DataRobot

AI Engineer

• Provide technical expertise to support the installation, configuration, upgrading, and integration of DataRobot
• Work collaboratively with Sales, Product, Engineering, and Marketing
• Serve as a liaison between Product, Engineering, and the Federal business
• Apply expertise in Federal infosec requirements, the Risk Management Framework, and FedRAMP and Agency authorization processes
• Lead the professional services effort to plan and execute installations, upgrades, and security accreditation in DataRobot’s Federal customer base

Lead AI Architect – Federal

Security Engineer

• Lead and mentor multiple engineering teams, specifically focusing on Identity and Access and Product Security, comprising 20+ engineers and technical staff.
• Develop security operational processes, including incident response, vulnerability management, and access control policies.
• Collaborate with product managers and security leadership to define and prioritize the engineering roadmap for Identity, Access Management (IAM), and Product Security initiatives.
• Develop resource plans to ensure the successful execution of secure product initiatives and infrastructure projects.
• Set and communicate a long-term vision for security operational excellence, delivery, and efficiency within the Identity and Security domain.
• Foster a culture of high performance and security-first development, ensuring the continuous development of team members and the growth of engineering leaders within the organization.
• Drive strategic direction and technical execution for Identity and Access systems (e.g., authentication, authorization, user management) and the integration of security into the SDLC (e.g., threat modeling, static analysis, vulnerability management).

Director of Engineering – Identity and Security

Technical Customer Success

• Lead & Develop the TSM Team: Manage, coach, and grow a team of Technical Success Managers (levels I–III) across regions and accounts; establish clear expectations, skill development plans, and a high-performance culture.
• Ensure Scalable Technical Impact: Drive consistency in delivery of technical enablement, adoption planning, and use case value realization across all customer engagements.
• Customer Outcomes & Success Plans: Guide the team in building and executing success plans that deliver measurable business value, increase application consumption, and mitigate risk.
• Operational Excellence: Implement and improve processes, metrics, playbooks, and tooling to ensure efficient team operations and consistent customer experiences.
• Cross-Functional Leadership: Partner with Engagement Directors, Account Managers, and ProServ to align on customer strategy, expand usage, and support renewals and upsells.
• Technical & Strategic Advocacy: Represent customer needs and technical feedback to Product and Engineering, influencing roadmap prioritization and closing adoption gaps.
• KPI Management & Reporting: Track and report on key success metrics including app consumption rates, CSAT for technical enablement, team utilization, and customer health.
• Drive Organizational Learning: Capture best practices, customer insights, and success stories to inform broader go-to-market strategy and knowledge-sharing across teams.

Director, Customer Success Engineering

Recruitment

• Perform full life-cycle recruiting
• Utilize various sourcing methods
• Manage open job requisitions
• Update and manage Workday ATS
• Compile and communicate knowledge base, market trends, data, and analytics
• Work with hiring managers during intake
• Implement, refine, and assess recruiting processes
• Develop recruiting strategies

Senior Recruiter – GTM, G&A

• Serve as the most senior technical leader on major engagements, advising C-level executives and key stakeholders on their AI strategy, architectural roadmap, and governance model.
• Recruit, mentor, and manage a team of Senior and Principal AI Engineers, fostering a culture of technical excellence, accountability, and continuous learning.
• Own the technical success of the Professional Services portfolio, setting the technical standards, ensuring solution quality, and overseeing the deployment of advanced AI applications.
• Define the architectural blueprint and MLOps best practices for building robust, scalable, and secure AI solutions that leverage the DataRobot platform.
• Act as a recognized subject matter expert in the AI/ML community, representing DataRobot at industry conferences and driving internal innovation.
• Drive successful program execution, managing technical risk and ensuring high customer satisfaction.

