Channel Alliances Manager
DataRobot
Channel Alliances Manager
DataRobot
Enterprise AI platform automating ML lifecycle
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.
Purpose & Overall Relevance for the Organisation:
The Channel Alliances Manager plays a critical role in the success of DataRobot’s Japan business, where the majority of customer transactions are driven through partners. This role is responsible for strengthening and scaling DataRobot’s partner ecosystem, ensuring partners are aligned to the company’s evolving go-to-market strategy, and driving measurable business outcomes across new logo acquisition, customer expansion, retention, and renewals.
As DataRobot’s go-to-market model continues to evolve, this individual will serve as a key strategic partner to our channel ecosystem—translating company strategy into clear partner priorities, enabling partners to effectively position and sell DataRobot solutions, and ensuring they have the knowledge, resources, and capabilities required to support customers throughout the lifecycle.
The successful candidate will combine strong commercial acumen, relationship management, partner enablement, and executional rigor. They will work closely with partner executives and managers, DataRobot Sales, Marketing, Customer Success, Professional Services, and other cross-functional stakeholders to build joint business plans, create pipeline, accelerate opportunities, and deepen long-term customer value.
Key Responsibilities:
Knowledge, Skills and Abilities:
Requisite Education and Experience / Minimum Qualifications:
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:
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.
DataRobot provides an enterprise AI platform that automates the end-to-end machine learning lifecycle, from data preparation to model deployment and ongoing governance. It uses Automated Machine Learning (AutoML) to test many algorithms in parallel and pick the best model, and it includes MLOps tools for deployment, monitoring, and compliance. The platform supports both code-first and no-code workflows and includes generative AI features such as a playground for comparing large language models and safety guard models. Its goal is to democratize AI by making advanced ML accessible to a broad range of users across industries, with scalable deployment on cloud or on-premises.
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