Overview
On Site
$80 - $85
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Ai
Gen
ML
Agentic
Job Details
Job Title: Product Management in (Gen AI, Agentic AI and Retail Domain)
Location: Emeryville, CA (Onsite)
Duration: Long term contract/FTE
Educational Qualification*
Bachelor s degree in Computer Science, Information Systems, or a related field.
Experience Range
Minimum 10 years in product management, with at least 5 years in AI/ML-related roles.
Primary (Must have skills)* - To be Screened by TA Team
3 years in AI product strategy or roadmap ownership.
5 years in stakeholder management and business analysis.
5 years in product delivery, in AI/ML projects.
3 years of experience in Gen AI, Agentic AI, and LLM-based workflows.
Excellent communication, stakeholder management, and analytical skills.
Understanding of Gen AI, Agentic AI, and LLM-based workflows.
Familiarity with agile methodologies and product lifecycle management.]
5 years in stakeholder management and business analysis.
5 years in product delivery, in AI/ML projects.
3 years of experience in Gen AI, Agentic AI, and LLM-based workflows.
Excellent communication, stakeholder management, and analytical skills.
Understanding of Gen AI, Agentic AI, and LLM-based workflows.
Familiarity with agile methodologies and product lifecycle management.]
Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)
Role Overview:
We are looking for a seasoned AI Product Manager to lead the development and delivery of Gen AI and Agentic AI solutions tailored for the Retail domain. This role demands a strategic thinker with hands-on experience in AI product lifecycle management, stakeholder collaboration, and translating business needs into scalable AI solutions.
Key Responsibilities:
AI Product Strategy & Roadmap
Own and drive the AI product roadmap focused on retail use cases such as Yield Optimization, Marketing Mix Modeling (MMM), and Trade ROI.
Prioritize and manage a backlog of AI initiatives based on business impact and feasibility.
Required Experience: Minimum 3 5 years in AI product strategy or roadmap ownership.
Stakeholder Engagement & Translation
Act as the primary liaison between business stakeholders and technical teams.
Conduct workshops to gather requirements and translate them into technical deliverables.
Required Experience: Minimum 5 years in stakeholder management and business analysis.
Execution & Delivery
Lead cross-functional teams including data scientists, ML engineers, and developers to deliver AI solutions.
Ensure timely execution, quality assurance, and post-launch optimization.
Required Experience: Minimum 4 6 years in product delivery, preferably in AI/ML projects.
Performance Measurement
Define and monitor KPIs and success metrics for each AI initiative.
Use data-driven insights to iterate and improve product performance.
Required Experience: Minimum 3 years in product analytics or performance tracking.
We are looking for a seasoned AI Product Manager to lead the development and delivery of Gen AI and Agentic AI solutions tailored for the Retail domain. This role demands a strategic thinker with hands-on experience in AI product lifecycle management, stakeholder collaboration, and translating business needs into scalable AI solutions.
Key Responsibilities:
AI Product Strategy & Roadmap
Own and drive the AI product roadmap focused on retail use cases such as Yield Optimization, Marketing Mix Modeling (MMM), and Trade ROI.
Prioritize and manage a backlog of AI initiatives based on business impact and feasibility.
Required Experience: Minimum 3 5 years in AI product strategy or roadmap ownership.
Stakeholder Engagement & Translation
Act as the primary liaison between business stakeholders and technical teams.
Conduct workshops to gather requirements and translate them into technical deliverables.
Required Experience: Minimum 5 years in stakeholder management and business analysis.
Execution & Delivery
Lead cross-functional teams including data scientists, ML engineers, and developers to deliver AI solutions.
Ensure timely execution, quality assurance, and post-launch optimization.
Required Experience: Minimum 4 6 years in product delivery, preferably in AI/ML projects.
Performance Measurement
Define and monitor KPIs and success metrics for each AI initiative.
Use data-driven insights to iterate and improve product performance.
Required Experience: Minimum 3 years in product analytics or performance tracking.
Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)
Communication Skills:
Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Interpersonal Skills:
Strong interpersonal skills to build and maintain productive relationships with team members
Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset
Task/ Work Updates
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities
Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Interpersonal Skills:
Strong interpersonal skills to build and maintain productive relationships with team members
Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset
Task/ Work Updates
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities
Expected Outcome
Successfully lead the development and delivery of Gen AI and Agentic AI solutions tailored for the Retail domain.
Secondary Skills to be planned Post Hiring - Training Plan
Experience in Retail domain use cases such as pricing, promotions, customer segmentation, and supply chain optimization.
Experience with AI orchestration platforms, agentic workflows, and LLM fine-tuning.
Background in data science, engineering, or analytics is a plus.
Exposure to ethical AI, data governance, and privacy compliance.
Experience with AI orchestration platforms, agentic workflows, and LLM fine-tuning.
Background in data science, engineering, or analytics is a plus.
Exposure to ethical AI, data governance, and privacy compliance.
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