GTM Engineer

ParaformSan Francisco, CA
11dOnsite

About The Position

Paraform runs a sales-led go-to-market motion and is growing rapidly in both revenue and GTM complexity. We’re hiring a GTM Engineer to systematically discover, test, and scale the highest-quality leads, channels, and GTM motions for our sales team to execute on. This role treats GTM as an engineering and experimentation problem: generating creative hypotheses about where demand lives, building scrappy tooling to surface the best opportunities, measuring signal vs. noise, and evolving what works into scalable GTM systems. You won’t just support GTM — you’ll decide where sales and marketing teams spend their resources

Requirements

  • Hands-on experience using low-code AI workflow tools in GTM capacity (Clay, n8n, Zapier, etc)
  • 3+ years in Investment Banking, GTM Engineering, Growth Ops, or Data Science
  • Advanced SQL, Python, and Excel skills
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related STEM field (preferred)
  • Ability to operate independently with minimal direction
  • Clear communicator — able to explain why certain leads or channels matter to senior leadership
  • Ability to work 5 days per week in-office in San Francisco

Responsibilities

  • Continuously identify and validate the highest-quality lead sources, segments, and channels for our sales team
  • Design systems that surface who to contact, when to contact them, and why
  • Build lead-scoring and prioritization frameworks that help sales focus on the highest-intent opportunities
  • Translate insights into clear, executable inputs for sales (lists, alerts, routing logic, playbooks
  • Build robust reporting infrastructure to provide autonomous visibility into experiments and channel performance
  • Build lightweight tools, scripts, and automations to test GTM ideas quickly
  • Use Clay, LinkedIn, scraping utilities, APIs, and no-code tools to: enrich and prioritize leads, personalize outreach at scale, orchestrate experimental lead pipelines
  • Reduce manual work by replacing it with autonomous lead intelligence systems
  • Design and launch experimental website features to test, optimize, and scale marketing acquisition channels
  • Uplevel current internal GTM tooling to production-grade applications that operate as autonomous lead channels
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