Responsibilities

• Design and own the automated workflows that ingest raw signals—like tech-stack changes or website behavior—and transform them into ready-to-act leads for Sales.
• Support the integration of LLMs to automate deep-dive account research and generate hyper-personalized outreach at a scale that maintains human-level relevance.
• Build the "connective tissue" across the revenue stack using Python, SQL, and REST APIs, ensuring seamless data orchestration between tools like Salesforce and Slack.
• Drive the technical setup and A/B testing for new growth hypotheses, moving from idea to live, instrumented campaigns in days by bypassing traditional dev backlogs.
• Develop scalable flows in Clay, Cargo, or n8n to sanitize unstructured data and validate new third-party intent sources (e.g., technographics or hiring trends).
• Directly reclaim GTM time by automating "data stitching" and delivering auto-generated "Account Cheat Sheets" directly into the CRM or Slack.
• Act as the agile executor for the experimental layer of the GTM stack, packaging and documenting successful technical plays for global adoption by the broader RevTech team.

Requirements

• 2–4 years of experience in Revenue Operation, Sales Operations, Growth Engineering, Forward Deployed Engineer.
• Proficiency in Python and SQL — you will write code as needed.
• Strong understanding of API logic and connectivity.
• Working knowledge of Salesforce
• Experience with at least one modern GTM enrichment/orchestration platform (Clay, Cargo, Clearbit, Apollo, ZoomInfo, or similar).
• Demonstrated ability to take a workflow from idea to production — scoping, building, testing, documenting, and iterating.
• Comfort working with data at scale: cleaning, transforming, enriching, and routing contact/account records.