From the listing
About the role
The role involves utilizing AI across the end-to-end funnel for prospect research, personalization, and buying-signal detection to boost workflows and hand research briefs to representatives.
What you'll do
- Design the architecture of the GTM stack including CRM objects, fields, lifecycle stages, and routing logic.
- Integrate systems end to end using APIs, webhooks, and scripts across platforms like Salesforce, Clay, Nooks, and HubSpot.
- Ship AI-driven GTM workflows such as prompt chains and agents for automated prospect research and real-time alerts.
- Optimize commercial processes and evolve ways to generate revenue beyond just installing technology.
- Build automated data waterfalls to pull, clean, deduplicate, and route prospect data into the CRM.
- Reverse-engineer existing processes and execute migration plans that maintain pipeline and reporting integrity.
- Instrument workflows by defining and measuring metrics to evaluate output quality and ensure trustworthiness at scale.
- Partner with GTM teams to translate commercial goals into technical solutions.
What they're looking for
- 5+ years in GTM engineering, Revenue operations, growth engineering, sales engineering, or software engineering.
- Proven examples of implemented solutions that drove measurable pipeline impact.
- Deep, hands-on knowledge of the modern GTM stack, including architecting CRMs like Salesforce or HubSpot.
- Ability to build custom integrations and wire up new tools from documentation alone.
- Experience owning production workflows including error handling, retries, idempotency, and monitoring.
- Working experience using AI/LLMs in a GTM or automation context for prompt and context engineering.
- Commercial instinct regarding funnel mechanics, conversion rates, and unit economics.
- A bias toward shipping, rapid prototyping, and iterative development.
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Benefits
Work from anywhere20+ vacation daysWorkspace stipendHealth & wellness stipendPaid parental leaveAsynchronous work