Eragon

AI Product Manager

San Francisco

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Role family: Product management
Seniority: Lead / management
Stated salary: $160,000 – $220,000 per year
Country: US
Work mode: On-site / unstated
First seen by hirly: 28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Eragon's site ↗

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