GTM Engineer

Attentive
United States$140k – $180kPosted 24 March 2026

Tech Stack

Job Description

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index ! About the Role As a GTM Engineer at Attentive, you will serve as an embedded technical builder within Revenue Operations, reporting to the VP of Revenue Operations. This role is designed to increase the speed, adaptability, and leverage of our go-to-market organization by building smart, lightweight solutions on top of our core systems landscape. You will partner closely with our RevTech team, which owns the foundational systems roadmap and long-term architecture, while operating in a distinct lane: moving quickly to solve high-value GTM problems that do not need to wait for the core roadmap. This includes designing and deploying fast, thoughtful solutions across workflow automation, data enrichment, AI-enabled processes, and bespoke internal tooling that reduce manual work and improve the quality of our go-to-market signals. This role is ideal for someone who is highly technical, pragmatic, and deeply motivated by shipping real solutions quickly. You should be excited by ambiguity, energized by business problems, and constantly looking for ways to make our teams faster, smarter, and more effective. What You’ll Accomplish Build fast, high-impact GTM solutions: Design and ship workflows, automations, and internal tools that improve how our Sales and Customer Success teams operate day to day. Reduce manual work across the GTM organization: Eliminate repetitive rep and CSM tasks by automating data capture, field population, handoffs, enrichment, and workflow steps across tools like Salesforce, Gong, and other GTM systems. Increase signal density and data usefulness: Improve the quality of the data we collect and surface by auto-populating the fields that matter most, enriching customer and pipeline data, and making key signals easier for teams to act on. Identify and deploy AI-enabled workflows: Proactively explore how AI, agents, and automation platforms can improve go-to-market productivity, reduce operational burden, and create leverage before every underlying system is fully mature. Operate with speed and pragmatism: Build with a clear point of view on where speed matters most versus where durability and enterprise-grade tooling are required. Move quickly on bespoke internal workflows while partnering on more critical, cross-functional processes appropriately. Self-source high-value opportunities: Work directly with frontline teams and leaders across Sales, CS, and RevOps to identify friction, uncover inefficiencies, and generate a pipeline of projects that materially improve how the business runs. Own outcomes, not tickets: Drive work end-to-end from problem identification through implementation, adoption, and iteration—with success measured by business impact, speed, and usability. Your Expertise Strong experience building workflows, aut ... (truncated, view full listing at source)
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