Software Engineer - GTM Engineering

About Engine

Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.

That work has earned Engine recognition as TravelTech's Reservation Platform of the Year (2026), a spot on Inc.'s Power Partners list (2026), and one of Built In's Best Places to Work (2020–2026).

We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.

Come outpace the ordinary and build the future of travel with us.

As a GTM Engineer at Engine, you’ll help build and support internal AI-powered tools that make our go-to-market teams faster and more effective. Working closely with senior engineers, Sales, Customer Success, and Revenue Operations, you’ll contribute directly to features that streamline pipeline generation, support deal execution, and improve how we serve customers. This role is a great fit for early-career builders who are excited about AI, eager to learn revenue operations, and looking to turn practical business needs into working tools.

What you'll do:

• Assist in developing and maintaining internal AI tools and automations that support sales, prospecting, and customer retention workflows
• Implement defined features and improvements across the GTM tech stack under the guidance of senior team members
• Collaborate with Sales, CS, and RevOps peers to understand pain points, gather requirements, and troubleshoot workflow issues
• Help automate routine tasks across the funnel, such as lead routing, contact enrichment, and pipeline updates
• Write clean, well-tested, and well-documented code that team members can rely on and easily adopt
• Monitor existing tools, fix bugs, and assist in evaluating new AI platforms, APIs, and low-code integrations

What you'll bring:

• 1–3 years of hands-on experience in software development, technical operations, or solutions engineering (experience building internal tools or web apps is a plus)
• Foundational understanding of sales and marketing funnels (leads, pipeline stages, renewals, and common revenue metrics)
• Working knowledge or hands-on experience with enrichment tools like Clay, Zapier, or Make
• Strong problem-solving skills and a collaborative mindset, with clear communication when partnering with non-technical stakeholders
• A bias for action, intellectual curiosity, and an eagerness to learn how modern AI tooling integrates with enterprise systems
• Comfort working with APIs, scripting languages (e.g., Python, TypeScript/JavaScript), and basic database management
• Bonus: exposure to CRM and revenue platforms such as Salesforce, HubSpot, Gong, Workato, or n8n

Compensation
Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.

The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:

• Compensation: Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions.
• Benefits: Check out our full list at engine.com/culture
• Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.

Perks and benefits may vary based on employment type, location, and more