Staff Data Engineer - GTM
The Staff Data Engineer will build and maintain the account and contact data foundation for GTM operations, utilizing LLMs, Snowflake, and dbt to drive sales and marketing efficiency. This role involves entity resolution, pipeline development, and close partnership with RevOps and sales teams to ensure high-quality data across the company's GTM stack.
- Compensation
- Not disclosed
- Location
- Dublin, Ireland
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Genuine interest in growing the business and affinity for GTM teams
- Experience with modern data stack: dbt, cloud warehouse (Snowflake), and DAG orchestrator (Airflow)
- Experience building with LLMs in production: prompt design, tool calling, web search/crawling, cost/latency control
- Experience with entity resolution, identity, or deduplication problems
- Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce
- Strong communication skills
Nice to have
- Experience with GTM data vendors and tooling (ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong)
- Experience with territory design, account scoring, propensity models, or ICP definition
- Exposure to privacy and compliance considerations (GDPR, CCPA, consent management)
Full description
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.
What is the opportunity?
Every go-to-market decision at Intercom, who we target, who owns the account, what we know about them, what we should say next - rests on a foundation of account and contact data. Getting that foundation right is one of the highest-leverage engineering problems in the company: a single account hierarchy fix can re-route territory, pipeline credit and forecast for thousands of accounts at once.
This role owns that foundation. You will build and run the systems that decide what an account is, resolving duplicates, stitching subsidiaries into corporate hierarchies, sourcing new accounts and contacts into our CRM, and enriching them with firmographic, technographic and intent signals. Increasingly using LLMs and web research rather than off-the-shelf vendors. Your work is used daily by Sales, Marketing, Partnerships, Sales Ops and Finance, and directly shapes how efficiently Intercom grows.
You will sit in the Data group and partner extremely closely with GTM Systems, RevOps and the frontline teams. This is a role for an engineer who wants to be in the business, not adjacent to it. Someone who gets energy from a rep saying "this list is exactly right" and from watching a pipeline they built turn into revenue.
What will I be doing?
- Owning account identity. Building and improving the entity-resolution layer that decides when two records are the same company: domain and firmographic matching, confidence scoring, and the merge/dedupe pipelines that keep Salesforce clean at scale.
- Modelling account hierarchy. Designing the organisation spine that links accounts to their parent, top operating parent and ultimate corporate parent.
- Building account sourcing pipelines. Turning market definitions into ranked, deduplicated, CRM-ready account lists: sourcing from third-party and internal signals, scoring fit, and pushing accounts into Salesforce with the right owner and the right metadata.