AI Support Engineer, DataRobot
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Value-Driven AI for business
Be an early applicant
Value-Driven AI for business
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- The person is an excellent communicator, technically astute, with an outstanding ability to troubleshoot complex issues
- Bachelor in Computer Science, Engineering, Statistics, Data Science, or equivalent
- 2+ years of industry customer support experience
- Strong verbal and written communication skills
- Ability to work with product/engineering and communicate customer requirements
- Hands-on experience with SalesForce ServiceCloud
- Linux administration and enterprise network engineering
- Experience with troubleshooting software deployed to the Linux environment. Ability to read and monitor logs and system usage
- Knowledge of Python to be able to read and develop basic scripts
- Understanding of ML model training lifecycle and experience using AI tools
Desirable
- Support experience with Data Science, Machine Learning, or Artificial Intelligence applications
- Incident management experience on SaaS platforms
- Experience with IAAS providers (AWS, Azure, Google Cloud platforms)
- Experience with database management and troubleshooting (SQL, NoSQL)
- Hands-on experience with Docker
- Hands-on experience with troubleshooting Kubernetes-based applications
What the job involves
- We are searching for an AI Support Engineer who enjoys working with data and helping users solve complex problems
- This is a customer-facing position and will require the ability to interact with customers daily during scheduled working hours or during an escalated incident
- The AI Support Engineer will work closely with developers to reproduce problems and deliver fixes
- At DataRobot, we also apply our own AI tools to better service customers
- Therefore, we are seeking candidates passionate about providing support and building tools that use the DataRobot Platform to provide an unprecedented support service
- This is an exciting opportunity to join a leader and work at the forefront of Artificial Intelligence
- As an AI Support Engineer, you will be working with data scientists, data engineers, developers, and IT to help solve the most challenging AI, data preparation, machine learning, and data science problems
- Provide customer support to DataRobot AI Platform users via the SalesForce ServiceCloud ticketing system during 8 AM UTC - 5 PM UTC (10 AM - 7 PM Ukraine) working hours
- Help customers over email or Zoom/Webex meetings to facilitate issue resolution
- Work with product, engineering, and data science teams to resolve customer issues
- Create workarounds when standard procedures have failed and ensure issues are solved in a timely manner
- Document customer issues and resolutions, create knowledge base content related to software usage
- Participate in AI Support projects to develop models and tools to automate and improve customer service
- Weekend Severity 1 on-call rotation
- Participate in production incidents (IR) on the DataRobot MTS (SaaS) platform as an Incident Communicator
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
-35% employee growth in 12 months
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.
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