Key Responsibilities:

• Build and maintain automated workflows using tools like n8n, Clay, and Claude Code, with a focus on shipping reliable automations that sellers can trust
• Contribute to data models, ETL pipelines, and enrichment workflows that support outbound targeting, account scoring, and growth initiatives
• Help support the integration layer across Salesforce, Outreach, Gong, Snowflake, and Clay — the data infrastructure that GTM agents and automated workflows depend on for reliable signal ingestion, enrichment, and execution
• Partner with Sales, RevOps, Enterprise AI Engineering, Marketing, and Customer Success on scoped requests, translating clear requirements into working solutions
• Spot manual or repetitive work inside existing processes and propose simpler, more automated approaches
• Develop components of AI-powered agents and workflows that automate research, prospecting, and operational tasks, with senior engineers guiding architecture
• Grow into a technical contributor the GTM organization relies on, building the range to eventually own larger problems end-to-end

Required Qualifications:

• 5+ years of experience in GTM engineering, revenue operations, data analysis, marketing operations, sales operations, or a similar technical role within a SaaS or subscription-based business
• Proficiency in Python and SQL
• Experience building automated workflows using tools like Zapier, n8n, or similar platforms
• Working knowledge of data modeling and ETL/ELT concepts; familiarity with Snowflake, Power BI, or Databricks is a plus
• Working knowledge of Salesforce, including data concepts and supporting integrations across GTM systems
• Understanding of GTM business processes, including pipeline creation, seller execution, and marketing-to-sales handoffs
• Ability to partner cross-functionally on defined problems and deliver solutions 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, 6Sense) and revenue intelligence tools (Gong)
• Bachelor's degree in a technical field, or equivalent combination of education and experience
   

Location:

• Remote - Ontario, Canada or US
   

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 – $130,000 CAD OR $97,380 - 123,00K USD + Equity. 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.
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