DataRobot

Backend Engineer

• 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.
• Develop, test, and support features of DataRobot’s AutoML & GenAI platform
• Design and deploy infrastructure for new features and services in collaboration with your team
• Own and drive key projects and milestones while fostering a culture of abundant communication
• Seek, give, and receive critical feedback in a constructive manner, both formally and informally through code reviews, pair programming, and other ad-hoc collaboration
• Perform at a level where a manager can have high confidence in an engineer’s ability to deliver complex solutions on time, maintaining and contributing to an agreed-upon roadmap while managing technical risks and “keeping the lights on”
• Collaborate closely with product managers to distill requirements into actionable technical tasks and drive technical feedback on complexity and approaches
• Engage in Engineering On-Call to provide support for the services owned by the MLOps team

Senior Backend Engineer, MLOps, Deploy

Vice President

• 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.
• The Vice President, Professional Services – Federal is responsible for leading all professional services and data science delivery activities across the United States Federal Sector.
• This executive plays a critical role in shaping and executing the regional services strategy, ensuring world-class delivery of AI-driven solutions, and supporting revenue growth and customer success.
• The VP partners closely with Sales, Account Management, and the broader Senior Leadership Team to scale professional services offerings, achieve profitability targets, and drive customer value across international markets.
• Key Responsibilities: Collaborate with cross-functional field teams such as sales leadership, and Senior Leadership to build regional software and services strategies in support of revenue targets.
• Contribute to achieving professional services margins and oversee the P&L of your region.
• Recruit, assess, and train technical employees to meet DataRobot professional services hiring plan and performance standards
• Retain top talent and implement development plans for employees that fail to meet standards
• Ensure quality of delivery of professional services.
• Strategic Planning & Leadership
• Develop and maintain the regional professional services strategy aligned with global objectives and regional revenue goals.
• Advise the Executive Leadership Team on AI professional services trends, risks, and opportunities, including regional P&L performance.
• Contribute to global services strategy, operations, and administrative planning.
• Collaborate with Sales and Account Management to support go-to-market plans, renewals, and expansion strategies.
• Operational Execution
• Oversee successful delivery of services across the customer lifecycle—from PoVs and onboarding to expansion and renewal.
• Ensure adherence to performance standards across AAIE engagements in all assigned regions.
• Own and manage the regional professional services budget, operating plan, and margin targets.
• Monitor customer satisfaction, delivery quality, and overall health of engagements to minimize churn and maximize impact.
• Team Leadership & Development
• Lead, scale, and develop high-performing professional services and data science teams across international markets.
• Recruit, onboard, and upskill technical talent in line with DataRobot’s hiring plans and delivery standards.
• Implement performance management frameworks to recognize excellence and address underperformance.
• Foster a culture of feedback, continuous improvement, and professional growth.
• Knowledge, Skills and Abilities : Leadership & Influence
• Models an owner mindset, balancing customer outcomes with internal goals.
• Coaches and develops talent, creating a high-performance, feedback-driven culture.
• Inspires and influences across functions and levels, even without formal authority.
• Strategic Problem Solving
• Applies structured thinking to solve complex AI services challenges.
• Pushes for excellence, challenges assumptions, and integrates feedback from all stakeholders.
• Communicates clearly and effectively with SVP-level and C-suite audiences.
• Innovation & Enablement
• Drives thought leadership across product, services, and go-to-market teams.
• Participates in product innovation initiatives to enhance service delivery and customer outcomes.
• Codifies best practices and domain knowledge to scale technical excellence across teams.

Senior Backend Engineer, MLOps, Deploy

VP, Professional Services - Federal