GTM Engineer

This is a fully remote position, open to applicants in United States, +1 more state.

📋 Description

• Take ownership of and enhance Expo's live portfolio of AI agents and automations across self-service, marketing, and revenue data.

• Develop AI agents and workflows for account research, lead routing, outbound personalization, and forecasting support.

• Transform ambiguous business challenges into implemented systems utilizing LLM APIs and agent tools.

• Collaborate with sales, marketing, product, and engineering teams to identify core issues and automate solutions.

• Integrate HubSpot, BigQuery, Stripe, Slack, and advertising platforms through APIs and webhooks.

• Design scalable systems with a focus on data validation, deduplication, governance, security, and privacy.

• Convert product usage, enrichment data, and buying signals into scoring, routing, and lifecycle automation.

• Implement systems and evaluate their impact on pipeline, conversion rates, win rates, and representative productivity.

• Make informed buy-versus-build decisions and advance the GTM technology stack.

• Thoroughly document all developments, including functionality, operation, and troubleshooting processes.

• Publish AI playbooks, empower non-technical team members, and advocate for AI-native GTM methodologies.

⛳️ Requirements

• 3-5 years of experience in GTM engineering, RevOps, marketing/sales operations, growth engineering, or software engineering with a focus on GTM knowledge.

• Daily proficiency with AI coding assistants such as Claude Code, Cursor, and Codex.

• Experience in building with LLM APIs and agents, including prompting, tool usage, and evaluations.

• Proficiency in SQL along with Python or TypeScript.

• Hands-on experience with CRM systems, particularly HubSpot workflows, data models, and APIs, or equivalent Salesforce experience.

• High degree of ownership in ambiguous settings.

• Familiarity with tools like Clay, n8n, Zapier, or similar enrichment and workflow technologies is a plus.

• Experience with MCP or agent SDK is advantageous.

• Background in data warehouse modeling using BigQuery or dbt is desirable.

• Proven track record of delivering AI agents that influenced actual revenue metrics is preferred.

• Experience in developer tools or product-led growth is a plus.

• Previous RevOps experience in a high-growth startup is advantageous.

• Ability to work primarily during North American business hours.

• Applicants must disclose their location and confirm authorization to work in that location without employer sponsorship.

🏝️ Benefits

• Competitive salary along with an equity package.

• Comprehensive healthcare benefits including medical, dental, and vision (U.S. only).

• 401(k) plan with company matching (U.S. only).

• $6,000 budget for equipment such as laptops, monitors, etc.

• Flexible work schedule.

• Flexible paid time off; employees typically take around 17 days off annually in addition to regional holidays.

• 12-week fully paid parental leave for all new parents.

• Annual budget allocated for courses, books, or training.

• Opportunities to speak at conferences, represent Expo at industry events, and participate in regional meetups with the team.

• Flexibility and autonomy to work in a manner that suits each individual best.