GTM AI Engineer

Pendo•Raleigh, NC

1d•Hybrid

About The Position

The Applied AI team at Pendo turns AI infrastructure into real business outcomes across Sales, Marketing, and Customer Engineering. AI is integral to scaling GTM capability across the company, with a focus on building AI that makes GTM teams measurably faster and more effective. Success is measured by actual usage and value derived by these teams. As an Applied AI Engineer, you will own the full lifecycle of AI-powered solutions, from problem definition and prompt design to production deployment and ongoing iteration. You will collaborate directly with GTM stakeholders to identify high-value problems, manage expectations regarding AI capabilities, and deliver impactful solutions. The ideal candidate possesses a strong engineering instinct, a deep curiosity about business operations, and the judgment to determine when AI is the appropriate tool. This role is based in Raleigh, NC, and follows Pendo's hybrid model, requiring 3 days per week in the office.

Requirements

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.

Nice To Haves

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.

Responsibilities

Own AI solutions end-to-end: problem definition, prompt design, 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 other integrations.
Partner directly with GTM stakeholders to surface high-value problems, validate solutions, drive adoption, and set honest expectations about AI capabilities and limitations.
Develop and maintain prompt management practices that make AI outputs reliable, auditable, and improvable over time.
Work with the Data Platform and Systems teams to identify foundational tooling gaps and contribute clear, actionable requirements.
Share reusable AI workflow patterns and tool findings with the broader team.