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 Enablement Data Scientist, Generative AI, will support DataRobot’s generative AI initiatives by developing, providing, and maintaining hands-on expertise in our generative AI technologies. You will work cross-functionally across Product, Product Marketing, Engineering, and our Applied AI Experts team to (1) educate the Customer Success team on the technical capabilities of our generative AI solutions as well as caveats, (2) identify and surface solvable technical friction and unexpected opportunities or synergies in service of product development, and (3) serve as a generative AI SME for product marketing’s joint value propositions.

Our generative AI initiatives are a key area of DataRobot’s growth and revenue potential, and we expect you to own this enablement category. That involves proactively identifying concepts that require enablement, designing effective assets for the field, and measuring their impact. Our ideal candidate is excited to learn new technologies, unafraid of diving deep into documentation, and energized by working across multiple teams and functions. The ideal candidate will have a proven track record of breaking down complex problems into steps that drive organizational learning and product development. The ideal candidate will also understand prompt engineering, build domain-specific models leveraging (ideally) vector search, and/or have experience with fine-tuning LLMs (Large Language Models).

Key Responsibilities:

• Lead technical discussions and be a thought leader during technical enablement sessions.

• Conduct hands-on workflow proofs with generative AI technologies and document your findings.

• Create assets, such as hands-on labs, to educate the Customer Success team on the technical aspects of generative AI.

• Establish, with repeatable methodology, an impact measurement of your workflows.

• In partnership with PMM, communicate with Product about generative AI roadmaps, potential integration opportunities, and limitations/frictions observed during hands-on work.

• Establish and maintain a Slack support presence, particularly for Customer Success generative AI questions.

• Manage and surface volunteer contributions as available from the field.

• Support Customer Success teams in sales, retention, and expand opportunities with regards to generative AI solutions.

• Collaborate with your Competitive Intelligence teammate on overlapping technical efforts in generative AI to scale shared efforts by reducing workflow duplication and minimizing vendor costs.

Required Skills:

• Strong understanding of data science, machine learning, and AI technologies, focusing on generative AI.

• Hands-on experience with one or more cloud providers: AWS, GCP, or Azure.

• Fluent in Python and SQL.

• Ability to collaborate effectively with cross-functional teams in a fast-paced, dynamic environment.

• Exceptional attention to detail when reviewing technical documentation, bug hunting, and generating internal documentation.

• Excellent stakeholder management and relationship-building skills.

• Exceptional communication and presentation skills, with the ability to translate technical concepts for diverse audiences.

• Strong project management and organizational skills.

• Some travel may be required (e.g., to AWS re:Invent).

Preferred Skills:

• Prior experience in a SaaS or technology-focused company.

• Experience in the healthcare, retail, and/or financial services industries.

• Familiarity with industry trends and emerging technologies in generative AI.

• Minimum 4 years of experience as an applied Data Scientist.

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 (https://www.datarobot.com/privacy/applicantpolicy/) .

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.

DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @ datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond.

Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels.

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