DataRobot

Role Description DataRobot’s Senior Forward Deployed Engagement Manager leads the delivery of our most advanced customer initiatives. In this high-impact role, you will be the captain of the ship for enterprise customer engagements, specifically focusing on the deployment of Agentic AI and Generative AI solutions. You are not just a project manager; you are a technical translator and a strategic partner. You will sit at the intersection of business strategy and engineering execution, guiding our customers through the complexities of adopting autonomous AI agents. Drawing on a background in software engineering or solution architecture, you will effectively manage technical risk while using your business acumen to ensure every project delivers measurable ROI. Key Responsibilities - Lead Complex AI Engagements: Own the end-to-end delivery lifecycle for high-stakes professional services engagements. You will manage the scope, timeline, budget, and execution of projects building GenAI agents and predictive solutions. - Bridge Business & Technology: Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot’s technical delivery team (AI Engineers and Data Scientists). You will ensure business goals are accurately translated into technical requirements. - Technical Risk Management: Leverage your technical background to identify implementation risks early—whether related to data infrastructure, API integrations, or agent logic—and work with the engineering team to mitigate them before they impact the critical path. - Stakeholder Management: Cultivate strong, trusted relationships with client sponsors. You will manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success. - Drive Adoption & Change: Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations. - Agile Delivery: Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction. Qualifications - Technical Fluency: Understanding of system architectures, API integrations, and cloud infrastructure. - Ability to engage in discussions on the software development lifecycle (SDLC) with engineering teams. - Familiarity with GenAI and Agentic systems (e.g., non-deterministic behavior, latency trade-offs, MCP servers, RAG architectures). - Business Acumen: Ability to define KPIs, measure ROI, and align technical outputs with strategic business objectives. - Consulting Mindset (“Consulting DNA”): Disciplined approach to project governance, documentation, and client communication. Requirements - Related Experience: 7+ years of professional experience, including delivery of complex software or data products for enterprise clients. - Hybrid Background: Experience in technical roles (e.g., Software Engineer, Solution Architect, Technical Lead) with progression into client-facing leadership roles (e.g., Engagement Manager, Technical Program Manager, Product Owner). - AI/ML Experience: Experience managing data science or machine learning projects. - Education: Technical undergraduate degree (Computer Science, Engineering, or similar); MBA preferred. - Certifications: PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred. - Consulting Experience: Experience working within a management consulting or technology consulting environment (Big 4 or boutique). Benefits - Medical, Dental & Vision Insurance - Flexible Time Off Program - Paid Holidays - Paid Parental Leave - Global Employee Assistance Program (EAP) - And more! Company Description 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.

• Drive day-to-day security while ensuring our platform meets the demands of our customers • Develop custom automation to manage security processes and implement "Secure-by-Design" processes in the CI/CD pipeline using Python • Identify, design, and implement controls to safeguard our containerized production environments • Deploy and manage product security testing tools for SAST, DAST, and SCA analysis • Conduct and automate end-to-end vulnerability, threat, and exploitability assessments for actionable fixes and mitigations in DataRobot products • Perform initial technical investigation for customer reports and security incidents, coordinating with Engineering and IT Security • Work directly with Sales & Support teams to resolve concerns regarding security exposure and architecture • Balance business needs with security rigor while maintaining strong professional relationships through clear, diplomatic communication.

• Accelerate Onboarding & Initial Application Adoption: Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding. • Drive Ongoing Consumption: Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact. • Customer Health Monitoring: Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans. • Technical Advocacy & Solution Feedback: Act as the voice of the customer to DataRobot product and engineering teams, channeling technical requirements, gaps, and enhancement requests. • Accelerate Initial Group Learning Adoption: Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers. • Technical Enablement & Training: Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts. • Use Case Value Realization: Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.

• Own the end-to-end delivery lifecycle for high-stakes professional services engagements. • Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot’s technical delivery team (AI Engineers and Data Scientists). • Leverage your technical background to identify implementation risks early—whether related to data infrastructure, API integrations, or agent logic—and work with the engineering team to mitigate them before they impact the critical path. • Cultivate strong, trusted relationships with client sponsors. • Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations. • Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.

