Glynn Capital
Glynn Capital

Senior Vice President Product Management



Multiple locations
Posted on Thursday, February 1, 2024

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.

Founded in 2012, Datarobot is the biggest pure-play AI vendor (ISV) in the market, and a long-term innovator in the AI. The SVP of Product will lead the entire Product Organization, helping to build a world-class technical team as we invest heavily in R&D this year. This role is your opportunity to make a name for yourself in the AI field and help drive our next phase of hyper-growth, as Datarobot revolutionizes the ever-changing landscape of artificial intelligence.

This is an exceptional opportunity for a seasoned SVP of Product to join as a member of the Executive Leadership Team, driving the product strategy, managing the product life cycle, and leading a high-performing product team. We are at an inflection point and this role will be critical to our business success within the next 12-18 months. We have set the stage for growth and now we want to step on the gas with your help.

The ideal candidate will have a proven track record of successfully bringing innovative cloud-native products and machine learning/data platforms/tools to market. Additionally, they should possess strong leadership and collaboration skills, having previously overseen roadmaps for a large engineering team and managed multiple product cycles with the same product.

Key Responsibilities:

  • Develop and execute a comprehensive product strategy aligned with the company's overall goals and objectives; define product roadmaps, prioritize features, and manage the entire product lifecycle from concept to end-of-life, particularly in the context of cloud-native and machine learning solutions.

  • Oversee multiple product cycles for the same product, ensuring continuous improvement and adaptation to market dynamics.

  • Collaborate with cross-functional teams, including engineering, marketing, sales, and customer support, to ensure successful development and launch of features.

  • Work closely with stakeholders to gather input and feedback, incorporating it into product strategy and roadmap decisions.

  • Conduct in-depth market and user research/analysis to identify emerging trends, customer needs, and competitive opportunities in cloud-native and machine learning domains.

  • Depth of knowledge in industry trends, market dynamics, and competitive landscape in one or more of Generative and Predictive AI, AI Lifecycle, AI ready data and Cloud Data Platforms.

  • Attract and engage world-class talent for the team and the broader organization. Mentor & develop teams, and inspire the career growth for top talent. Foster a culture of innovation, collaboration, and continuous improvement.

Requisite Education and Experience / Minimum Qualifications:

  • Bachelor's degree in Computer Science, Mathematics, or related fields or equivalent practical experience

  • 5+ years of experience in a Cloud native product (either hyperscaler or startup on cloud)

  • 3+ years of experience in SVP-level role managing Product team and driving roadmap for a large Engineering team, overseeing multiple product cycles with same product

  • Experience in Product managed machine learning or data platforms/tools and establishing “Product Market Fit”

  • Experience managing a global team

  • (Preferred) Transitioning from Enterprise Direct to PLG, On-prem to Cloud

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.

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