Vice President, AI Technical Success

Job Description:

DataRobot 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 at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot 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 DataRobot. The Technical Success team will work hand in hand with AI Engineers and App developers at customers to ensure customers achieve maximum value from DataRobot’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 managers, scale global teams, and drive organizational transformation.

• Strong executive presence with the ability to influence C-suite stakeholders internally and externally.

• Skilled in translating complex technical capabilities into clear business outcomes and ROI narratives.

• Proficient in building and operating against KPIs, financial models, and resource plans.

Requisite Education and Experience / Minimum Qualifications:

• 15+ years in post-sales technical/solution engineering/professional services roles (e.g., AI Engineer,  Solutions Consultant, Customer Success Engineering).

• 5+ years in people leadership roles, including managing managers and multi-regional teams.

• 3–5+ years in a senior leadership/executive role with direct accountability for revenue retention, adoption, or expansion metrics.

• Proven track record of building scalable technical success or professional services functions in high-growth SaaS companies.

• Bachelor’s degree in a technical, business, or related field (advanced degree preferred).

Compensation Statement

The U.S. annual on-target earnings (OTE) range for this full-time position is between $260,000 and $360,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job-related skills, experience, and education.

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. 

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

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