GTM Engineer

Responsibilities: — Design, build, and optimize automated outbound sequences with agentic workflows that personalize at scale. — Collaborate with marketing and GTM teams to generate pipeline from agentic GTM motions end to end, including prospecting logic, enrichment, sequencing, measurement, and continuous improvement. — Build and maintain a shared system of context that powers agents used by Marketing, BDRs, and AEs across the organization. — Deploy automations that enhance BDR and AE effectiveness, such as auto-research, meeting preparation, call briefings, and follow-up workflows that increase logged activity (emails, calls, meetings). — Instrument and report on sequence performance metrics like open rates, reply rates, meeting set rates, and pipeline sourced, translating these into an experimentation roadmap for continuous improvement. — Collaborate with BDR leadership and Marketing to align agentic motions with target segments, campaigns, and the buyer journey, ensuring automated outreach complements human-led efforts. — Evaluate, integrate, and maintain the technology and tool stack (Clay, coding agents, enrichment providers, sequence platforms) necessary to run agentic GTM at scale. Requirements: — Experience building agentic solutions using AI coding agents such as Claude Code, Cursor, Copilot, Clay, or similar martech tools, beyond simple templates or automations. — Domain experience in GTM Engineering, Sales Development, Marketing, Marketing Operations, Sales Operations, or Revenue Operations with hands-on experience building automated workflows. — Data-driven mindset with the ability to design experiments, analyze results, and iterate quickly. — Excellent written communication skills for authoring templates, prompts, and frameworks used by agents. — Strong working knowledge of B2B outbound sales motions including sequencing, prospecting, enrichment, intent signals, and pipeline measurement is a plus. — Comfortable writing and debugging code (Python, JavaScript, or similar) to connect APIs, manipulate data, and build custom automations. — Familiarity with MAPs, CRM, and sales engagement platforms such as Salesforce, HubSpot, Outreach, or similar. — Familiarity with enrichment tools like ZoomInfo, Apollo, Clearbit, intent data platforms such as UserGems, Bombora, 6sense, or building multi-step AI agent workflows. Benefits: — Competitive salary range of $140,000 to $200,000 USD per year, with compensation dependent on proficiency, performance, and candidate location. — Total rewards package includes equity, comprehensive health benefits, and other perks. Additional Information: — Remote work is allowed. — The role prioritizes learning velocity and a growth mindset over years of experience. — Success metrics include pipeline dollars sourced, time saved for BDR and AE teams, and a robust system of context improving agent intelligence over time. — The role involves working in a fast-evolving field requiring shipping, measuring, iterating, and adapting without waiting for established playbooks.