GTM Engineer

🏢 Alloy · all 2 jobs
📍 Remote · United States
💰 $170,000 - $190,000 / year
📅 Posted Sep 9, 2026 · via RemoteIO
🏷 Data Warehousing, Revenue Operations, Salesloft, Tableau, SaaS
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Alloy is where you belong!

Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can grow without limits. More than 900 of the world's leading financial institutions and fintechs trust Alloy for smarter risk management that drives growth.

Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces , Forbes America’s Best Startup Employers , Best Fintech to Work for by American Banker , year after year.

Check out our investors and read more about us here .

About the team

The GTM Engineer is the technical builder behind Alloy's Go-to-Market ecosystem — designing and shipping the integrations, automations, and data architecture that power the full GTM lifecycle, from marketing to sales to customer success.

You'll bridge business strategy and system execution, translating GTM needs into scalable technical solutions. You'll partner closely with RevOps and cross-functional GTM teams to make sure what you build is both strategically aligned and technically sound.

Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week.

What you'll be doing

As a GTM Engineer, you will design, build, and optimize the integrations and automations that power Alloy's revenue organization. Within 3–6 months, you'll own critical pieces of our GTM technology architecture and be a key technical partner for RevOps and GTM leadership.

System Architecture & Integration

- Design and build end-to-end GTM technology architecture for scalability and interoperability.

- Build and maintain integrations using APIs and iPaaS tools such as n8n, Tray.io, or Zapier.

- Ensure seamless data synchronization between CRM, marketing automation platforms, and customer success tools.

- Continuously improve the architecture across CRM, Sales Engagement, and related GTM systems.

Automation & Workflow Efficiency

- Identify and build automations that improve GTM team productivity and data hygiene.

- Develop scripts in SQL, Python, and JavaScript to support automation and data manipulation at scale.

- Translate business requirements from Sales, Marketing, and Customer Success into technical solutions.

- Diagnose and resolve complex integration and data-flow issues as they arise, and document root causes to prevent recurrence.

Data Quality & Pipeline Management

- Build and maintain data pipelines across GTM systems for consistency, timeliness, and accuracy.

- Partner with RevOps and Data Engineering to support unified reporting and BI dashboards.

- Proactively monitor GTM system performance, addressing data sync or uptime issues before they impact the business.

Cross-Functional Collaboration & Vendor Management

- Partner closely with RevOps, GTM leadership, and IT to ensure all technical initiatives support strategic business goals.

- Evaluate new GTM technologies and recommend additions to the tech stack.

- Stay close to platform vendor roadmaps to inform build/buy decisions and flag opportunities to the team.

Who we’re looking for

- 8+ years of experience in GTM Engineering, Revenue Operations, or a similar technical role within a SaaS environment.

- Hands-on experience building and maintaining CRM integrations (Salesforce preferred).

- Proficiency with iPaaS platforms such as n8n, Tray.io, Workato, or Zapier.

- Working knowledge of SQL and at least one scripting language (Python or JavaScript) for automation and data manipulation.

- Strong understanding of data pipeline management, data hygiene practices, and GTM data architecture.

- Experience with data warehousing concepts and BI tools (e.g., Looker, Tableau, dbt).

- Familiarity with sales

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