DataRobot Logo

DataRobot

Director, Customer Success Engineering

Posted Yesterday
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Director of Technical Success leads a team of Technical Success Managers, ensuring effective adoption and expansion of GenAI applications, aligning delivery with business outcomes, and driving customer value.
The summary above was generated by AI

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 Director of Technical Success leads the team of Technical Success Managers, ensuring the successful adoption, consumption, and expansion of deployed GenAI applications across enterprise customers. This leader plays a critical role in scaling post-sales technical impact, aligning technical delivery with business outcomes, and driving customer value realization. The Director partners cross-functionally with Account Management, Professional Services, Product, and Engineering to ensure a seamless customer experience that drives retention and growth.

Key Responsibilities:

 

  • Lead & Develop the TSM Team: Manage, coach, and grow a team of Technical Success Managers (levels I–III) across regions and accounts; establish clear expectations, skill development plans, and a high-performance culture.

  • Ensure Scalable Technical Impact: Drive consistency in delivery of technical enablement, adoption planning, and use case value realization across all customer engagements.

  • Customer Outcomes & Success Plans: Guide the team in building and executing success plans that deliver measurable business value, increase application consumption, and mitigate risk.

  • Operational Excellence: Implement and improve processes, metrics, playbooks, and tooling to ensure efficient team operations and consistent customer experiences.

  • Cross-Functional Leadership: Partner with Engagement Directors, Account Managers, and ProServ to align on customer strategy, expand usage, and support renewals and upsells.

  • Technical & Strategic Advocacy: Represent customer needs and technical feedback to Product and Engineering, influencing roadmap prioritization and closing adoption gaps.

  • KPI Management & Reporting: Track and report on key success metrics including app consumption rates, CSAT for technical enablement, team utilization, and customer health.

  • Drive Organizational Learning: Capture best practices, customer insights, and success stories to inform broader go-to-market strategy and knowledge-sharing across teams.

 

Knowledge, Skills and Abilities:

  • Deep understanding of GenAI or AI/ML platforms, post-sales solution delivery, and customer lifecycle value realization.

  • Strong people leadership skills with experience managing and scaling technical customer-facing teams.

  • Ability to translate complex technical concepts into clear business value for executive and practitioner audiences.

  • Excellent stakeholder management and communication skills across technical, business, and executive stakeholders.

  • Data-driven mindset with the ability to interpret product usage trends and customer signals to drive action.

 

Requisite Education and Experience / Minimum Qualifications:

  • 10+ years in post-sales technical roles (e.g., Technical CSM, Solutions Consultant, Customer Success Engineering), including 3+ years managing teams.

  • Experience in SaaS, AI/ML platforms, or enterprise software environments.

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

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.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

Top Skills

AI
Genai
Ml
SaaS

Similar Jobs

19 Minutes Ago
Remote
US
Mid level
Mid level
Artificial Intelligence • Healthtech • Conversational AI
The Head of Growth Marketing is responsible for brand positioning, B2B demand generation, content creation, and sales enablement, focusing on performance metrics in a remote setting.
Top Skills: AbmB2B MarketingContent MarketingMarketing Performance Metrics
2 Hours Ago
Remote or Hybrid
United States
140K-193K Annually
Senior level
140K-193K Annually
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead the strategy and engineering for enterprise authentication and external identity management, ensuring secure access through various platforms and technologies.
Top Skills: Microsoft Entra IdOauth2Openid ConnectPing IdentitySAML
2 Hours Ago
Remote or Hybrid
United States
140K-193K Annually
Expert/Leader
140K-193K Annually
Expert/Leader
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead the strategy, engineering, and management of enterprise privileged access and non-human identity security platforms within a global IAM organization, driving adoption and governance of PAM and NHI capabilities across various environments.
Top Skills: Automation FrameworksCyberarkDevOpsIdentity SecurityMicrosoft Entra IdPrivileged Access ManagementSecrets ManagementZero Trust

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account