About the job
Intercom is at the forefront of AI-driven customer service, dedicated to revolutionizing how businesses engage with their customers.
Our cutting-edge AI agent, Fin, is the most advanced solution available, allowing companies to provide round-the-clock, exceptional customer support that significantly enhances customer experiences. When combined with our Helpdesk, it forms the comprehensive Intercom Customer Service Suite, tailored to address intricate queries that necessitate human intervention.
Established in 2011 and trusted by almost 30,000 businesses worldwide, Intercom is redefining customer service standards. Guided by our core values, we continuously strive to push boundaries and deliver unmatched value to our clientele.
What is the opportunity?
As the volume and speed of data continue to expand at Intercom, driven by our growth and the integration of advanced AI solutions, the Data Engineering team stands as a vital force propelling our future.
We are on the lookout for a talented Senior Data Engineering Manager to spearhead key data initiatives and propel our efforts forward.
What will I be doing?
This position emphasizes impact and leadership. You will guide a team responsible for designing and enhancing the core infrastructure that underpins our comprehensive data ecosystem.
- Next-Gen Platform Evolution: Collaborate with product and business teams to lead the architectural design and implementation of our next-generation 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 create self-service tools and infrastructure that facilitate rapid deployment and safe operations.
- Data Quality Guardianship: Establish advanced monitoring systems to proactively identify, highlight, and resolve data quality issues within our high-throughput environment.
- Driving Automation: Innovate automation and tooling that optimizes the creation and discovery of high-quality analytics data, enhancing the overall data lifecycle's efficiency.

