Eragon Jobs

AI Product Manager

Eragon

AI Product Manager

Posted 3 Days Ago

In-Office

San Francisco, CA, USA

160K-220K Annually

Mid level

In-Office

San Francisco, CA, USA

160K-220K Annually

Mid level

Define the vision, roadmap, and priorities for AI-powered products. Translate customer needs and ambiguous AI capabilities into product requirements and user experiences, partnering with engineering, research, design, sales, and marketing to launch and improve products. Use customer feedback, usage data, and performance metrics to drive iteration and product value.

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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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