The Senior Director of Product & Engineering, EMEA leads all EMEA field technical functions, setting regional technical strategy and building technical mastery across AI infrastructure domains to serve AI infrastructure customers.
Compensation
competitive salary... total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program
Responsibilities
Set and execute the EMEA Field Product & Engineering strategy, operating model, and priorities
Act as the senior field technology voice for EMEA, shaping go-to-market priorities, customer engagement models, technical positioning, and regional investment decisions
Lead the account-aligned technical organization with direct accountability for organization design, performance, coaching, succession, hiring, retention, and leadership development
Provide matrix leadership to specialist technical teams, aligning priorities, coverage, engagement standards, and accountability
Build a measurable technical mastery system—including skills assessments, learning plans, communities of practice, playbooks, reference architectures, and proof frameworks
Requirements
Bachelor's degree in computer science, engineering, or a related technical 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
Staff/Senior Staff Technical Program Manager, Federal
Lead Technical Product Manager – Level 5 leading strategy, roadmap, and governance of McKesson’s unified AI platform built on Azure Machine Learning and Azure AI Foundry.
Compensation
€82,500 - €137,500
Responsibilities
Lead the product strategy, roadmap, and lifecycle management for a unified AI platform converging MLOps, Generative AI, and Agentic AI capabilities.
Translate emerging AI technologies, model advancements, and business demand into prioritized platform investments and delivery plans.
Drive developer experience as a product, creating self-service experiences, golden paths, reusable templates, SDKs, APIs, and onboarding journeys.
Define platform success metrics including adoption, platform reliability, time-to-first-model, developer productivity, and business outcomes.
Partner with data science, engineering, security, architecture, compliance, and business leaders to align platform capabilities with enterprise priorities.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent experience.
The expected hiring range for a Senior AI/ML Architect is $153K - $192K/year depending on skills, experience, education, and training; relevant licensure / certifications; and performance history. The bonus target for this position is 18%. The current full salary range for this role is $153K - $250K/year.
Responsibilities
Build and prototype AI solutions
Write production-quality code
Conduct technical evaluations of emerging AI technologies
Build proof-of-concepts
Establish AI architecture standards
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
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