Implement Go-to-Market software for our marketing, sales, and agent development teams
Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation
Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources
Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand
Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models
Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change
Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts)