Staff Data Engineer - GTM

Salary: £62,000 - 102,000 per year

Requirements:

• A genuine interest in growing the business and a real affinity for GTM teams. We are curious about how sales and marketing work, comfortable in a room full of reps, and motivated by commercial outcomes rather than only technical ones.
• Experience with the modern data stack: dbt, a cloud warehouse (we use Snowflake), and a DAG orchestrator (we use Airflow).
• Experience building with LLMs in production: prompt design and evaluation, tool/function calling, web search and crawling, cost and latency control.
• Experience with entity resolution, identity or deduplication problems — matching messy real-world records, and reasoning about precision/recall trade-offs where a false merge has a real business cost.
• Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce: reading from them, writing back to them.
• Strong communication: we can explain a hierarchy change to a CRO and a merge heuristic to an engineer, on the same day.
• A growth mindset and eagerness to learn — the tooling in this space is changing fast.
• 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 around contact data (GDPR, CCPA, consent management).

Responsibilities:

• Owning account identity. We build and improve 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. We design the organisation spine that links accounts to their parent, top operating parent and ultimate corporate parent.
• Building account sourcing pipelines. We turn 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.
• Building contact sourcing and enrichment pipelines. We find the right people at target accounts, verify and enrich them, respecting privacy and consent requirements, and delivering them into the tools reps and marketers actually work in.
• Building LLM-powered enrichment. We extend our enrichment framework — LLM jobs with web search and crawling tools across multiple providers, to answer questions no vendor sells: what support channels does this company run, are they hiring CS or sales roles, do they ship an AI product, how ready are they for Fin.
• Making the data usable. We land everything in well-modelled, well-tested dbt models in Snowflake orchestrated in Airflow, and sync it out to Salesforce, Marketo, Clay and the rest of the GTM stack.
• Owning quality and trust. We instrument our pipelines with tests, alerts and reconciliation so problems surface before a rep finds them, and we are the person GTM comes to when a number looks wrong.
• Partnering on the problem, not the ticket. We sit with Sales, Marketing and Ops to understand what they are actually trying to do, then propose the data foundation that unlocks it.

Technologies:

• AI
• Airflow
• Apollo
• Census
• Claude Code
• Cloud
• CRM
• Fivetran
• Support
• LLM
• Marketing
• REST
• Salesforce
• Snowflake
• Web
• dbt
• Windows

More:

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, and can be combined with our natively integrated Intercom help desk for one system designed to meet the needs of modern support teams. Founded in 2011, we became one of the fastest growing companies and remain one of the largest private software companies in the world with nearly 30,000 global businesses using our products. We offer competitive salary and equity, weekday lunch, snacks and a stocked kitchen, compensation reviews, unlimited access to Claude Code and best-in-class AI tools, pension match up to 4%, life assurance, comprehensive health and dental insurance, flexible paid time off, paid maternity leave, six weeks paternity leave, a Cycle-to-Work Scheme, secure bike storage, and MacBooks as standard. We work on a hybrid basis and expect employees in the office at least three days per week. We have a radically open and accepting culture, are committed to Equal Employment Opportunity, and focus on doing incredible work guided by our core values.

last updated 35 week of 2026