Principal GTM Engineer
TLDR
Design and build AI-native revenue systems to enhance operational efficiency and redefine GTM workflows across multiple teams and technologies.
Build and evolve AI-native GTM systems that improve how revenue teams operate.
Partner with GTM stakeholders to redesign workflows across sales, marketing, customer success, forecasting, renewals, expansion, and revenue operations.
Build internal applications, AI agents, copilots, and automations that improve execution and reduce operational friction.
Develop AI-powered workflows for areas such as account research, sales prep, proposal and RFP support, pipeline inspection, CRM hygiene, forecasting, and customer expansion signals.
Integrate systems including Salesforce, Gong, HubSpot, Slack, Google Workspace, billing platforms, and marketing automation tools.
Design scalable data flows across CRM, product, customer, financial, and operational systems.
Build reusable patterns for LLM-powered applications including retrieval, tool use, evaluations, permissions, monitoring, and human review workflows.
Use AI-native development tools such as Claude Code, Cursor, and Codex to accelerate engineering velocity.
Contribute technical input into build-vs-buy decisions with a bias toward reducing SaaS sprawl while maintaining speed and flexibility.
Measure business impact across productivity, conversion, forecast accuracy, retention, and customer experience.
Help establish technical standards and best practices for AI-native GTM systems.
Senior-level individual contributor experience in RevOps technology, GTM systems, internal platforms, AI systems, or software engineering.
Deep hands-on experience with CRM architecture, forecasting, routing, pipeline management, customer lifecycle workflows, renewals, expansion, and revenue reporting.
Strong software engineering background with experience building production-grade applications, workflow automation, integrations, or data products.
Experience with APIs, databases, integrations, authentication, permissions, observability, and cloud infrastructure.
Proficiency with modern engineering stacks such as Python, TypeScript, React, Node.js, SQL, and cloud platforms.
Experience building with LLMs and AI systems, including prompt workflows, retrieval, tool calling, structured outputs, evaluations, and agent orchestration.
Strong product and systems judgment with the ability to simplify ambiguous business problems into practical solutions.
Excellent communication and collaboration skills with the ability to work effectively across technical and business teams.
A strong point of view on how AI will reshape RevOps, GTM systems, and revenue productivity.
Motivation to remain deeply hands-on as an individual contributor.
Benefits
Equity Compensation
Stock options
Health Insurance
100% covered Medical/Dental/Vision for employee, competitive dependent coverage
Employee Counseling Services
24/7 Counseling Services offered to Employees
Paid Parental Leave
Paid Maternity/Paternity leave
Paid Time Off
Generous PTO policy
DISQO builds a trusted ad measurement platform that connects consumer sentiments with valuable brands, driving brand growth. Our platform serves major brands, agencies, and media companies by providing AI-driven insights into advertising performance across all platforms.
- Founded
- Founded 2015
- Employees
- 51-200 employees
- Industry
- Professional Services