Remote job
Sr. GTM Engineer, Inbound
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About this role
Role overview A senior individual-contributor position embedded with demand generation, digital, and marketing operations to build the inbound funnel. The role ships AI agents, automations, and integrations that compress lead-response time, sharpen lead scoring, and personalize the buyer journey from first touch to sales handoff. Success is measured by faster speed-to-lead, higher conversion rates, and teams that no longer perform the manual version of this work.
Responsibilities - Build automations that route, score, and respond to inbound leads in minutes. - Design and deploy AI agents such as chat, form-follow-up, and lead-qualification assistants. - Integrate website personalization, dynamic forms, and content recommendations tied to visitor intent and account data. - Integrate marketing automation, CDP, enrichment, intent data, and CRM to keep lead data accurate at every handoff. - Automate content production, on-page optimization, and SEO performance tracking. - Build evaluation harnesses for lead-scoring accuracy, chat-agent quality, and routing correctness. - Implement human-in-the-loop review, logging, and rollback for customer-facing outputs. - Coach marketing operations and demand generation on AI adoption and produce playbooks and reusable templates.
Requirements - Senior-level hands-on builder comfortable shipping AI agents and automations against real funnel metrics. - Deep familiarity with marketing automation, CDP, enrichment, intent data, and CRM platforms (for example Marketo or HubSpot, Salesforce, Segment, ZoomInfo or Clearbit, and 6sense). - Ability to design evaluation harnesses and measure quality against human baselines. - Strong coaching skills for non-technical marketers without relying on positional authority.
Nice to have - Practical experience fine-tuning or heavily customizing models for production use cases. - Background in B2B or enterprise SaaS with brand-safety and compliance constraints on automated outputs. - Experience with AI system practices such as prompt evals, benchmarking, and regression testing.
Benefits and work setup - U.S. base salary range of $132,000–$182,000 USD, varying by location. - Benefits package including medical, dental, and vision coverage; 401(k) with match; life and disability insurance; flexible time off; paid holidays and sick time; parental and grandparent leave; RSUs and ESPP; wellness coaching and gym reimbursement; home office allowance; and mobile phone reimbursement.