Mid Product Manager - AI & LLM [l3l34]
Explicitly calls for "vibe-coding" and rapid AI-assisted prototyping; uses Cursor and other AI coding/LLM tools for fast prototypes.
About the Role
Product Manager to lead AI-driven audit product development, scaling multiple web applications that integrate LLMs and GenAI. Own three concurrent application streams, rapidly prototype AI-enabled features, and translate complex audit domain feedback into technical requirements to ship reliable production releases.
Job Description
Role
You will be a Product Manager on a core initiative to transform audit workflows through AI-driven automation. The role owns three concurrent application streams, bridging auditor domain needs and engineering delivery while doing rapid, hands-on prototyping and shipping features end-to-end.
Key Responsibilities
- Lead AI product strategy and design robust AI/LLM workflows with focus on reliability, context management, and seamless integration.
- Rapid prototyping using AI-assisted coding tools and frontend logic to validate UX flows and build functional mockups.
- Manage backlogs across three applications in Azure DevOps; convert domain feedback into clear user stories and prioritize ruthlessly.
- Technical orchestration with lean engineering teams to unblock development, clarify edge cases, and ensure reliable releases.
- Translate stakeholder and auditor feedback into technical requirements for B2B enterprise contexts.
Requirements
- Proven experience as a Product Manager in SaaS, startups, or AI-centric products.
- Minimum ~3 years product management experience and ~3 years working with AI/LLMs (explicitly required in the posting).
- Deep technical fluency in GenAI and practical experience with multiple LLM models and AI-assisted coding assistants.
- Hands-on ability to prototype with HTML, CSS, and JavaScript and validate UX flows independently.
- Strong background in B2B enterprise products; experience in audit or Big 4 environments is a significant plus.
- Exceptional communication skills and ability to explain technical architectures clearly.
Tech Stack
- Frontend: React, Vue, HTML, CSS, JS
- Tools & Process: Azure DevOps, API Design, Data Models
- LLMs & AI models: GPT-5, Claude 4.5, Gemini 2.5, Claude Sonnet
- AI tooling & architecture: Claude Code, Cursor, Roo Cline, Windsurf, MCP (Model Context Protocol), MCP Servers
- AI techniques: Prompt Engineering, Context Management, Chaining, Feedback Loops, Error Handling, Context Windows
- Design & documentation: Mermaid, wireframing, mockups, information architecture
Benefits
- Attractive salary (listed separately)
- Remote-first, flexible working culture
- Large freedom and real influence; collaborative team approach
- Company apartments in select European cities for work/getaways
Experience & Location
- Required experience: Product management 3 years, AI 3 years, LLM 3 years
- Work location: Remote