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As Qualia embarks on the next phase of growth, we are seeking a GTM Engineer to build AI-powered systems that scale our go-to-market operations. The GTM Engineer will own end-to-end delivery of automation projects across Sales, Marketing, and Customer Success---transforming how our teams work with data, make decisions, and engage with customers.
Job Responsibility:
Build scalable automation systems---from data enrichment and orchestration to customer intelligence pipelines---that connect customer, product, and engagement data into unified intelligence layers, driving better decisions
Design and implement automated workflows that augment team capabilities across prospecting, customer risk detection, sales coaching, and engagement optimization
Partner with Sales, Marketing, Customer Success, and RevOps teams to translate operational challenges into technical solutions that are both powerful and maintainable
Apply testing and monitoring frameworks that ensure automation works reliably, fails gracefully, and maintains data quality at scale
Serve as a technical expert on responsible automation, educating stakeholders on when automation adds value versus when human judgment is essential
Stay current on emerging GTM automation capabilities, AI tools, and data enrichment technologies to continuously improve what's possible for the organization
Document and share learnings so that successful patterns can be replicated and scaled across other teams and use cases
Collaborate with security and compliance stakeholders to ensure automation systems handle customer and prospect data responsibly
Requirements:
Prior experience implementing AI/ML solutions, particularly conversational AI and MCP integrations, and building AI-powered workflow automations for teams
4+ years of experience in GTM operations, revenue analytics, revenue operations, sales operations, or related technical GTM roles with demonstrated progression in complexity and scope
Proven track record building scalable automation infrastructure that others can maintain
Strong proficiency with Clay or similar data enrichment and orchestration platforms (Apollo, Clearbit, custom pipelines)
Technical foundation in SQL for data analysis and Python for scripting and automation, or demonstrated ability to quickly develop these skills
Experience working with APIs---both directly and through workflow automation platforms like Zapier
Passionate advocate for responsible automation
Strong communication skills with the ability to translate technical concepts for non-technical stakeholders and vice versa
Detail-oriented approach to naming conventions, documentation, and architectural decisions
Familiarity with Salesforce data model and integration patterns (lookups, upserts, SOQL queries, deduplication strategies)
Nice to have:
Exposure to Gong, Zendesk, Totango, or similar GTM platforms and their API capabilities