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The volume and velocity of data at Intercom are exploding, fueled by our growth and our drive to integrate more sophisticated, AI-assisted data solutions. The Data Engineering team is the critical engine powering Intercom's future. We are responsible for building and maintaining the distributed foundations that transform raw information into actionable intelligence, empowering all Intercom teams, from Product to Research. We are looking for a seasoned Senior Data Engineering Manager to take ownership of key data initiatives and drive these efforts forward.
Job Responsibility:
Next-Gen Platform Evolution: Partner with product and business teams and lead the architectural design and implementation of the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.
Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build the self-service tooling and infrastructure they need to move fast and deploy safely.
Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment (where dozens of changes can ship daily).
Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.
GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business focused internal software.
Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible, users should be able to query information—getting both raw numbers and contextual narratives instantly—without needing a data science degree or waiting on analysts.
Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure and to ensure it can scale exponentially for future growth and advanced use cases.
Requirements:
7+ Years Experience: You have a proven, full-time career history in the data space, leading teams of 6+ Engineers.
Stakeholder Focus: You can communicate complex technical solutions to a business focused audience and vice versa. You are comfortable interacting with stakeholders across the entire breadth of the business.
Technical Depth: Your team will be responsible for the majority of execution, but you’re not afraid to get your hands dirty and write code when it’s needed. You lead from the front.
A Leader & Mentor: You naturally recognize opportunities to step back and mentor others, understanding when your guidance will multiply the team's output.
Nice to have:
Airflow at Scale: Extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.
Modern Data Stack Fluency: Familiarity with tools like Snowflake and DBT.
Future-Focused: You keep a keen eye on industry trends and emerging technologies, always thinking about what's next.
What we offer:
Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed.