VP of Product, BuildAI

Washington, DC, United States

Job Description: DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. The VP of Product, Build AI will oversee and inform the strategic direction and execution of product initiatives focused on advancing the capabilities of DataRobot’s machine learning (ML) platform in Predictive AI (classical ML, NLP, Vision, etc.) and Generative AI (LLMs, RAG, etc.). The ideal candidate will have deep expertise in machine learning technologies, data science, and product management. They will drive innovation, partner with Engineering leadership to deliver high-quality results, and ensure our offerings align with market demands and customer needs. Key Responsibilities: Execution + Operations: Lead the development of cutting-edge ML tools and technologies, enabling users to build machine learning models efficiently and effectively. Spearhead initiatives to optimize data workflows and infrastructure, ensuring seamless access to high-quality data for ML projects Oversee multiple product cycles for the same product, ensuring continuous improvement and adaptation to market dynamics. Collaborate with peer functional teams, including engineering, marketing, sales, and customer support, to ensure successful development and launch of features.

Product Strategy: Develop and execute a product strategy for Build AI – the entire data science workflow from data analysis to transformation to training and tuning a model to evaluation and assessment of models while making sure that all AI artifacts are governed and can be put into production. Working closely with the Platform team to implement key capabilities for Training, Inference, … Prioritize features and enhancements that drive value for customers using input from cross-functional leaders. Engage with customers and industry stakeholders to understand their evolving needs and challenges in ML development and data management Incorporate feedback into product development efforts to deliver solutions that address real-world use cases

Data/AI/ML Domain Expertise Depth of knowledge in industry trends, market dynamics, and competitive landscape in Generative and Predictive AI and AI Lifecycle Drive the development of data preparation, feature engineering, data management, training, finetuning, prompt engineering, comparison, evaluation, and assessment capabilities within the DataRobot platform

People + Talent Attract and secure world-class talent for your team and the broader organization Mentor & develop teams, and inspire the growth of top talents Foster a culture of innovation, collaboration, and continuous improvement

Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Mathematics, or related fields or equivalent practical experience. Preferred: PhD in Data Science or related field 2+ years of experience in a Cloud-native product (either hyperscaler or startup on cloud). Enterprise software - experience with considering security & compliance in decision-making 5+ years of demonstrated success managing a team of high-performing professionals Experience in Product managed machine learning or data platforms/tools (not internal tooling) Worked with Data Scientists and ML Engineers to deeply understand the Data Science workflows and needs Preferred Experience: Experience with Machine Learning experimentation and production.

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. All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation. 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 .

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