, construction, permitting, and ongoing operations.

Provide legal counsel to CoreWeave’s U.S. West sales organization on complex cloud, SaaS, IaaS, PaaS, software licensing, partnership, and data processing transactions. Draft and negotiate commercial technology agreements, advise stakeholders on legal and commercial risks, support enterprise sales cycles, manage concurrent transactions, and improve contract templates, playbooks, policies, and processes. Coordinate with outside counsel and counsel senior business leaders on high-value and cross-border deals.

Lead CoreWeave’s product regulatory governance program and advise Product, Engineering, AI, Security, Supply Chain, and Operations teams. Responsibilities include reviewing products and AI capabilities, assessing international regulatory risks, embedding privacy, responsible AI, security, and data-governance requirements, advising on market entry and launches, monitoring global laws, and leading regulatory inquiries, audits, investigations, and remediation.

Own CoreWeave’s AI training infrastructure narrative, positioning, competitive messaging, customer evidence strategy, go-to-market approach, and sales enablement. Translate Kubernetes, scheduling, bare-metal performance, and distributed training capabilities into compelling messaging for AI research leaders, platform engineers, developers, and technical architects. Partner with technical teams on benchmarking, collaborate with Sales, Solutions Architects, and DevRel, and measure impact through deal velocity, contract value, competitive win rates, adoption, and retention.

Lead and coach a team of SDRs to drive outbound prospecting and manage inbound leads. Recruit, train, and ramp new reps, track performance metrics, collaborate with Sales and Marketing on pipeline strategies, and continuously refine SDR processes to scale outreach and career development.

Lead and grow the engineering team productizing and operating an inference offering. Drive roadmap execution with Product, improve reliability, observability, release and incident processes, integrate platform capabilities, and deliver developer-friendly tooling and application-layer enhancements to scale production ML workloads.

Lead and scale a Field Planning & Performance Center of Excellence for revenue: own GTM coverage and role design, territory/headcount/quota planning, sales incentive programs, revenue modeling and predictive forecasting, performance analytics, and global operating rhythms. Build and manage a high-performing team and partner with Finance, People, and regional RevOps to ensure consistent, data-driven planning and measurement across segments and geographies.