What is the opportunity?
Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test.
We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.
We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.
What will I be doing?
- Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
- Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
- Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
- Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
- Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
- Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
- Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.
About You
- You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
- You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
- A growth mindset and eagerness to learn.
- You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
- You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences
Nice to haves
- Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
- Worked in Tableau, Looker, or similar visualization/business intelligence platform
- Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
- Familiarity with Python
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
- Competitive salary and equity in a fast-growing start-up
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
- 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
- Flexible paid time off policy
- 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.
#LI-Hybrid
