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Salary
$160k – $220k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Mar 25, 2026. Eragon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Eragon is a centralized AI workspace that powers organisation-wide business intelligence. It builds production-grade AI systems for critical enterprise workflows and hires machine learning engineers, AI product managers, members of technical staff and applied AI interns. The company is headquartered in San Francisco, California, United States.
Backed by Soma Capital

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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