Lead and develop a team of AI Deployment Managers supporting strategic enterprise customers, owning the post-sale experience and driving high-impact deployment outcomes.
Compensation
The expected annual base salary range for this role is $245,000 - $280,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $350,000 - $400,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan.
Responsibilities
Hire, lead, and develop a team of AI Deployment, including onboarding, coaching, performance management, and ongoing skill development
Own post-sale account planning, with accountability for account health, usage, risk mitigation, and expansion pipeline generation
Act as an escalation point for complex deployments and high-stakes enterprise accounts; build lightweight, scalable processes that codify what works while preserving speed, flexibility, and low friction
Guide best practices around rollout strategy, prompt design, context configuration, and internal enablement
Partner closely with Sales and Field Engineering to deliver a seamless post-sale experience and support expansion opportunities
Requirements
Nice to have: managing ADM/TAM/CSM teams
Nice to have: familiarity with software development lifecycles
Lead the EMEA Field Engineering organization, setting strategy, managing technical teams, and driving customer adoption of CoreWeave’s AI Cloud platform.
Responsibilities
Set and execute the EMEA Field Product & Engineering strategy
Act as senior field technology voice for EMEA
Lead account-aligned technical organization
Provide matrix leadership to specialist technical teams
Build a measurable technical mastery system
Requirements
Bachelor’s degree in computer science, engineering, or related field
New Business Development: Proactively prospect, qualify and build a high-velocity pipeline of enterprise customers across the Americas.
Customer Platform Transition: Identify accounts on legacy services and lead the commercial strategy to move them onto the Arbitr AI Context platform smoothly.
Account Expansion: Drive net retention and upsell revenue in active Arbitr accounts as their AI adoption and platform usage grow.
Full-Cycle Execution: Own the sales cycle end to end, from discovery and tailored product demonstrations through executive negotiation and close.
Vision-Led Selling: Be transparent about what the platform does today while confidently selling our roadmap and future-state vision.
Technical product leadership role owning the product strategy and execution for a commercial AI platform, including a secure PHI-ready model access layer, capability gateway, and agent harness.
Locations (3)
United States
Minneapolis, Minnesota, United States
Washington, D.C., District of Columbia, United States
Responsibilities
Own the product strategy, roadmap and measured outcomes for the commercial AI platform
Define the commercial shape of the platform — what ships as a product versus what is delivered as a service, SKU and tier definitions, entitlement models, metering, and pricing mechanics
Translate client demand, market signal and internal partner needs into a single prioritized backlog
Write requirements at a technical altitude: API and tool contracts, schemas, versioning and deprecation policy, conformance expectations, and SLOs
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