Technical Product Manager

Wipro•Las Vegas, NV

About The Position

Wipro is hiring a Technical Product Manager for a contract role in Las Vegas, Nevada. The position drives planning, execution, and delivery of Conversational AI and Generative AI programs, working with Product, Engineering, Architecture, Business, Data/AI, CRM, and project management teams. It translates product strategy and roadmaps into technical plans, coordinating milestones, dependencies, risks, governance, and stakeholder alignment across the full development lifecycle, from ideation and solution definition through testing, launch, monitoring, and continuous improvement. The role also engages with customers and internal delivery teams to understand requirements, develop and present proposed solutions, coordinate feedback and changes, validate solution coverage through testing and demonstrations, and support timely delivery. It contributes to domain knowledge and reusable materials, including whitepapers, research, use cases, and proposal documentation. The posting lists 5–8 years of experience and mandatory skills in Product Management and Consulting. The expected compensation range is $60,000–$135,000, with final compensation dependent on factors such as location, skills, and relevant experience.

Requirements

Strong experience in Technical Program Management, Technology Delivery, or large-scale technical project or program execution.
Demonstrated experience driving complex, cross-functional technology programs and product milestones involving Product, Engineering, Architecture, Business, and other technology teams.
5–8 years of experience.
Mandatory skills: Product Management and Consulting.

Responsibilities

Own end-to-end program execution for Conversational AI and Generative AI initiatives, from ideation and solution definition through development, testing, launch, monitoring, and improvement.
Translate product roadmaps and business priorities into program plans, milestones, deliverables, dependencies, risks, and critical paths.
Align scope, requirements, technical solutions, priorities, and delivery timelines with product, engineering, architecture, Data/AI, CRM, business, and other stakeholders.
Coordinate Generative AI and LLM pilots and production solutions for conversational and guest/customer experiences.
Facilitate requirements and technical discussions, including user stories, acceptance criteria, dependencies, integration needs, and release readiness.
Manage cross-team dependencies, technical risks, blockers, scope changes, and execution gaps; drive complex program-level issues to resolution.
Establish program governance and communicate milestone status, risks, issues, dependencies, decisions, and next steps to stakeholders and leadership.
Coordinate work across development, testing, user acceptance, deployment, and post-launch monitoring.
Use data, conversational analysis, product performance insights, and technical understanding to support prioritization and continuous improvement.
Coordinate parallel workstreams and sequence development according to technical and business dependencies.
Support strategic technology roadmaps across Conversational AI, Generative AI, customer insights, and CRM.
Translate technical topics into clear business impacts, decisions, and actions; promote accountability and predictable delivery.
Gather customer requirements and clarify RFP/RFI needs; document scope, functional and non-functional requirements, features, workflows, and specifications.
Coordinate with client engagement partners and internal project management, presales, technical, and architecture teams to formulate RFP/RFI responses and proposed solutions.
Explain the financial and operational impact of changes and maintain customer communication to obtain clarifications, feedback, and solution improvements.
Demonstrate proposed solutions or prototypes to customers and maintain relationships to support business integration and lead generation.
Coordinate with delivery teams on customer feedback, test-case coverage, root-cause analysis, change requests, QA testing, integration testing, and user acceptance demonstrations.
Use data modeling and system capability analysis to inform improvements and changes; support solution utilization and complete RFP/RFI responses.
Support project managers and delivery teams with project milestones and phases, challenge delivery assumptions, and help ensure quality, on-time deliverables and customer satisfaction.
Share domain expertise with other business analysts and contribute whitepapers, research, points of view, use cases, market research, and reusable knowledge-repository materials.