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Senior Product Manager, Operate AI

DataRobot

DataRobot

Software Engineering, Product, Data Science
Multiple locations
Posted on Saturday, January 20, 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.

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.

This role will be responsible for developing product strategy and execution for DataRobot’s Inference and Observability products. You will work closely with Engineering, Design and Data Science teams to design end-to-end product experiences for customers to use in Production. This includes software products for production data preparation, low latency real-time prediction, high throughput batch predictions, GPU platforms, and production orchestration.You will work closely to investigate key AI/ML Engineering pain points, validate them with customers, and build technical solutions for cutting edge Generative and Predictive AI workflows. You have experience with putting models into production, especially Deep Learning models, including deploying AI use cases at scale. You are also well versed in AI explainability and observability techniques that AI Engineers use to ensure safety and performance.

Key Responsibilities:

  • Create a compelling strategy and build a roadmap for our MLOps products with respect to Inference

  • Identify opportunities for product differentiation and market leadership within MLOps and Inference

  • Perform research on new MLOps techniques found in literature, as well as research on competitors

  • Drive product discovery by gather data on user activity and engage in experiments to understand users better

  • Drive product discovery by developing relationships with key customers to gain insights into how the product can improve

  • Work cross-functionally within the company to solve customer and business problems

  • Work with PM and Engineering counterparts at DataRobot partners like Microsoft, AWS, Google, SAP and more to develop compelling value propositions across the MLOps ecosystem

Knowledge, Skills and Abilities:

  • Experience with MLOps and Inference, deep knowledge of what it takes to put models into production

  • Knowledge of the market for Data Science, Observability and Analytics tools

  • Experience with Deep Learning and GPU technologies like CUDA and RAPIDS

  • Knowledge of AI/ML Pipelines technology and techniques

  • Excellent communication and leadership skills

  • Experience working with cross-functional teams including product, engineering, design, and marketing.

  • Proven track record of successful product management in the technology industry

  • Strong analytical skills with experience using data to drive decision-making.

Requisite Education and Experience / Minimum Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

  • 8+ years of experience in product management, with a focus on AI/ML

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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