# Staff AI Product Manager

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

> Leads vision, strategy, and delivery for a major area of an AI platform or agent, partnering with research, engineering, design, and go-to-market teams. Requires strong AI/ML fluency, product judgment, customer insight, and leadership in ambiguous technical environments.

## Job Description

## Responsibilities
- Lead a major area of Fin’s AI platform or AI agent, owning its vision, strategy, roadmap, and impact.
- Develop deep customer, business, and technical understanding to make high-quality product decisions.
- Collaborate with ML scientists, ML engineers, AI designers, and ML researchers to explore ideas, assess feasibility, evaluate trade-offs, and turn AI capabilities into product experiences.
- Take AI concepts from exploration through production launch.
- Run experiments, define success metrics, evaluate performance, and iterate on AI systems and user-facing features.
- 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 alignment, communicate decisions clearly, and lead teams toward impactful outcomes.

## Requirements
- Strong technical fluency and deep experience with AI/ML products, ideally including generative AI.
- 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 direct customer conversations.
- Ability to collaborate with engineering and design to ship high-quality software.
- Experience testing, measuring, and iterating on AI systems and user-facing AI features.
- Strong focus on safety, reliability, and customer value.
- Strong communication, influence, leadership, ownership, and ability to create momentum in ambiguous environments.

## Benefits
- Autonomy, impact, and responsibility on an experienced AI team.
- Benefits and programs supporting health and wellbeing, family, time away from work, and financial future; offerings vary by location.

## Work Arrangement
- Hybrid working policy requiring employees to work in the office at least three days per week.

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