Account Director - East

DataRobot; New York (NY); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Time Off

Paid Parental Leave

Job summary

DataRobot is seeking an Account Director to drive growth within a portfolio of strategic, high‑value customers in the U.S. You will align with Engagement Directors and Technical Success Managers to deepen penetration, expand GenAI use cases, and maximize value from deployed AI applications.

The role requires enterprise software sales experience and a proven quota track record. You will lead cross‑functional efforts, coordinate forecasting and renewals, and build executive relationships to

Qualifications

• 12+ years of experience selling enterprise software solutions.
• 2+ years selling AI-powered services with an industry focus is a plus.
• Bachelor's degree or equivalent work experience.

Responsibilities

• Develop multi-year growth plans to expand usage and AI adoption.
• Uncover new GenAI use cases and drive application consumption.
• Identify high-risk accounts and re-engage with refreshed value narratives.

Skills

Enterprise sales

Executive relationships

Forecasting & planning

Cross-functional leadership

GenAI knowledge

Education

Bachelor's degree or equivalent work experience

Job description

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 Account Director is responsible for driving sustained growth within a portfolio of strategic, high-value customers. This role focuses on expanding wallet share through consultative engagement, maximizing value realization from deployed AI applications, and partnering closely with Engagement Directors and Technical Success Managers to deepen account penetration, identify new use cases, and reduce churn risk.

Key Responsibilities

• Growth Strategy: Develop and execute multi-year strategic plans to expand usage, cross-sell business applications, and increase AI maturity within assigned accounts.
• Application Expansion & Use Case Development: Partner with Engagement Directors to uncover new GenAI functional use cases, collaborate with Technical Success Managers to increase application consumption, and ensure alignment to outcomes.
• Churn Mitigation & Risk Management: Identify high-risk buying centers or stalled implementations and coordinate internal teams to re-engage customers with refreshed value narratives and delivery strategies.
• Cross-Functional Leadership: Orchestrate collaboration across Engagement Directors, Technical Success Managers, and Pre-Sales resources to ensure successful deployments, adoption, and measurable outcomes.
• Executive Relationship Management: Build and maintain trusted relationships with key customer executives and stakeholders to elevate DataRobot's position as a strategic partner in their AI journey.
• Industry Fluency & Vertical Selling: Leverage major/minor vertical alignment to bring consultative insight and guide customers through the AI adoption curve specific to their sector.
• Internal Coordination & Forecasting: Own account-level planning, forecasting, and renewal coordination in partnership with Engagement Directors; act as the single-threaded leader for strategic revenue growth across assigned accounts.

Knowledge, Skills and Abilities

• Prior sales responsibility within global or large enterprise accounts; with a consistent, proven track record of meeting/exceeding quota
• Ability to apply existing customer solutions into repeatable actions and leverage them within an industry sector; experience in FinServ or Heavy Industries is a plus
• Experience leveraging a variety of prospecting tools and techniques

Requisite Education and Experience / Minimum Qualifications

• 12+ years of experience selling enterprise software solutions; 2+ years selling AI-powered services with an industry focus is a plus
• Bachelor's degree or equivalent work experience

Compensation Statement

The U.S. annual on-target earnings (OTE) range for this full-time position is between $300,000 and $400,000 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

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