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Customer Success Vice President, AI Technical Success US - Remote

Remote / Online - Candidates ideally in
Massachusetts, USA
Listing for: DataRobot, Inc.
Remote/Work from Home position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Customer Success Vice President, AI Technical Success  US - Remote |  [...]

Job Description

Data Robot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI aRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on Data Robot for AI that makes sense for their business — today and in the future.

The Vice President, AI Technical Success is an executive leader responsible for defining and executing the global strategy for enabling customers to rapidly adopt Data Robot. The Technical Success team will work hand in hand with AI Engineers and App developers at customers to ensure customers achieve maximum value from Data Robot’s Agentic platform. This role oversees a multi-regional team of AI Technical Success Managers, driving adoption, expansion, and long-term retention through scalable, high-impact post-sales technical engagement.

As a key member of the Customer Success leadership team, the VP partners cross-functionally with Account Management, Professional Services, Product, and Engineering to align technical delivery with business outcomes, drive customer value realization, and influence product strategy based on customer feedback. This leader will also be accountable for the function’s operational performance, P&L alignment, and organizational scalability as the company grows.

Key Responsibilities Strategic Leadership & Vision
  • Define and execute the global AI Technical Success strategy, ensuring alignment with company growth objectives and customer success metrics.

  • Lead the evolution of AI Technical Success to support new product offerings, emerging customer needs, and changing market conditions.

  • Represent AI Technical Success in executive forums and with strategic customers, influencing corporate priorities and GTM execution.

Team Leadership & Development
  • Lead, coach, and scale a multi-regional team of AISMs (I–III) and senior managers, fostering a culture of accountability, innovation, and customer obsession.

  • Establish clear career pathways, performance standards, and development programs for technical talent.

  • Recruit and retain top-tier leaders and practitioners, ensuring organizational readiness for rapid growth.

Operational Excellence
  • Develop and implement scalable processes, metrics, and tooling to ensure consistent, high-quality delivery across all engagements.

  • Drive utilization, capacity planning, and productivity metrics to maximize the team’s impact on adoption and expansion goals.

  • Oversee budget planning and resource allocation to align with business priorities and customer needs.

Customer Outcomes & Value Realization
  • Ensure delivery of measurable business outcomes through adoption planning, enablement, and ongoing technical engagement.

  • Establish and enforce success planning standards, integrating business objectives and product usage data to identify risks and opportunities.

  • Drive customer health improvements that directly influence retention, renewal, and expansion.

Cross-Functional & Executive Collaboration
  • Partner with Account Management, Professional Services, and Engagement Directors to create unified customer strategies that accelerate expansion and renewal.

  • Serve as the primary technical advocate for customers to Product and Engineering, influencing product roadmap and closing adoption gaps.

  • Collaborate with Marketing and Enablement to scale customer education and thought leadership.

Performance Management & Insights
  • Own key Success KPIs including application consumption rates, customer health scores, technical enablement CSAT, retention, and expansion.

  • Deliver quarterly business reviews to the executive team, highlighting performance, trends, risks, and growth opportunities.

  • Promote a culture of data-driven decision-making, leveraging telemetry and analytics to continuously improve performance.

Knowledge,

Skills and Abilities
  • Deep expertise in AI, Agents, GenAI engineering, SaaS delivery, and enterprise customer success models.

  • Exceptional leadership skills with a proven ability to manage, global teams, and drive organizational transformation.

  • Strong executive…

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