• Apply deep technical expertise to translate business needs into precise data engineering specifications. • Collaborate with Technical Product Owners, Product Managers, Data Engineering, and Business Stakeholder teams to ensure solutions meet business and technical requirements. • Create User Stories, Acceptance Criteria, Data/Process Flow Diagrams, and other detailed Technical Requirements documentation. • Analyze in-house and third-party software solutions to interpret and define needs for integrating new technology into existing systems or deploying new systems independently. • Maintain comprehensive knowledge of application data and functionality and business workflows within assigned product families. • Participate actively in Agile Engineering ceremonies, including stand-ups, refinement, release planning, demos, and retrospectives. • Lead the triage of incoming production support requests. • Perform other duties or tasks as assigned.

• Lead onboarding sessions that demonstrate how to set up, configure, and manage AI agents. • Educate customers on best practices and recommended configurations for building effective AI agents. • Help customers translate their business goals into clear agent structures, prompts, workflows, and inputs. • Guide clients through onboarding steps while empowering them to complete configurations independently. • Set and manage onboarding expectations in collaboration with Sales and Technical Account Managers. • Maintain proactive communication with customers, providing updates, feedback, and clear next steps. • Collect and validate required information and assets needed for successful agent creation. • Oversee onboarding timelines, milestones, and scheduled tasks. • Ensure onboarding completion meets client expectations and internal quality standards. • Identify knowledge gaps and provide additional guidance, training, or documentation as needed. • Coordinate a smooth handoff to the Customer Success Team Lead once onboarding is complete. • Other duties as assigned

• Lead independent POV engagements with enterprise prospects, designing custom ontologies and configuring solutions within 3-5 day cycles • Conduct technical discovery and present solutions to Data Engineers, Enterprise Architects, and AI/ML Engineers • Support Account Executives throughout sales cycles with primary ownership during technical evaluation and POV phases • Work directly with Engineering on technical challenges and custom implementations during POVs • Continue engagement through deal closing and initial customer onboarding alongside Customer Success • Support existing customer expansion opportunities as part of land-and-expand strategy • Collaborate with Field CTO to build reusable ontology templates and POV best practices

• Deliver industry leading consultant services to Trace 3 customers. • Support development of IAM strategy, roadmap, and architecture across key IAM components: • Authentication • Authorization • Identity Governance and Administration (IGA) • Privileged Access Management (PAM) • Support design and deployment of IAM products and services. • Support industry standards, regulatory compliance, and customer business requirements. • Drive IAM root cause analysis, support, troubleshooting, and post mortem for incidents and service issues. • Perform systems modeling, simulation, and analysis to identify, analyze, and resolve problems. • Support the modernization of on-premises identity solutions, or migration to modern, cloud-native offerings • Lead IAM initiatives around tenant consolidations, identity maturity, and M&A activities • Maintain, upgrade, and support existing customer IAM systems. • Develop technical documentation for both logical and physical systems. • Provide technical guidance and best practices to customers as needed. • Collaborate with other departments to develop business cases associated with new project requests. • Stay current with industry certifications in Identity and Access Management disciplines. • Stay current with industry trends and how they might impact tools, training, and support of existing and potential customers. • Provide leadership, coaching and mentoring to other team members. • Perform other duties as required or assigned.