GTM Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain the GTM data layer, encompassing pipelines, data models, and identity matching.

• Integrate CRM, product telemetry, Stripe/Maxio billing, and market data into a cohesive account overview.

• Create monitored and documented integrations and automations.

• Oversee technical administration across essential systems, including webhooks, rate limits, and error notifications.

• Provide accurate, timely, warehouse-backed reports on pipeline, funnel velocity, sales activities, and multi-touch attribution.

• Construct Claude skills, internal applications, and LLM workflows for prospect research, enrichment, scoring, summarization, deal hygiene, representative enablement, and handoff milestones.

• Ensure AI workflows are production-ready, robust, and consistently valuable.

• Transform customer usage signals, prospecting triggers, account intent, and enrichment data into automated routing and actionable tasks for sales and customer success teams.

• Monitor system and tool impact, including saved representative hours, user adoption, data quality, and influence on the pipeline.

• Scale revenue-generating systems and phase out ineffective ones.

• Convert ad-hoc business requests into streamlined technical systems and efficient processes for GTM individual contributors and leadership.

⛳️ Requirements

• 3–6+ years of experience in RevOps, Sales Ops, or technical GTM roles.

• Solid understanding of pipeline dynamics, funnel conversion, quotas, forecasting models, and attribution mechanics.

• Hands-on architectural expertise with HubSpot, including custom objects, properties, advanced workflows, and the HubSpot API.

• Proficient SQL skills for data querying and transformation.

• Working knowledge of Python or a comparable scripting language for REST APIs, webhooks, and data pipelines.

• Direct experience in constructing practical workflows with Claude or other LLMs.

• Proven history of AI builds that are actively utilized and relied upon.

• Experience in integrating AI coding tools into daily operations.

• Capability to convert vague business requests into scalable technical systems and efficient operational processes.

• Ability to communicate technical trade-offs to commercial leaders in clear, accessible language.

• Skill in documenting architecture and setting up monitoring to prevent silent sync failures.

• End-to-end accountability for business results.

• Nice to have: experience modeling data for Stripe, Maxio, or recurring subscription billing.

• Nice to have: familiarity with Snowflake, BigQuery, and dbt.

• Nice to have: knowledge of n8n, Clay, or Temporal.

• Nice to have: prior experience in a multi-product SaaS environment or post-acquisition data consolidation.

• Moderate understanding of pipeline stages, representative quotas, and funnel mathematics.

🏝️ Benefits

• Competitive salary.

• Comprehensive health, dental, and vision insurance.

• Flexible PTO.

• Remote-first culture.

• Commitment to work-life balance.

• Professional development opportunities.

• Direct access to leadership, minimal bureaucracy, and high visibility.

• A high-caliber sales culture focused on coaching, commercial excellence, and genuine career growth.