Technical Product Manager

Job Description

Title: Technical Product Manager

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Location: Las Vegas NV- onsite

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Duration: Contract

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Technical Program Manager – Conversational AI

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Job Description / Roles and Responsibilities:

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The Technical Program Manager will drive the planning, execution, and delivery of Conversational AI and Generative AI programs , partnering closely with Product, Engineering, Architecture, Business, and Project Management teams. The role will be accountable for translating product strategy and roadmaps into executable technical plans and ensuring key milestones are delivered with strong visibility, governance, and stakeholder alignment.

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Key Responsibilities:

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• Own end-to-end program execution for Conversational AI and Generative AI initiatives, driving programs from ideation and solution definition through development, testing, launch, monitoring, and continuous improvement.
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• Translate product roadmaps and business priorities into executable program plans , defining milestones, deliverables, dependencies, risks, and critical paths.
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• Partner with Product Owners, Engineering, Architecture, Data/AI, CRM, and business stakeholders to align scope, requirements, technical solutions, priorities, and delivery timelines.
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• Drive product and technical milestones , ensuring teams remain aligned on commitments, dependencies, decisions, and delivery outcomes.
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• Coordinate execution of Generative AI and Large Language Model (LLM) capabilities , including pilots and production solutions supporting conversational and guest/customer experiences.
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• Facilitate requirements and technical discussions, including user stories, acceptance criteria, solution dependencies, integration requirements, and release readiness.
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• Identify and proactively manage cross-team dependencies, technical risks, delivery blockers, scope changes, and execution gaps , driving them to timely resolution.
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• Establish program governance and provide clear visibility into milestone status, risks, issues, dependencies, decisions, and next steps for leadership and stakeholders.
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• Work closely with engineering and product teams across the development, testing, user acceptance, deployment, and post-launch monitoring lifecycle.
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• Use data, conversational analysis, product performance insights, and technical understanding to support prioritization and continuous improvement of Conversational AI capabilities.
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• Coordinate multiple parallel workstreams and ensure appropriate sequencing of development activities based on technical and business dependencies.
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• Support development and execution of strategic technology roadmaps within the Conversational AI, Generative AI, customer insights, and CRM ecosystem.
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• Drive resolution of complex program-level risks, issues, and changes that may impact multiple products, systems, or stakeholder groups.
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• Facilitate effective communication between technical and non-technical teams, translating complex technical topics into clear business impact, decisions, and actions.
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• Promote strong execution discipline, accountability, and predictable delivery across Conversational AI programs.
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Qualifications Required:

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• Strong experience in Technical Program Management, Technology Delivery, or large-scale technical project/program execution .
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• Demonstrated experience driving complex, cross-functional technology programs and product milestones involving Product, Engineering, Architecture, Business, and other technology teams.
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• Strong understanding of Agile/Scrum methodologies, software development lifecycle, release management, and IT program management .
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• Proven ability to manage program plans, milestones, dependencies, risks, issues, scope changes, and stakeholder expectations.
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• Ability to understand technical architecture, integrations, system dependencies, and engineering challenges sufficiently to drive technical discussions and execution .
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• Strong ability to convert product roadmaps and strategic priorities into structured execution plans with measurable milestones and outcomes .
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• Highly organized and execution-oriented, with strong ownership and accountability for driving results.
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• Excellent communication, facilitation, and stakeholder-management skills, with the ability to bridge business, product, and engineering teams.
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• Strong problem-solving and structured-thinking skills with the ability to quickly identify delivery risks and drive teams toward resolution.
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• Excellent written, verbal, and presentation skills, including the ability to communicate complex technical topics clearly to leadership and non-technical audiences.
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