
Director, Customer Growth
Primary stack
Job description
About the Position
The DataRobot Sales team has a powerful impact on the company’s bottom line - and not just on our own company. The Revenue team also impacts our clients who see extraordinary ROI from our products. Our people sell an industry-defining solution that has the power to change outcomes for organizations all over the globe. And they're backed by a passionate team of top engineering and support professionals who help close complex deals. We provide valuable insights to inform strategic decision-making and drive revenue growth.
We are seeking a Director of Customer Growth to lead our sales team in driving customer retention, incremental revenue growth, and net-new sales.
Responsibilities
- Holistic portfolio growth: Drive a strategy for both incremental sales within the existing customer base and net-new business acquisition. Act as a player-coach who is comfortable leading strategic conversations for both new and existing clients, particularly concerning their generative and agentic AI initiatives.
- AI-focused account and business strategy: Develop and execute a growth plan emphasizing identifying, pursuing, and closing incremental sales within the existing portfolio, while also targeting and acquiring new clients based on the market's adoption of AI.
- Subject matter expert on customer AI strategy: Serve as a domain expert on how customers are leveraging agentic and generative AI. Advise both current and prospective clients on how to integrate our products and services into their AI stack to deliver measurable business outcomes and accelerate their AI transformation.
- Team leadership and coaching: Lead, mentor, and coach a team of Account Managers, ensuring the team is proficient in both incremental and new business development. Ensure they can identify customer AI strategies and drive complex, AI-driven conversations.
- Partnership and solution design: Act as a strategic partner, engaging with C-level and technical leaders to co-innovate and design AI-centric solutions for both existing customers and potential new clients.
- New business intelligence: Leverage insights and success stories from the existing customer base to develop targeted new business strategies and compelling value propositions for prospective clients.
- Predictive risk management and retention: Utilize data-driven insights to monitor client health, proactively identify potential churn risks, and manage growth opportunities.
- Cross-functional collaboration: Partner closely with Sales on new business opportunities, and with Customer Success, Product, and Marketing to deliver a seamless, high-value experience that helps customers achieve their AI-driven goals.
- Performance monitoring and reporting: Track key metrics, including customer retention, expansion revenue, new business revenue, and pipeline performance, with a specific focus on growth driven by AI-focused initiatives.
Requirements
- Proven experience in a senior account management or sales leadership role, with a strong focus on both driving incremental revenue and acquiring new logo business.
- Deep understanding of the generative and agentic AI landscape, including customer use cases, market trends, and implementation challenges.
- Exceptional ability to engage and influence C-level and senior technical stakeholders by clearly articulating how AI-centric solutions drive business value.
- Experience developing and executing both account expansion and new business strategies that successfully incorporate AI and deliver measurable business outcomes.
- Excellent leadership, communication, and cross-functional collaboration skills.
Nice to Have
- Experience in SaaS, AI/ML, or enterprise technology environments.
We Offer
- Competitive pay and benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- And more!
About the Company
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.
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.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
Locations
- Texas, US
- Seattle, WA, US
- Boston, MA, US
- San Francisco, CA, US
- Remote
Apply now
© DataRobot. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
DataRobot is a Boston-based tech company with 13+ years on AI&ML market. We have offices all around the globe in the US, EMEA and APAC. We developed an automated machine learning platform that helps data scientists and analysts build and deploy better predictive models and improve discoverability of valuable business insights.DataRobots works with global brands, like Mitsubishi Heavy Industries, Nippon Steel, Airbnb, United Airlines, Panasonic, and others. We enable advanced predictive analytics at many Fortune 500 enterprises, including largest US banks, insurers, fintechs, energy companies, and healthcare institutions.The people that work at DataRobot include top talent in machine learning, big data analytics, business operations and various technologies that enable the data-driven enterprise. Our Engineering team as a core fundamental department, upon which the company was built, plays a vital role in bringing technical expertise to the organization. Our individuals represent some of the industry’s brightest and most innovative minds in a variety of domains like Data Science, Front-end and Back-end engineering, Global Platforms, and many others. We work on multiple aspects such as software development, system architecture, database management, and technology infrastructure to enable the next generation of AI.Our employees frequently attend and speak at various industry events, meetups, and conferences, like Fwdays, PyCon Ukraine, KyivPy, and many more.Our startup is a dynamic enterprise, so we’re always on the lookout for top programming and business talent. If you want to join a highly motivated and incredibly productive team in a rapidly growing tech company with a product that revolutionizes data science, machine learning, and analytics — feel free to reach out at[email protected].
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