About the company
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.
Responsibilities
- 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.
- Building contact sourcing and enrichment pipelines: finding the right people at target accounts, verifying and enriching them, respecting privacy and consent requirements, and delivering them into the tools reps and marketers actually work in.
- Building LLM-powered enrichment: extending 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: landing everything in well-modelled, well-tested dbt models in Snowflake orchestrated in Airflow, and syncing it out to Salesforce, Marketo, Clay and the rest of the GTM stack.
- Owning quality and trust: instrumenting your pipelines with tests, alerts and reconciliation so problems surface before a rep finds them, and being the person GTM comes to when a number looks wrong.
- Partnering on the problem, not the task.