AI Support Engineer II

Reposted 18 Days Ago
Be an Early Applicant
Hiring Remotely in Japan
Remote
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
The AI Support Engineer II will provide customer support for the DataRobot AI Platform, troubleshoot complex issues, work with technical teams, and automate customer service processes, requiring strong communication skills in both Japanese and English.
Summary Generated by Built In

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. 

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 and partners daily during scheduled working hours or during an escalated incident on the weekend. The AI Support Engineer will work closely with developers to reproduce problems and deliver fixes. The person is an excellent communicator, technically astute, with an outstanding ability to troubleshoot complex issues.

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 problems.

Key Responsibilities:

  • Provide customer support to DataRobot AI Platform users via the SalesForce ServiceCloud ticketing system during 09:00 AM - 05:00 PM JST (12 AM  - 8 AM UTC)

  • 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

  • Collaborate with regional partners to resolve outstanding issues and engage the in-house Partner Enablement team to drive operational excellence.

  • Contribute to the design and scale agentic workflows to automate complex internal queries, while establishing a continuous feedback loop for support bot optimization and performance tuning.

  • Professional proficiency in both Japanese and English (written and verbal) is required.

Knowledge, Skills & Abilities:

  • Bachelor in Computer Science, Engineering, Statistics, Data Science, or equivalent.

  • 3+ years of industry customer support experience

  • Hands-on experience with troubleshooting Kubernetes-based applications

  • Knowledge of cloud infrastructure providers (AWS, Azure, Google Cloud)

  • Linux administration, networking, and containerization (Docker).

  • Python scripting skills for automation and debugging purposes.

  • Experience using AI tools in daily operations and support tasks

  • Excellent verbal and written communication skills to interact with technical and non-technical audiences.

Nice to have:

  • Support experience with AI / ML enterprise applications

  • Understanding of AI / ML model training lifecycle

  • Incident management experience on SaaS platforms 

  • Experience with Mongo, Postgres, and Redis database support and troubleshooting

  • Hands-on experience with SalesForce ServiceCloud 

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.

Skills Required

  • Bachelor in Computer Science, Engineering, Statistics, Data Science, or equivalent
  • 3+ years of industry customer support experience
  • Hands-on experience with troubleshooting Kubernetes-based applications
  • Knowledge of cloud infrastructure providers (AWS, Azure, Google Cloud)
  • Linux administration, networking, and containerization (Docker)
  • Python scripting skills for automation and debugging purposes
  • Excellent verbal and written communication skills in both Japanese and English

DataRobot Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DataRobot and has not been reviewed or approved by DataRobot.

  • Fair & Transparent Compensation Pay is described as competitive and often positioned as fair relative to comparable roles, with salary bands that can reach the upper end for certain positions. Overall compensation is also framed as strong enough to attract and retain top talent.
  • Equity Value & Accessibility Equity is consistently included as part of the compensation package, with restricted stock awards and stock-related programs featured as meaningful components. The presence of equity for employees is treated as a key differentiator in total rewards.
  • Healthcare Strength Health, dental, and vision coverage are presented as comprehensive, and the overall benefits bundle is portrayed as strong. Additional coverage like pet insurance further reinforces the breadth of healthcare-related support.

DataRobot Insights

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The Company
Boston, MA
1,610 Employees
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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