[Hiring] AI Platform Engineer @Granicus

Role Description

The RevOps AI Engineer designs, builds, evaluates, and operates AI-powered systems that support revenue workflows across Sales, Marketing, Customer Success, Support, and GTM Operations. This role is responsible for turning AI designs and requirements into production-grade, measurable, and reliable AI solutions that deliver demonstrable business impact.

This role sits at the intersection of AI engineering, Revenue Operations, and systems delivery. The RevOps AI Engineer partners closely with RevOps AI Product Management, AI Solutions Architects, and GTM stakeholders to implement AI agents, workflows, and automation that are grounded in trusted data, governed content pipelines, rigorous evaluation frameworks, and continuous post-launch measurement.

This role is ideal for an engineer who values reliability, quality, and outcomes over experimentation, and who can operate AI systems as durable operational capabilities embedded in core revenue workflows.

Qualifications

• Strong software, data, or automation engineering background with experience operating production systems.
• Hands-on experience building and operating LLM-based workflows and agents.
• Demonstrated experience designing and operating LLM evaluation frameworks.
• Familiarity with offline evaluations using test datasets and regression frameworks.
• Familiarity with online evaluations using user feedback, telemetry, and behavioral signals.
• Experience reducing hallucinations in production AI systems using grounding, validation, and guardrails.
• Comfort defining metrics and success measures, not just implementing features.
• Strong understanding of retrieval-augmented generation (RAG), prompt design, and context engineering.
• Familiarity with RevOps systems such as CRM, GTM tooling, and workflow platforms.
• Strong analytical mindset with the ability to debug complex AI system behavior.
• Clear written and verbal communication skills across technical and non-technical audiences.

Requirements

• Experience in AI engineering, applied machine learning, automation engineering, or related roles.
• Experience deploying AI or automation systems into production environments.
• Experience working with cross-functional product, operations, and systems teams.
• Experience supporting AI quality, reliability, and evaluation in live systems.

Benefits

• Remote-first company with a globally distributed workforce.
• Employee Resource Groups to encourage diverse voices.
• Coffee with Mark sessions for interaction with the CEO on important issues.
• Microsoft Teams communities focused on wellness, art, family, and more.
• Special guest discussions on issues impacting the employee population.