DataRobot

• Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions. • Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners). • Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities. • Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability. • Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities. • Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently. • Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. • Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption. • Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).

• Partner with prospective customers and sales teams to map loosely defined problems into compelling, production-inspired prototypes. • Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability. • Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. • Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.

• Partner with sales teams to understand business needs, strategic priorities, and technical constraints; map those to DataRobot capabilities, with tailored messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners) • Deliver engaging, outcome-oriented demos for both new prospects and existing customers; help shape and refine use cases based on maturity, need, and strategic alignment • Define key technical requirements, recommend deployment models that meet specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities • Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations and standards • Provide structured feedback on specific needs, procurement hurdles, and technical blockers to Product, Marketing, and Enablement teams—ensuring DataRobot’s offerings remain relevant in the market • Act as a trusted advisor across the sales team by supporting Regional Director and Account Executives with the technical knowledge and assets that advance AI adoption

• Partner with federal sales teams to understand agency missions, strategic priorities, and technical constraints • Map federal personas to DataRobot capabilities with tailored messaging • Build and deliver engaging, outcome-oriented demos for both new prospects and existing customers • Define key technical requirements and recommend deployment models • Support conversations around AI governance, data security, model transparency, and responsible AI practices • Act as a trusted advisor across the sales team by supporting Account Executives and others with technical knowledge and assets for federal AI adoption.

• Own the customer relationship end-to-end — serving as the primary point of contact and trusted advisor for executive, program, and technical stakeholders across your account portfolio. • Lead technical project delivery with rigor — develop and manage detailed project plans, track milestones, surface and mitigate risks, and hold both internal teams and customer counterparts accountable to agreed commitments. • Translate customer mission needs into DataRobot solutions — conducting discovery, identifying use cases with the highest ROI, and structuring engagements that deliver measurable outcomes. • Drive account growth and retention — identify expansion opportunities, support renewal conversations, and partner with Sales to build a compelling business case for continued and expanded investment in DataRobot. • Lead compliance with security requirements including ATO processes and IL5, IL6 and TS authorization timelines. • Navigate federal procurement including agency-specific acquisition vehicles (e.g., JWCC, Tradewinds, GSA Schedule, OTA). • Provide consultative architecture guidance — engaging federal IT and data teams on integration patterns, platform deployment approaches, and data pipeline design, while knowing when to bring in deeper technical specialists. • Serve as the voice of the customer internally — synthesizing field learnings and customer feedback to inform Product, Engineering, and Sales priorities for the Federal market. • Support pre-sales activities — participating in customer discovery, scoping professional services engagements, contributing to proposals, and presenting at executive briefings. • Mentor and coordinate partner delivery resources — overseeing subcontractors and SI partners engaged on customer programs, ensuring quality and consistency of delivery.

• 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 and work with the engineering team to mitigate them before they impact the critical path. • Cultivate strong, trusted relationships with client sponsors. Manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success. • 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.

• 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.