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 u2014 today and in the future. As a Senior Manager of MLOps (Governance, Monitoring and Deploy), you will lead teams focused on building, improving and optimizing DataRobotu2019s industry leading MLOps product. In this role youu2019ll be driving the development of our scalable, secure MLOps infrastructure that supports the end-to-end lifecycle of ML deployments. Youu2019ll partner closely with product managers, tech leads and other senior managers across teams to help shape the roadmap and ensure alignment across our organisation. The ideal candidate has a deep understanding of what it takes to run a robust production system for machine learning operations including expert understanding of cloud platforms and Kubernetes. They should be familiar with ML and Generative AI concepts as well as data pipelines and orchestration tools. We are looking for a strong technical leader that has first-hand experience with projects in a similar space. As a technical leader, you will collaborate with cross-functional teams to develop innovative, data-driven solutions and seamlessly switch between strategic planning and tactical execution. Key Responsibilities: Lead, mentor, and manage a team of backend, frontend and devops engineers specializing in MLOps (Governance, Monitoring and Deploy) Foster a collaborative and innovative team environment, upholding our Engineering Operating Principles. Drive team performance, professional development, and skills advancement. Conduct regular performance reviews, set goals, and provide constructive feedback. Provide technical direction on MLOps system architecture, model deployment options, and scaling solutions. Oversee the design and implementation of new features that meet requirements for scalability, performance, cost and reliability. Collaborate with cross-functional partners, including product and design, to prioritize and plan the MLOps teamu2019s work. Lead the teamu2019s project execution, ensuring alignment with business goals and timely delivery. Ensure quality of deliverables, upholding standards for code quality, model performance, and system reliability. Own and maintain the services and platforms developed and managed by the team. Accountable for system availability, setting up monitoring and alerting for key model metrics, and ensuring robust runbooks are in place. Act as the subject matter expert on MLOps infrastructure, helping address tactical issues as they arise. Work closely with product managers, data scientists, and other stakeholders to understand requirements and deliver MLOps solutions that meet business needs. Continuously seek opportunities to improve MLOps system performance, reduce cost or increase efficiency. Stay updated with the latest trends and technologies in machine learning, MLOps, and data science tools. Knowledge, Skills & Abilities: Production experience with operating cloud-based infrastructure on either AWS, Azure, GCP or Openshift (preferably more than one of those) Expert understanding of Kubernetes concepts at at least a CKAD level Proficiency in programming languages such as Python and Go Proven experience leading and mentoring a team of cross-functional software engineers. Track record of delivering complex software projects on time with effective team management. Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Demonstrated experience building cross-functional relationships and fostering consensus. Bacheloru2019s or Masteru2019s degree in Computer Science, Engineering, Machine Learning, or a related field or equivalent professional experience 7 years of experience in software engineering or MLOps 3 years of experience in a technical leadership or management role. Nice to Have: Familiarity with ML development and frameworks and tools such as TensorFlow, PyTorch, or Scikit-Learn Compensation Statement The U.S. annual compensation range for this full-time position is between $167,500 and $264,000 USD/year. This range represents the annual base salary. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidateu2019s work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobotu2019s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employeesu2019 well-being at the core. Hereu2019s 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. Weu2019d 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 Laboru2019s 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 delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform 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 u2014 today and in the future. For more information, visit our website (http://www.datarobot.com) and connect with us on LinkedIn (https://www.linkedin.com/company/datarobot/). _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 DataRobotu2019s 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._ Don't see the dream job you are looking for? 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