GTM AI Engineer
$105,000–$130,000 year
HybridRaleigh, North Carolina, United States
Job Summary
Own AI solutions end-to-end, from problem definition and prompt design through production deployment, monitoring, and iteration. Build and manage GTM workflow automations that reduce manual work across Sales, Marketing, and Customer Engineering systems, including Slackbots and integrations. Partner directly with stakeholders to surface high-value problems, validate solutions, and drive adoption while setting honest expectations about AI capabilities. Develop prompt management practices that treat prompts as production code, ensuring outputs are reliable and auditable. Work with Data Platform and Systems teams to identify tooling gaps and contribute actionable requirements. Share reusable AI workflow patterns and tool findings to extend impact beyond individual projects. This role is based in Raleigh, NC, following a hybrid model of three in-office days per week.
Required Qualifications
- 3–5 years of experience in software engineering, solutions engineering, or applied AI with a strong track record of shipping production systems
- Hands-on experience building LLM-powered applications, including prompt engineering, output validation, and iterative improvement in a live environment
- Strong judgment about when AI is the right tool — and the willingness to push back clearly when it isn't
- Ability to work directly with non-technical business stakeholders to define problems, validate solutions, and drive adoption without hand-holding
- Comfort working within a platform built by others and contributing clear, actionable requirements back to improve it
- A builder's posture: you move without being told what to do next, prioritize ruthlessly, and design solutions others can extend and build on
- This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week
Desired Qualifications
- Familiarity with GTM systems and workflows; Salesforce experience is a strong plus
- Experience building Slackbots, workflow automations, or other GTM-integrated tooling
- Prior experience contributing to a shared prompt library or AI pattern documentation
- Comfort quantifying the business impact of AI solutions — you can tie your work to efficiency or revenue metrics, not just usage
- Experience working on a small, high-ownership team where scope is broad and expectations are high
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