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Salary: USD 135,000 - 200,000 / annual
DualEntry is building an AI-native ERP platform that automates accounting workflows from data entry to close. The company has raised $100M+ from top-tier investors including Lightspeed, Khosla Ventures, Contrary, and Google Ventures, and serves customers ranging from $5M ARR to publicly traded companies.
As GTM Engineer, you will own and continuously improve the go-to-market and RevOps infrastructure across HubSpot and outbound tools. Your responsibilities include:
- Building and iterating on cold email and LinkedIn outreach sequences, focusing on copy, targeting, and sequencing strategy
- Setting up and optimizing outbound workflows using tools like Smartleads, HeyReach, and Clay; evaluating and recommending improvements to the tech stack
- Writing, testing, and refining outbound copy for email and LinkedIn with a clear focus on booking meetings
- Defining and maintaining lead tracking, routing logic, and lifecycle stages in HubSpot across inbound, outbound, and LinkedIn channels
- Identifying lead drop-off points (forms, ads, partial bookings) and implementing automated follow-ups to improve conversion
- Maintaining clean, enriched data using Apollo, FullEnrich, RB2B, Nooks, and similar tools
You'll work in a high-speed, high-trust environment with significant equity ownership and the opportunity to grow with an early-stage AI company. Your feedback directly shapes product decisions, and you'll operate with high agency in a collaborative, in-office culture with minimal bureaucracy.
REQUIREMENTS:
- 2+ years of experience in a GTM Engineer, RevOps, Sales Ops, or Marketing Ops role
- Strong hands-on experience with HubSpot, including workflows, lifecycle stages, routing, and reporting
- Proven experience building and managing outbound sequences end-to-end
- Confidence in writing, testing, and optimizing outbound copy
- Practical experience with Clay, Smartleads, HeyReach, Apollo, FullEnrich, RB2B, Demandbase, or similar GTM stack tools
- Strong understanding of lead tracking, attribution, and follow-up workflows
- High attention to detail and strong data quality mindset
- Hardcore work ethic and high agency
