Technical Product Manager - AI
New
S
SupplyHouse.comE-commerce, AI
This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington., Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibilityFull-TimeMiddle
Salary121,971 - 152,464 USD per year
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Job Details
- Experience
- 5–8 years of product management experience, with at least 2 years leading AI/ML or data-driven product initiatives
- Required Skills
- Product ManagementJiraPrompt EngineeringLLM
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field.
- 5–8 years of product management experience.
- At least 2 years leading AI/ML or data-driven product initiatives.
- Strong working knowledge of large language models, prompt engineering, retrieval-augmented generation (RAG), agentic workflows, recommendation systems, search/ranking, and personalization.
- Demonstrated experience partnering with data science and ML engineering teams to ship production-ready AI features.
- Technical fluency to read API documentation, understand data schemas and model architecture tradeoffs, and participate in system design discussions.
- Proficiency with JIRA, Confluence, and agile/scrum methodologies.
- Ability to define success metrics, design experiments, and interpret quantitative results.
- Strong communication and stakeholder management skills to align executives, engineers, and business partners.
- Product management experience in e-commerce is strongly preferred.
- Experience with LLM evaluation, prompt design, and AI quality assessment is a plus.
- CSPO, SAFe POPM, or relevant AI/ML certifications are preferred.
Responsibilities
- Define and own the AI product roadmap for customer-facing features and internal tools.
- Partner with developers to scope, architect, and deliver AI solutions from proof of concept through production deployment.
- Identify high-value AI opportunities by engaging with customers, business teams, and data; translate findings into problem statements and testable hypotheses.
- Write technical requirements, user stories, and acceptance criteria in JIRA and Confluence.
- Design and manage experiments and A/B tests, analyze results, and drive iteration.
- Translate between business stakeholders and technical teams, articulating AI capabilities and limitations and framing business goals for technical execution.
- Monitor post-launch AI product performance, define and track metrics, and respond to regressions or opportunities.
- Champion responsible AI practices, including data privacy, model fairness, security, and quality standards.
- Develop documentation, playbooks, training materials, and demos to support internal adoption of AI tools.
- Stay current on AI/ML and bring actionable insights to the roadmap.
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