# Staff Product Engineer, AI

**Company:** [Intercom](https://hotfix.jobs/companies/intercom)
**Location:** Berlin, Germany, Dublin, Ireland, London, United Kingdom
**Role:** ML Engineering
**Experience:** 10+ years
**Skills:** Python, Ruby, JavaScript, Ruby on Rails, Machine Learning, Transformer Neural Networks, Data Analytics, Statistical Modeling, Software Testing, Scalable Systems
**Posted:** 2026-07-20

> Build and ship AI-powered customer products by turning ML prototypes into robust, scalable production systems. The role requires staff-level software engineering expertise, 10+ years of product experience, strong programming fundamentals, and collaboration with scientists and product teams.

## Job Description

## Responsibilities
- Build the systems that power Fin’s flagship AI products, primarily in a machine-learning Python technology stack and occasionally across the Rails application.
- Work alongside ML Scientists to bring proof-of-concept code into robust, scalable production systems.
- Partner with product teams to shape AI-powered product experiences.
- Contribute to ideation, prototyping, implementation, and testing across the software development lifecycle.
- Participate in hiring, mentoring, and career development for other engineers.
- Raise technical standards for performance, reliability, and operational excellence.

## Requirements
- 10+ years of experience shipping high-quality products.
- Strong software engineering skills; prior ML experience is not required.
- Demonstrated significant impact in previous work.
- Strong technical fundamentals, willingness to learn, and commitment to professional development.
- Deep knowledge of a high-level programming language such as Ruby, Python, or JavaScript.
- Strong willingness to pursue good outcomes and a bias toward progress over perfection.
- BSc in Computer Science, Mathematics, Statistics, or a related discipline.

## Nice-to-haves
- Previous experience in data analytics or statistics.

## Compensation and Benefits
- Competitive salary and equity in a fast-growing startup.
- Lunch provided on weekdays, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Pension scheme with contributions matched up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook or other suitable equipment.
- Relocation support.
- Hybrid working policy requiring at least three days per week in the office.

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