DataRobot

Principal Product Designer

Job description

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.

We are seeking a talented Principal Product Designer to help us build the future of predictive and generative AI development tools. This is an exciting role and a chance to join the company at a pivotal time. We are a well-funded late-stage startup that is scaling rapidly with an extensive market opportunity in sight.

Our product is currently used by a third of the Fortune 50, and our customers' use cases span from anticipating user behaviour at the world's largest banks, to accelerating visual inspection of equipment at large manufacturers and helping customers to build customized LLMs that solve real-world problems.

You will work with a talented team within DataRobot that is developing new workflows for predictive and generative AI while translating customers' needs into better tools. The ideal candidate has practical knowledge of AI/ML and previous experience working with design, PM and engineering teams in an enterprise software environment.

Key Responsibilities:


  • Lead design through the entire product lifecycle, collaborate closely with other designers, engineers, and PMs to create new product features and workflows. This includes managing technical constraints and making informed, balanced tradeoffs.
  • Influence a market-leading product. Design has a seat at the table in DataRobot, this is an opportunity to add significant impact. You have a solid understanding of what makes a great product and are comfortable collaborating with peers in PM and engineering to define our strategy.
  • Apply user-centric design techniques to tackle big problems, you have experience in planning and conducting design research interviews and workshops, as well as synthesizing the results.
  • Employ systems thinking to simplify complexity and move from ambiguity to clarity. You have experience leading cross-functional workshops to accomplish this.
  • Elevate the team. You’re a leader for design craft and quality. You are passionate about creating the best possible user experience while constantly learning and bringing fresh ideas to the team.
  • Mentor other designers to help them develop their skills and progress in their careers.
  • Communicate your design process and decision-making rationale articulately. This is especially important since we are a remote-first company.


Key Relationships:


  • Product design, Product management and engineering teams along with customer-facing teams and DataRobot customers.


Knowledge, Skills and Abilities:


  • Proficient in standard design tools
  • General understanding of AI/ML technologies and workflows.
  • Excellent communication and leadership skills.


Requisite Education and Experience / Minimum Qualifications:


  • 7+ years experience as a product (UX or interaction) designer in enterprise software.
  • Portfolio or presentation of case studies that demonstrate your process and the impact of your work. We understand confidentiality limitations so a 1:1 walk-through of non-confidential information is fine.
  • Experience in a fast-paced startup or scaleup environment.
  • Experience in working with remote development teams.
  • Experience managing other designers.
  • Experience designing highly technical and B2B software products.


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.

All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.

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.

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