Director, AI Engineering – International

Product Marketing

• Drive external engagement and act as a primary thought leader for the company.
• Use creativity and market intuition to identify unique opportunities for DataRobot.
• Be the public voice of the DataRobot Agentic AI Platform.
• Execute a strategy to build awareness in diverse media, social forums, and communities.
• Uncover and broadcast real-world customer success stories.
• Work with partners like NVIDIA, SAP, and Dell to craft

Lead Product Marketing Engineer – Agentic AI Transformation

Account Executive

• Develop and execute multi-year strategic plans to expand usage, cross-sell business applications, and increase AI maturity within assigned accounts.
• Partner with Engagement Directors to uncover new GenAI functional use cases, collaborate with Technical Success Managers to increase application consumption, and ensure alignment to outcomes.
• Identify high-risk buying centers or stalled implementations and coordinate internal teams to re-engage customers with refreshed value narratives and delivery strategies.
• Orchestrate collaboration across Engagement Directors, Technical Success Managers, and Pre-Sales resources to ensure successful deployments, adoption, and measurable outcomes.
• Build and maintain trusted relationships with key customer executives and stakeholders to elevate DataRobot’s position as a strategic partner in their AI journey.
• Leverage major/minor vertical alignment to bring consultative insight and guide customers through the AI adoption curve specific to their sector.
• Own account-level planning, forecasting, and renewal coordination in partnership with Engagement Directors; act as the single-threaded leader for strategic revenue growth across assigned accounts.

Account Director

• Develop and execute multi-year strategic plans to expand usage
• Partner with Engagement Directors to uncover new GenAI functional use cases
• Identify high-risk buying centers or stalled implementations
• Build and maintain trusted relationships with key customer executives and stakeholders
• Own account-level planning, forecasting, and renewal coordination

Sales Engineer

• Partner with Account Executives and sales leadership to run technical discovery, architect solutions, deliver compelling demos, and lead proof-of-value engagements
• Define key technical requirements, recommend deployment models that meet specific security mandates, and advise on data readiness
• Support conversations around AI governance, data security, model transparency, and responsible AI practices
• Provide structured feedback to Product, Marketing, and Enablement teams
• Act as a trusted advisor across the sales team by supporting Account Executives, Strategic Account Directors, and Business Development Reps with the technical knowledge and assets that advance AI adoption.

Senior Pre-Sales Applied AI Expert – Sales Engineering

Artificial Intelligence

• Collaborate closely with DataRobot customers and bring your expertise in data science and the DataRobot platform to help our customers achieve their organization’s objectives with AI.
• Foster an environment of autonomy where everyone is encouraged to identify and prioritize customer problems and opportunities.
• Lead data science implementation and help develop a Joint Success Plan (JSP).
• Support customers with problem framing, data prep, scripting, model building, model deployment, model management, and output consumption.
• Represent the DataRobot product to various personas across the customer organizations spanning from data scientists to C-level executives.
• Influence our customers through thought leadership by using value-based messaging to translate complex technical terms into business outcomes.
• Act as a trusted advisor on AI across the customer lifecycle.
• Act internally as the voice of the customer to the Product and Engineering, informing the direction of future product feature development.
• Present at conferences and/or help create other marketing content.

Senior Applied AI Expert

• Partner closely with prospective customers, subject matter experts, and pre-sales team members to turn ambiguous business problems into compelling, production‑inspired prototypes.
• Rapidly design and build enterprise-grade MVP (Minimum Viable Product) agentic AI applications, often within days—that clearly demonstrate how AI agents can transform real business processes.
• Showcase technical depth, strong UX/UI taste, and modern AI architecture, while remaining pragmatic and fast to deliver.

Lead AI Architect – Federal

Director of Engineering – Identity and Security

Director, Customer Success Engineering

Senior Recruiter – GTM, G&A

Director, AI Engineering – International

Lead Product Marketing Engineer – Agentic AI Transformation

Account Director

Account Director

Senior Pre-Sales Applied AI Expert – Sales Engineering

Senior Applied AI Expert

Lead Pre-Sales Applied AI Expert