DataRobot is looking to solve the problem of enabling customers to rapidly adopt their AI platform, ensuring maximum value and minimizing business risk.
Requirements
- 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
- Experience with post-sales technical/solution engineering/professional services roles
- Experience with people leadership roles, including managing managers and multi-regional teams
Responsibilities
- Define and execute the global AI Technical Success strategy
- Lead the evolution of AI Technical Success to support new product offerings, emerging customer needs, and changing market conditions
- 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
- 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
Other
- 15+ years in post-sales technical/solution engineering/professional services roles
- 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
- Bachelor's degree in a technical, business, or related field (advanced degree preferred)
- Proven track record of building scalable technical success or professional services functions in high-growth SaaS companies
