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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong organization and follow-through in managing client-facing delivery, training, and facilitation while effectively translating user needs into actionable requirements and plans. Proficient in utilizing AI tools to enhance workflows and improve learning materials.
Highest-signal resume keywords
Client-Facing DeliveryAI FluencyHuman-Centered DesignTraining FacilitationRequirements Documentation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Requirements GatheringWorkflow DocumentationBacklog ManagementTesting and EvaluationUser Story CreationAction Tracker MaintenanceLearning Material PreparationPrompt DevelopmentLightweight AutomationStakeholder Communication
Soft Skills
Strong OrganizationClear CommunicationFollow-ThroughAdaptabilityQuestioning and Escalation
Tools & Technologies
AI ToolsProject Management SoftwareCollaboration PlatformsTraining SoftwareEvaluation Tools
Industry Keywords
Product ManagementConsultingTechnical Program ManagementCustomer SuccessLearning and DevelopmentEnterprise Software Delivery
About the role
Key responsibilities & impact- Participate in stakeholder and user discovery and document workflows, needs, constraints, and desired outcomes
- Translate conversations and research into requirements, user stories, workshop plans, decision logs, product roadmaps, and next steps
- Maintain use-case and action trackers so priorities, dependencies, and open questions remain visible
- Maintain backlogs, requirements, roadmaps, and delivery artifacts as client needs change
- Coordinate dependencies with client partners, designers, and engineers, including data, access, calendars, and decisions
- Run test sets or evaluation steps, log failure modes, and summarize evidence for review
- Prepare and help facilitate trainings, persona-specific workshops, and office hours
- Build and refine exercises, prompts, skills, and workflows with client champions
- Document usage instructions, known limitations, and review needs
- Gather participant feedback and update learning materials and follow-up actions
- Track delivery progress and adoption signals such as usage, business outcomes, and time savings
- Prepare concise client readouts on progress, decisions, risks, and next steps
- Keep notes, action items, workshop materials, and engagement artifacts current
- Coordinate with client stakeholders and Eliza delivery partners to keep assigned work on track
- Raise blockers, feasibility concerns, and risks early
- Use feedback and evidence to improve work and contribute reusable delivery or learning assets
- Use AI tools across discovery, requirements, workshop preparation, workflow building, and client communication
Requirements
What you’ll need- Meaningful experience in at least one of Build or Enablement
- Experience in product, consulting, technical program management, customer success, or a related setting, with examples of turning conversations into requirements, plans, or delivery artifacts
- Strong organization and follow-through across tasks, backlogs, dependencies, testing, or client workstreams
- Experience in client-facing delivery, training, facilitation, learning and development, adoption, or a related setting
- Ability to prepare clear learning materials, explain AI in practical terms, and help users apply new tools in their workflows
- Strong AI fluency, including practical use of current AI tools and understanding of their capabilities, limitations, and safeguards
- Clear written and verbal communication with business stakeholders and technical teams
- Human-centered design mindset and ability to translate user needs into intuitive AI experiences
- Sound organization, reliable follow-through, comfort with changing needs, and ability to ask sharp questions and escalate early
- Experience across both Build and Enablement preferred
- Hands-on experience with prompts, skills, or lightweight automations, or training content and workshop facilitation preferred
- Exposure to enterprise software delivery, including requirements, backlogs, sprints, QA, or evaluation work preferred
- Legal authorization to work in the United States
- Must answer whether employment visa sponsorship is currently or prospectively required
Benefits
Comp & perks- Competitive compensation including base salary and performance incentives tied to client outcomes
- Equity options in a growing AI services company
- Exposure to a wide range of industries and high-impact AI problems
- Travel opportunities for on-site client engagements, if desired
- Hands-on work inside real client engagements
- Opportunities to build the full AI Deployment craft
- Work with client teams on practical AI products, workflows, and adoption
- Collaboration with AI Deployment Managers, engineers, client champions, and leaders
- Contribution to reusable playbooks, workshop materials, and delivery assets