Principal Product Manager, DataRobot
AI Platform
$184.5-289k
Value-Driven AI for business
Open for applications
Value-Driven AI for business
1001+ employees
Open for applications
$184.5-289k
1001+ employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- 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
- Have introduced radical new products (0 to 1) to end customers in previous roles that have dramatically changed market dynamics
- Knowledge of the AI/ML landscape for on-premises and cloud infrastructure, with the ability to 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
Desirable
- 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
What the job involves
- The Principal Product Manager, AI Platform will support the organization in building foundational capabilities to support deep learning and generative AI in DataRobot
- You will play a pivotal role in shaping the development and implementation of a Kubernetes-based platform for creating AI models and applications
- As part of this, you will also be responsible for programs that leverage these foundational capabilities across different departments within the company
- The Principal Product Manager, AI Platform 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
- 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 foundational infrastructure that would be used for creating machine learning (ML)/artificial intelligence workloads such as computer vision, NLP, speech/audio, or personalization
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognized as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company values
- Be You - We are co-contributors to our culture committed to diversity, inclusion, equity and a sense of belonging throughout our global community. We value each person as their authentic self and welcome honest and respectful dialogue as an avenue to greatness.
- Dream Big - We don’t settle for the status quo. We always pursue the development of the next version of ourselves. We believe investment in the growth and resilience of our people is the foundation of building an iconic company.
- Better Together - We celebrate success and learn from failure as one team. We foster an aligned, collaboration-first workplace by building trust through transparency, integrity and accountability
- Champion Customers - We empower our customers and our communities by shaping the future of trusted, augmented intelligence in order to solve their most difficult problems. We are humble, not complacent. We succeed when they succeed.
- Be Data-Driven - We believe data-driven decision making enables innovation and execution at velocity while ensuring repeatable success. We take on the toughest challenges as we transform the world with our platform and AI.
Company HQ
Financial District, Boston, MA
Articles
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
Salary benchmarks
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