Freelance GTM (Go-to-Market) Engineer Overview Technical GTM Engineer for a fast-growing talent-tech platform, responsible for building, integrating, and automating the revenue-stack around HubSpot to turn data into predictable pipeline and revenue. Company Summary We’re a remote-first, high-growth company on a mission to reinvent how organizations discover, engage, and manage talent. By combining AI, data, and human expertise, we help clients scale flexible workforces quickly and efficiently. Responsibilities • Own the technical side of the GTM stack (HubSpot, Segment, Clearbit, Chili Piper, ZoomInfo, and the data warehouse) • Design and maintain a robust event schema; set up tracking via APIs, webhooks, and CDP • Build and optimize low-code / no-code workflows (Zapier, Workato, Python/JS scripts) that eliminate manual steps for SDRs, AMs, and Customer Success • Implement lead routing, scoring, enrichment, SLAs, and attribution models • Create dashboards that surface real-time KPIs for marketing, sales, and rev-ops • Partner with RevOps & Marketing to translate business requirements into technical specs, docs, and runbooks • Prototype AI-driven tools (e.g., OpenAI, LangChain) to enrich data or personalize outreach at scale • Champion data governance, deduplication, and a single source of truth Requirements • 4+ years in technical RevOps, marketing engineering, or data engineering roles • Proven track record integrating and automating SaaS GTM stacks with HubSpot at the core • Fluency in REST/GraphQL APIs, JavaScript or Python, and SQL • Experience with CDPs, ETL/ELT pipelines, and BI tools (Looker, Tableau, Superset, etc.) • Strong problem-solving skills and the ability to ship MVPs in days, not weeks • Excellent written and verbal communication; able to interface with both technical and non-technical stakeholders • Bonus: familiarity with staffing/recruiting workflows, generative-AI prompting, dbt, or Airflow Skills • HubSpot (Marketing, Sales, Service Hubs) • Segment (or similar CDP) • Clearbit, Chili Piper, ZoomInfo • JavaScript / TypeScript • Python • SQL & data warehousing (Snowflake, BigQuery, Redshift, etc.) • REST & GraphQL APIs • Zapier / Workato / n8n • Looker, Tableau, Superset • Git, CI/CD • dbt, Airflow (nice to have) • OpenAI / LangChain (nice to have) Details • Experience Level: senior • Location: remote • Start Date: ASAP • Hourly Rate: $85 – $120 (DOE) Please complete AI interview as step 1 of the interview process.