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Intercom is seeking a Staff Data Engineer to own the account and contact data foundation that powers all go-to-market decisions across the company. This is a high-leverage engineering role where a single data fix can re-route territory, pipeline credit, and forecast for thousands of accounts.
You will build and operate systems that define what an account is, resolve duplicates, stitch subsidiaries into corporate hierarchies, source new accounts and contacts into the CRM, and enrich them with firmographic, technographic, and intent signals. The work increasingly leverages LLMs and web research alongside traditional data sources.
Key responsibilities include:
- Owning the entity-resolution layer that determines when two records represent the same company, including domain matching, firmographic scoring, and merge/dedupe pipelines that keep Salesforce clean at scale
- Designing the organization spine that links accounts to their parent, top operating parent, and ultimate corporate parent
- Building account sourcing pipelines that turn market definitions into ranked, deduplicated, CRM-ready lists with proper ownership and metadata
- Creating contact sourcing and enrichment pipelines that find, verify, and enrich the right people at target accounts while respecting privacy requirements
- Building LLM-powered enrichment to answer questions vendors don't sell: support channels, hiring signals, AI product presence, and Fin readiness
- Landing all data in well-modeled, tested dbt models in Snowflake, orchestrated in Airflow, and syncing to Salesforce, Marketo, Clay, and the GTM stack
- Instrumenting pipelines with tests, alerts, and reconciliation to surface problems before frontline teams encounter them
- Partnering with Sales, Marketing, Ops, and Finance to understand business problems and propose data foundations that unlock growth
You will sit in the Data group and partner closely with GTM Systems, RevOps, and frontline teams. This role is for an engineer who wants to be in the business, not adjacent to it—someone energized by reps saying "this list is exactly right" and watching pipelines turn into revenue.
Required experience: modern data stack (dbt, Snowflake, Airflow), production LLM work (prompt design, tool calling, web search, cost/latency control), entity resolution and deduplication problems, SaaS API and Salesforce integration, strong communication across technical and business audiences, and genuine interest in GTM and commercial outcomes.
