Senior Vice President of Engineering

at  DataRobot

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.
Founded in 2012, DataRobot is the biggest pure-play AI vendor in the market, and continuous innovator in the AI field. The SVP of Engineering leads the entire Engineering Organization and will ensure that we continue to grow a world-class technical team of elite engineers. This role is an opportunity to make a name for yourself in the AI field and help drive our next phase of hyper-growth, as we position ourselves to revolutionize the ever-changing landscape of artificial intelligence.
As a member of the Executive Leadership Team, you’ll play a pivotal role in shaping and executing our AI strategy and overseeing the development of cutting-edge products and services. We’re investing heavily in R&D, offering you the opportunity to grow a world class team and lead our industry transformation. You will join a well-funded startup to help foster a culture of innovation, execution and collaboration within the RnD team, and continue to cultivate strong relationships with key stakeholders across the organization.
Join us to make a significant mark on your career, collaborate with Cloud and AI veterans, and enjoy unlimited growth potential in a dynamic, pioneering company. It’s not just a job; it’s a chance to make history.

Key Responsibilities:

• Set the overall engineering strategy for the entire engineering org consisting of a number of feature teams, Platform team, SRE and functional teams including Security, Compliance and PMO. Drive reengineering modernization efforts to build a world class SaaS system.
• Drive the overall product development strategy and architecture rooted in deep domain knowledge in one or more of Deep Learning, Generative AI and Big Data. Keep the organization at the forefront of all the latest advancements in AI, ML, NLP, LLMs, GenAI, and related technologies.
• Align strategy with business objectives, and ensure rapid delivery of quality results. Drive execution of the roadmap with resource allocation, project management and tech debt management, with high degree of reliability.
• Define and maintain a bar for technical excellence. Own budgets and planning.
• Partner with product organization to help synthesize company vision into a viable roadmap for feature teams.
• Actively engage with customers and collaborate with cross-functional stakeholders to identify opportunities for applying AI/ML/NLP to address critical challenges.
• Own Service Reliability and Drive Operational Excellence through metrics, process and culture of continuous improvement.
• Attract and engage world-class engineering talent for the team and the broader organization. Mentor & develop teams, and inspire the career growth for top talent. Foster a culture of innovation, collaboration, and continuous improvement.

Requisite Education and Experience / Minimum Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, or related fields or equivalent practical experience
• 5+ years of experience in a Cloud native product (either hyperscaler or startup on cloud)
• Experience building and delivering machine learning and/or data platforms/tools
• Experience managing a global team
• Operational excellence in running large scale systems
• 2+ years of experience in SVP-level role, managing Engineering team of 200-500 people, overseeing multiple product cycles with same product
• (Preferred) Overseen Product Support, SRE, Security
• (Preferred) Transition from Enterprise Direct to PLG, On-prem to Cloud.

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.
All applicant data submitted is handled in accordance with our
Applicant Privacy Policy

• Set the overall engineering strategy for the entire engineering org consisting of a number of feature teams, Platform team, SRE and functional teams including Security, Compliance and PMO. Drive reengineering modernization efforts to build a world class SaaS system.
• Drive the overall product development strategy and architecture rooted in deep domain knowledge in one or more of Deep Learning, Generative AI and Big Data. Keep the organization at the forefront of all the latest advancements in AI, ML, NLP, LLMs, GenAI, and related technologies.
• Align strategy with business objectives, and ensure rapid delivery of quality results. Drive execution of the roadmap with resource allocation, project management and tech debt management, with high degree of reliability.
• Define and maintain a bar for technical excellence. Own budgets and planning.
• Partner with product organization to help synthesize company vision into a viable roadmap for feature teams.
• Actively engage with customers and collaborate with cross-functional stakeholders to identify opportunities for applying AI/ML/NLP to address critical challenges.
• Own Service Reliability and Drive Operational Excellence through metrics, process and culture of continuous improvement.
• Attract and engage world-class engineering talent for the team and the broader organization. Mentor & develop teams, and inspire the career growth for top talent. Foster a culture of innovation, collaboration, and continuous improvement