# Staff AI Product Manager

**Company:** [Intercom](https://hotfix.jobs/companies/intercom)
**Location:** London, United Kingdom
**Role:** Product Management
**Experience:** 7+ years
**Skills:** Artificial Intelligence, Machine Learning, Generative AI, Prompt Engineering, Ai Evaluation, Ai Architectures, Product Strategy, Product Roadmap, Experimentation, Success Metrics, Product Development, Customer Research
**Posted:** 2026-08-31

> Staff AI Product Manager owning the vision, strategy, and roadmap for core AI platform and agent capabilities. The role requires strong AI/ML fluency, product judgment, customer insight, and the ability to lead cross-functional teams from experimentation through production.

## Job Description

## Responsibilities
- Own a major area of Fin’s AI platform or AI agent, including its vision, strategy, roadmap, and impact.
- Develop deep understanding of customer needs, business direction, and AI system capabilities to guide product decisions.
- Collaborate with ML scientists, ML engineers, AI designers, and ML researchers to assess ideas, feasibility, trade-offs, and product opportunities.
- Take AI concepts from exploration through production launches.
- Run experiments, define success metrics, evaluate performance, and iterate on AI experiences.
- Partner with the core product organization to integrate AI across the platform.
- Collaborate with go-to-market, marketing, support, and operations teams to drive adoption and customer impact.
- Create clarity and alignment across teams, communicate decisions, and drive outcomes.

## Requirements
- Strong AI and technical fluency, including experience building or working deeply with AI/ML products; generative AI experience is preferred.
- Ability to discuss model behavior, evaluation, prompts, architectures, constraints, and trade-offs with technical partners.
- Excellent product judgment across customer needs, business goals, and technical realities.
- Strong problem-framing and customer-insight skills using research, data, and customer conversations.
- Experience collaborating with engineering and design to ship high-quality software.
- Ability to test, measure, and iterate on AI systems and user-facing AI features.
- Understanding of safety, reliability, and customer value in AI products.
- Strong communication, influence, leadership, ownership, and ability to create momentum in ambiguous environments.

## Benefits
- Benefits and programs supporting health and wellbeing, family, time away from work, and financial security; offerings vary by location.

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