GTM Engineer (NYC)

Revin•New York, NY

23h•Onsite

About The Position

At Revin, our mission is to bring superintelligence to the built world. Millions of operators across Home Services, Construction, and Remodeling have been overlooked by the last wave of technology. We believe AI is the most transformational platform change in history, but the hard work lies in thoughtful, context-aware applications of this technology to the real world. Revin provides operators with an end-to-end system of intelligence to automate and scale revenue. Our modular suite of products includes Scheduling, Appointment Management, Membership Management, Inside Sales, Revenue Capture, Marketing, and Funnel Optimization. Over $2.3B in revenue runs on Revin, making us the number one AI partner for enterprise operators. Our customers include Sears Home Services ($800M), Astara Capital ($700M), Del Air ($150M), Long Home Remodeling ($150M), ImproveIt Remodeling ($100M), Sage Home ($80M), and more. We have raised $10M from top investors including Stellation Capital, 1Sharpe, Gokul Rajaram, Russ Heddleston, Michael Werner, Tandem, Max Branzburg, and Marc Bhargava. This is a true 0→1 role where you’ll design the systems, workflows, and automations that directly generate pipeline and drive revenue. This is a hands-on, commercially driven role that blends technical execution with real business impact—where revenue judgment matters as much as technical depth. You will design and own the infrastructure, workflows, and automations that generate pipeline, accelerate enterprise sales cycles, and drive expansion across our customer base, while making AI tools truly usable for operators. Sitting at the intersection of Sales, Marketing, Product, and Data, you will turn AI and automation into measurable revenue outcomes. This is a true 0→1 build—there is no existing playbook—so you will play a key role in creating, optimizing, and scaling the systems from the ground up. You will directly influence pipeline generation, deal velocity, and revenue outcomes from day one.

Requirements

3-6 years experience in GTM, Growth, RevOps, Sales Ops, Sales Engineering, or similar revenue-driving roles.
Deep understanding of enterprise revenue mechanics and sales cycles.
Builder mentality: You ship systems, not slide decks.
Hands-on experience with Salesforce or HubSpot.
Familiarity with Clay.com, enrichment platforms, sequencing tools, and workflow automations.
Comfortable leveraging AI solutions to increase output and automate processes.
Highly autonomous and comfortable operating in ambiguity.
Commercially minded: You understand revenue drivers and where deals get stuck.
Strong collaborator: You can communicate clearly across GTM, Product, and Data teams.
Execution-driven: You ship fast, iterate constantly, and solve problems proactively.

Nice To Haves

SQL, Python, or JavaScript experience for workflow scripting.
Previous exposure to reverse ETL or AI-powered automation.
Admin-level experience in Salesforce, HubSpot, Gong, or Outreach.

Responsibilities

Architect and own GTM systems powering Sales, Marketing, and Customer Success
Maintain high-quality target account and contact data across key industries
Design and build signal-based prospecting workflows that drive email, call, and LinkedIn engagement
Own CRM architecture, pipeline stages, forecasting logic, and reporting integrity
Develop outbound and expansion systems from first principles
Implement AI-native automations and integrations across tools like Clay, Zapier, and CRM platforms (enrichment, routing, scoring, follow-up)
Ensure clean, trustworthy data through strong QA, validation, and governance
Partner with GTM leadership to define operating rhythms (pipeline reviews, account planning, forecasting)
Build dashboards and reporting layers that provide clear visibility into funnel performance, revenue drivers, and customer engagement
Translate product and operational signals into structured scoring, expansion, and proactive outreach workflows
Identify and eliminate bottlenecks in enterprise deal cycles in close partnership with Sales
Continuously test, refine, and optimize GTM systems, workflows, and experiments to improve pipeline velocity and conversion
Recommend and implement new tools, platforms, and processes to increase throughput and efficiency
Ensure everything built performs in real-world operating environments and drives measurable revenue impact