Senior Revenue Enablement Specialist

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 Sr. Revenue Enablement Specialist helps scale DataRobot’s go-to-market effectiveness by ensuring our customer-facing teams have the skills, tools, and insight needed to communicate the value of the DataRobot platform as the AI market evolves. This role designs and delivers enablement programs that accelerate seller readiness, strengthen field execution, and drive measurable revenue impact.

Key Responsibilities:

• Accelerate Seller Readiness

  • Design and manage onboarding and ramp programs that enable new sellers to quickly reach productivity with a strong understanding of DataRobot’s value proposition.

• Drive Field Excellence

  • Implement and operationalize sales methodologies, playbooks, and enablement programs that support DataRobot’s global go-to-market strategy.

• Deliver Product & GTM Enablement

  • Partner with Product, Marketing, and Sales leadership to create enablement programs for new product launches, GTM motions, and role-specific skill development.

• Build High-Impact Enablement Content

  • Develop compelling training materials, sales narratives, and learning experiences that help the Revenue organization clearly communicate DataRobot’s differentiated value.

• Manage Enablement Systems & Measurement

  • Operate and optimize the global enablement technology stack to deliver scalable learning experiences and measure program impact on seller productivity and performance.

• Lead Certification Programs

  • Design and facilitate role-based certifications to ensure field teams confidently articulate DataRobot’s platform, solutions, and competitive differentiation.

Key Relationships:

This role collaborates closely with:

• Sales Leadership

• Product Management

• Marketing

• Revenue Operations

• Marketing Operations

• Subject Matter Experts across the organization

Knowledge, Skills and Abilities:

• Strong understanding of sales processes, seller productivity, and enablement best practices

• Ability to translate complex technical concepts into clear, compelling training content

• Excellent communication, presentation, and content development skills (Google Workspace proficiency required)

• Strong program management and organizational skills

• Experience managing enablement platforms (e.g., Highspot or similar CMS/LMS tools)

• Ability to operate effectively in a fast-moving, evolving environment

• High ownership mindset with strong attention to detail and execution

• Ability to leverage modern AI productivity tools (e.g., Gemini) to improve outcomes

• Willingness to travel as needed (~30%) and support in-person enablement sessions (e.g., bootcamps, QBRs)

Requisite Education and Experience / Minimum Qualifications:

• Bachelor’s degree or equivalent experience

• 3+ years of experience in sales enablement, sales training, or a revenue-facing role

• Experience building or managing enablement programs that improve seller productivity or win rates

• Strong cross-functional collaboration skills with experience partnering across Sales, Product, and Marketing

• Interest in or exposure to AI/ML and the evolving AI technology landscape

Compensation Statement

The U.S. annual compensation range for this full-time position is between $93,500 and $152,250 USD/year. This range represents the annual base salary. 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

All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings.

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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