Associate AI Deployment Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage in stakeholder and user discovery to document workflows, needs, constraints, and desired outcomes.

• Convert conversations and research findings into requirements, user stories, workshop plans, decision logs, product roadmaps, and subsequent actions.

• Keep use-case and action trackers updated to ensure visibility of priorities, dependencies, and unresolved questions.

• Manage backlogs, requirements, roadmaps, and delivery artifacts as client needs evolve.

• Coordinate dependencies with client partners, designers, and engineers, covering data, access, calendars, and decisions.

• Execute test sets or evaluation steps, document failure modes, and summarize evidence for review.

• Prepare and assist in conducting trainings, persona-specific workshops, and office hours.

• Develop and enhance exercises, prompts, skills, and workflows in collaboration with client champions.

• Document usage instructions, known limitations, and review requirements.

• Collect participant feedback and revise learning materials and follow-up actions accordingly.

• Monitor delivery progress and adoption indicators, such as usage, business outcomes, and time savings.

• Create succinct client readouts detailing progress, decisions, risks, and next steps.

• Maintain current notes, action items, workshop materials, and engagement artifacts.

• Collaborate with client stakeholders and Eliza delivery partners to ensure assigned work stays on track.

• Identify blockers, feasibility concerns, and risks at an early stage.

• Leverage feedback and evidence to enhance work and contribute reusable delivery or learning assets.

• Utilize AI tools throughout discovery, requirements gathering, workshop preparation, workflow development, and client communication.

⛳️ Requirements

• Significant experience in at least one of Build or Enablement.

• Experience in product management, consulting, technical program management, customer success, or a related field, demonstrating a track record of translating conversations into requirements, plans, or delivery artifacts.

• Strong organizational skills and follow-through across tasks, backlogs, dependencies, testing, or client workstreams.

• Experience in client-facing roles related to delivery, training, facilitation, learning and development, adoption, or similar settings.

• Capability to prepare clear learning materials, articulate AI concepts in practical terms, and assist users in integrating new tools into their workflows.

• Proficient in AI technologies, with hands-on experience using current AI tools and an understanding of their capabilities, limitations, and safeguards.

• Excellent written and verbal communication skills, effectively engaging with both business stakeholders and technical teams.

• A human-centered design approach, with the ability to transform user needs into intuitive AI experiences.

• Strong organizational skills, dependable follow-through, adaptability to changing requirements, and the ability to ask insightful questions and escalate issues promptly.

• Experience in both Build and Enablement is preferred.

• Practical experience with prompts, skills, lightweight automations, or training content and workshop facilitation is preferred.

• Familiarity with enterprise software delivery processes, including requirements gathering, backlogs, sprints, QA, or evaluation work is preferred.

• Legal authorization to work in the United States.

• Must confirm whether employment visa sponsorship is currently or prospectively required.

🏝️ Benefits

• Competitive compensation package that includes a base salary and performance incentives linked to client outcomes.

• Equity options available in a rapidly growing AI services company.

• Exposure to diverse industries and significant AI challenges.

• Opportunities for travel related to on-site client engagements, if desired.

• Hands-on involvement in real client engagements.

• Opportunities to develop comprehensive AI Deployment expertise.

• Collaborate with client teams on practical AI products, workflows, and adoption strategies.

• Work alongside AI Deployment Managers, engineers, client champions, and leadership.

• Contribute to the creation of reusable playbooks, workshop materials, and delivery assets.