About the job
At Intercom, we are revolutionizing customer service through AI technology. Our mission is to empower businesses to deliver exceptional customer experiences by leveraging our advanced AI agent, Fin. This cutting-edge solution enables businesses to provide round-the-clock, flawless customer service and significantly enhances customer interactions. By integrating Fin with our Helpdesk, we offer the Intercom Customer Service Suite, a comprehensive solution tailored for complex queries requiring human assistance.
Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses globally, setting a new benchmark for customer service excellence. We are driven by core values that inspire us to push boundaries, innovate rapidly, and consistently deliver outstanding value to our clients.
What Opportunities Await You?
The demand for data at Intercom is skyrocketing, driven by our growth and ambition to integrate sophisticated, AI-driven data solutions. Our Data Engineering team is the heartbeat of our organization, responsible for constructing and upholding the infrastructure that transforms raw data into actionable insights, empowering teams across Product, Research, and more. We seek an experienced Senior Data Engineering Manager to lead pivotal data initiatives and propel our efforts forward.
Key Responsibilities
This role emphasizes impact and leadership. You will guide a team dedicated to designing and refining the core infrastructure that forms the backbone of our data ecosystem.
- Next-Gen Platform Evolution: Collaborate with product and business teams to architect and implement the next generation of our data stack, ensuring it meets the requirements of advanced analytics and AI applications.
- Enablement Through Tooling: Work closely with Analytics Engineers, Analysts, and Data Scientists to develop the self-service tools and infrastructure necessary for swift and secure deployments.
- Data Quality Guardianship: Establish advanced monitoring systems to proactively identify, highlight, and resolve data quality issues within our high-volume environment.
- Driving Automation: Create automation and tools that simplify the generation and discovery of high-quality analytics data, enhancing the overall efficiency of the data lifecycle.
Your Strategic Impact
In this pivotal role, you will not only shape our data strategy but also significantly influence the direction of our data infrastructure, enabling us to harness the power of data to drive business success.

