Description: SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain! Position Summary: As a Senior GTM Engineer, you will help design, build, and optimize the systems and workflows that power our go-to-market engine. This is a hands-on technical role embedded in the GTM organization. You’ll work at the intersection of data solutions, the revenue office, and operations to make sellers more productive and campaigns more effective. This role reports to the Senior Director of GTM Engineering & AI Enablement. It’s ideal for someone who thinks in systems, moves fast, and cares as much about business outcomes as clean code. Key Responsibilities:  - Design and maintain automated workflows using tools like n8n, Clay, and Claude Code to reduce manual work and accelerate seller execution - Build data models, ETL pipelines, and enrichment workflows that support outbound targeting, account scoring, and operational reporting - Support integrations between core platforms (Salesforce, Outreach, Gong, Snowflake, Clay) to ensure clean data flow and system reliability - Partner with Sales, RevOps, Marketing, and Customer Success to translate business requirements into scalable technical solutions - Audit and simplify existing processes. Find where teams are doing manual, repetitive work and engineer it in a more effective way - Develop AI-powered agents and workflows that automate research, prospecting, and operational tasks across the revenue org - Serve as a technical thought partner to GTM leadership on how we operationalize strategy through tooling and automation Required Qualifications:  - 3+ years of experience in GTM engineering, revenue operations, marketing operations, or a similar technical role within a SaaS or subscription-based business - Highly proficient in Python and SQL. These are daily tools - Experience building automated workflows using tools like Zapier, n8n or similar platforms - Experience with data modeling and ETL pipelines. Knowledge of Power BI, Snowflake, or Databricks is a plus - Working knowledge of Salesforce including configuration, data management, and integrations - Strong understanding of GTM business processes and how pipeline gets built, sellers work accounts, and marketing-to-sales handoffs function - Track record of cross-functional partnership with Sales, Marketing, and CS to build systems that drive measurable outcomes Preferred Experience - Experience with data enrichment platforms like Clay or ZoomInfo - Familiarity with AI/LLM tooling (Claude, OpenAI, AI agents) and how to apply them to GTM workflows - Exposure to sales engagement platforms (Outreach, Salesloft) and revenue intelligence tools (Gong) - Bachelor’s degree in a relevant field, or equivalent combination of education and experience Location:  - Remote – United States or Ontario, Canada What We Offer:   At SPS Commerce, we are committed to ensuring that each employee's compensation reflects their unique experiences, performance, and skills in their role. The salary range for this role considers several factors, including education, relevant skills, work history, certifications, location, and more. The annual salary range for this role is $100,300 - $150,500 CAD. Final compensation will be determined based on the factors outlined above and may fall anywhere within the applicable range. SPS Commerce offers a comprehensive benefits package designed to support employees’ health, well-being, and financial security. Benefits are country-specific and aligned with local laws and market practices. Commitment to our Employees: At SPS we power connections that drive the world of commerce forward, and our success depends on making strong decisions, fostering innovation, delivering unparalleled customer solutions, and driving outstanding business performance. We achieve this by creating an environment where every employee feels a true sense of belonging. We embrace diversity, equity, and inclusion, ensuring everyone feels accepted, valued, and empowered to make a meaningful impact. We are committed to affirmative action and equal opportunity in all aspects of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

• Design, build and maintain complex backend systems • Collaborate with other engineers, PMs and non-technical stakeholders to develop and ship features • Design, build, and maintain our API’s • Find and solve performance issues • Participate in code reviews • Communicate best practices to the team • Mentor junior engineers

• As a backend software engineer, you will contribute to projects that are critical to Airbnb community support: • Automation Platform, a large-scale, widely adopted conversational AI platform at Airbnb, You will also collaborate with different AI & ML engineering teams, cross-functional business partners and contribute directly to the success of many AI driven products for our community. • Automate provisioning for our internal human agents and AI agents. • Contribute to Airbnb wide initiatives (e.g. Services, Experiences, multi-region resiliency) by aligning team capabilities with shared goals and ensuring smooth integration across dependencies. • Partner closely with Product, Data, Science, Operations, and adjacent engineering teams to drive success metrics (e.g., NPS, CSAT, time-to-resolution)

• Build Automation That Matters: Develop software that automates legal document workflows end-to-end – from retrieval across dozens of court systems to secure storage – using Java, PostgreSQL, and Micronaut. Every pipeline you build saves legal teams hours of manual work. • Ship with AI as Your Co-Pilot: Use AI-assisted development tools (Claude Code) daily to write, debug, and refactor code. You’ll learn to craft effective prompts, review AI-generated code critically, and develop an intuition for when AI accelerates your work versus when you need to go deeper yourself. • Solve Real Puzzles: Legal document sources are messy, inconsistent, and constantly changing. You’ll tackle challenges like building scrapers that handle unpredictable page structures, designing retry logic for unreliable third-party systems, and ensuring document integrity across formats. • Grow Through Code Review: Participate in thorough code reviews – both giving and receiving feedback – and contribute to our CI/CD pipelines. You’ll learn our codebase with support from senior engineers and develop strong software craftsmanship habits early in your career. • Collaborate in a Small, Fast Team: Work in an agile environment where your contributions are visible and your voice matters. Participate in sprint planning, standups, and retrospectives with a team that ships quickly and iterates constantly. • Own What You Build: Monitor application performance, help triage production issues, and deploy fixes. You’ll gain real exposure to what it means to keep a SaaS platform running reliably for customers who depend on it.