AI Product Manager
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- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 160,000–220,000 1 YEAR
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 160,000–220,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
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Original job description
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Job Description
We’re looking for an AI Product Manager to define, build, and scale AI-powered products. In this role, you’ll sit at the intersection of product, engineering, and go-to-market—translating customer needs into AI-driven solutions and driving them from concept to production.
You’ll work closely with applied AI and engineering teams to shape product direction, prioritize features, and ensure we’re delivering real value to customers.
Key Responsibilities
Product Strategy: Define product vision, roadmap, and priorities for AI-powered features and systems
Customer Insight: Work directly with customers to understand workflows, pain points, and opportunities for AI-driven automation
Cross-Functional Execution: Partner with engineering, research, and design to ship high-impact products
AI Product Definition: Translate ambiguous AI capabilities into clear product requirements, specs, and user experiences
Iteration & Feedback Loops: Use data, usage, and customer feedback to continuously improve product performance
Go-to-Market Collaboration: Work with sales and marketing to position and launch products effectively
Minimum Qualifications
Experience: 3–7+ years in product management, preferably with AI/ML-powered products
Technical Fluency: Strong understanding of AI/ML systems (e.g., LLMs, agents, data pipelines), without needing to build models yourself
Execution Track Record: Proven ability to take products from concept to launch in fast-paced environments
Customer Orientation: Experience working closely with users and translating needs into product decisions
Communication: Strong ability to align technical and non-technical stakeholders
Nice to Have (Optional but Valuable)
Experience building or working with LLM-based products, agents, or workflow automation tools
Background in engineering, data science, or technical product roles
Experience in early-stage startups
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