Principal Product Manager, AI Data

Posted 4 Days Ago
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Boston, MA
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
The Principal Product Manager, AI Data will lead the development and implementation of data capabilities supporting AI/ML projects. Responsibilities include engaging with stakeholders to drive product strategy, managing end-to-end project plans, and executing data transformation initiatives to enhance business value through AI.
Summary Generated by Built In

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 Principal Product Manager, AI Data will support the organization in building data capabilities to support deep learning and generative AI in DataRobot. You will play a pivotal role in shaping the development and implementation of ingestion and transformation of business-critical data for AI models and applications. As part of this, you will also be responsible for programs that leverage these data capabilities across different departments within the company.

The Principal Product Manager, AI Data will work closely with stakeholders across all parts of the business including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams to execute growth projects and new products and features. The ideal candidate will have a proven track record of breaking down complex problems into steps that enable customers to leverage their data and AI/ML to create business value. The ideal candidate will have experience with taking customers from big data/data analytics workloads to AI/ML production, including using that experience to iterate on data ingestion and transformation.

 

Key Responsibilities:

  • Lead technical discussions and be a thought leader during product reviews

  • Integrate your technical knowledge, subject matter expertise and understanding trends to make sound decisions and influence business direction through data-driven analysis.

  • Responsible for designing and executing process and strategy frameworks that facilitate product-related goal setting, decision making and business impact. Develop and manage end-to-end project plans and ensure on-time delivery.

  • Articulate to stakeholders your team’s technology vision, requirements, goals and milestones.

  • Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases.

  • Own the execution of or applying data ingestion and/or transformation to machine learning (ML)/artificial intelligence workloads such as computer vision, NLP, speech/audio, or personalization.

Knowledge, Skills and Abilities:

  • Have introduced radical new products (0 to 1) to end customers in previous roles that have dramatically changed market dynamics.

  • Knowledge of Big Data and AI/ML landscape and can shape strategy and engage with stakeholders.

  • 8 years experience in product management with technical products

  • Bachelor’s degree

  • Minimum 8 years experience as a technical product manager or managing delivery of technical capabilities

Nice to have:

  • An active secret clearance (or higher)

  • Masters’ degree in Engineering or Data Science

  • MBA

  • Minimum 4 years of experience working with cloud services for Data and 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.

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.

Top Skills

AI
Ml
The Company
Boston, MA
1,610 Employees
On-site Workplace
Year Founded: 2012

What We Do

DataRobot is the AI Cloud leader, delivering a unified platform for all users, all data types, and all environments to accelerate delivery of AI to production. Trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies globally.

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