AI Product Manager: Self-Improving Agent Platform

Eragon; San Francisco (CA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Eragon is seeking a Product Manager to shape the product direction for our AI-powered agent platform. You will work with engineering, design, and customer-facing teammates to uncover problems, decide on priorities, and ship improvements across the agent experience.

You’ll translate customer needs, technical capabilities, and research insights into products that are reliable and governable in real-world settings, with a strong emphasis on user-centered discovery and measurable outcomes.

Qualifikationen

• Experience as a product manager on AI products.
• Strong product judgment and ability to turn ambiguous problems into focused, testable plans.
• Comfort working with engineers and designers on technical products.
• A user-centered, iterative approach to discovery, prototyping, and measuring outcomes.

Aufgaben

• Lead product discovery with customers and internal teams to identify high-value problems and workflows.
• Define product direction, requirements, and priorities, balancing user value, technical feasibility, and business impact.
• Partner with engineering and design to prototype, build, launch, and improve AI-powered product experiences.
• Use customer feedback, product data, and evaluation results to assess quality and guide iteration.
• Communicate product decisions clearly and keep teams aligned from early exploration through delivery.

Kenntnisse

AI product experience

Product discovery

Cross-functional collaboration

User-centered design

Jobbeschreibung

Eragon is seeking a Product Manager to shape the product direction for our AI-powered agent platform. You will work with engineering, design, and customer-facing teammates to uncover problems, decide on priorities, and ship improvements across the agent experience.

You’ll translate customer needs, technical capabilities, and research insights into products that are reliable and governable in real-world settings, with a strong emphasis on user-centered discovery and measurable outcomes.