• Own and manage the regional Professional Services P&L, budget, and operating plan, ensuring achievement of margin targets and overall financial health of the regional services business. • Lead the scoping, solutioning, and pitching of professional services for strategic opportunities, partnering closely with Sales to define high-impact, value-driven engagements. • Collaborate with Regional Sales and Account Management leadership to build services strategies that support pipeline acceleration, revenue goals, and expansion. • Lead, scale, and develop the Professional Services organization, overseeing both the Forward Deployed Engineering and Customer Success Engineering teams across MEA. • Own workforce planning, capacity management, and resource utilization to efficiently balance team delivery against the dynamic book of business. • Recruit, assess, and develop high-performing technical talent, implementing performance management frameworks to recognize excellence and address underperformance. • Define and govern the regional service delivery methodology, ensuring consistent, repeatable, and high-quality outcomes across the entire customer lifecycle (from onboarding to expansion). • Define and enforce technical standards and MLOps best practices for customer deployments, ensuring solutions are secure, scalable, and maintainable at enterprise scale. • Monitor customer satisfaction, delivery quality, and overall health of engagements to maximize customer impact and retention. • Serve as the senior technical point of contact and executive sponsor for strategic enterprise customers, engaging with C-level stakeholders on delivery, architecture, and platform adoption strategies. • Maintain tight alignment with Global Engineering and Deployment leadership on standards, tooling, and frameworks, ensuring MEA practices contribute to and are consistent with global strategy. • Represent DataRobot externally as a thought leader at regional industry events, customer advisory boards, and partner forums.

• Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding. • Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact. • Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans. • Act as the voice of the customer to product and engineering teams, channeling technical requirements, gaps, and enhancement requests. • Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers. • Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts. • Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.

• Lead the design, development, and support of new access-related functionality of our Platform • Manage individual projects and milestones with abundant communication of progress, and provide technical leadership to the team • Participate in and lead code reviews, ensuring high code quality and adherence to best practices • Design and architect infrastructure for new features with the input of peers and stakeholders • Create and maintain automated tests, and contribute to test strategy and frameworks • Engage in engineering on-call escalated support of services owned by the team, and provide mentorship to junior engineers on support • Mentor and guide junior engineers, fostering a culture of continuous learning and improvement

• Drive day-to-day security while ensuring our platform meets the rigorous demands of our on-premises and hosted customers. • Serve as a member of our Engineering Product Security group, handle customer security inquiries. • Build automation using Python for security processes. • Develop custom automation to manage security processes and implement "Secure-by-Design" processes in the CI/CD pipeline using Python. • Identify, design, and implement controls to safeguard our containerized production environments. • Deploy and manage product security testing tools for SAST, DAST, and SCA analysis (e.g., Semgrep, Trivy, Burp Suite). • Review technical designs for new features, leading threat models to prioritize risks and educate developer teams on secure coding practices. • Conduct and automate end-to-end vulnerability, threat, and exploitability assessments for actionable fixes and mitigations in DataRobot products. • Perform initial technical investigation for customer reports and security incidents, coordinating with Engineering and IT Security to validate and track fixes. • Work directly with Sales & Support teams to resolve concerns regarding security exposure and architecture.

• Perform full life-cycle recruiting utilizing various sourcing methods. • Responsible for attracting top talent and developing a strong candidate pool. • Manage open job requisitions, update Workday ATS, and report accomplishments. • Compile and communicate industry overviews, market trends, data, and analytics. • Work with hiring managers to ensure job postings are clear and appropriate. • Participate in refining and assessing recruiting processes to improve quality. • Develop recruiting strategies from both tactical and strategic perspectives. • Gain a deep understanding of business needs and critical success factors.

• Provide customer support to DataRobot AI Platform users via the SalesForce ServiceCloud ticketing system during 09:00 AM - 05:00 PM JST (12 AM - 8 AM UTC) • Help customers over email or Zoom/Webex meetings to facilitate issue resolution • Work with product, engineering, and data science teams to resolve customer issues • Create workarounds when standard procedures have failed and ensure issues are solved in a timely manner • Document customer issues and resolutions, create knowledge base content related to software usage • Participate in AI Support projects to develop models and tools to automate and improve customer service • Weekend Severity 1 on-call rotation • Participate in production incidents (IR) on the DataRobot MTS (SaaS) platform as an Incident Communicator • Collaborate with regional partners to resolve outstanding issues and engage the in-house Partner Enablement team to drive operational excellence. • Contribute to the design and scale agentic workflows to automate complex internal queries, while establishing a continuous feedback loop for support bot optimization and performance tuning.