About the job
At Intercom, we are redefining customer service through innovative AI solutions, ensuring businesses can provide exceptional customer experiences.
Our flagship product, Fin, is recognized as the most advanced AI customer service agent on the market, allowing companies to deliver seamless, around-the-clock support while enhancing overall customer interactions. When paired with our Helpdesk, it evolves into the complete Intercom Customer Service Suite, catering to intricate queries that necessitate human intervention.
Since our inception in 2011, Intercom has gained the trust of nearly 30,000 businesses globally, setting new benchmarks in customer service. We are committed to our core values, which drive us to push boundaries, operate with agility, and consistently offer unparalleled value to our clients.
What’s the opportunity?
As a Product Engineer at Intercom, your role will be pivotal in addressing real customer challenges through the intelligent and efficient application of your technical expertise. You will become an integral part of our multidisciplinary product teams, developing both back-end and front-end systems while collaborating closely with designers, product managers, researchers, and data analysts.
We are currently navigating exciting scaling challenges as we build a resilient platform where your skills can be utilized in various areas such as crafting a user-friendly messenger composer, implementing rule matching, ensuring deliverability, upholding security, enhancing app availability, and leveraging machine learning, among others.
What will I be doing?
As a seasoned engineer, you will:
- Develop comprehensive technical plans and contribute to our architectural strategy as we scale our products to accommodate tens of millions of users daily.
- Craft Ruby code that integrates a variety of AWS, infrastructure, platform, and SaaS technologies that constitute the backbone of Intercom’s backend infrastructure.
- Deploy a change to production on your first day and launch a feature within your first week. This “day one” change is seamlessly integrated into production alongside numerous other deployments.

