The opportunity
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
What you'll do
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.
What they're looking for
- 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 ticket. Sitting with Sales, Marketing and: Ops to understand what they are actually trying to do, then proposing the data foundation that unlocks it.
- A genuine interest in growing the business and a real affinity for GTM teams.: You 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).
