AI Operations Engineer

• Build and maintain AI assistants or guardrails that review internal and external communications for alignment with approved messaging and brand standards.

• Develop and manage RAG systems so Sales, Support, and internal teams receive answers based only on current, approved documentation.

• Create automated workflows that transform product updates into tailored talk tracks, Slack updates, enablement content, and email templates for different departments.

• Build internal AI agents that coach employees on processes such as deal desk approvals, messaging guidance, and internal operations.

• Embed AI functionality into tools such as Slack, Salesforce, and Guru so support is available directly in the flow of work.

• Conduct regular audits of AI outputs to prevent messaging drift and ensure systems are using the most recent business strategy and approved content.

• Maintain a centralized, version-controlled library of tested prompts and workflows that drive accurate, repeatable outputs.

• Track usage analytics and adoption trends to identify enablement gaps, workflow inefficiencies, or areas where messaging is not sticking.

• Ensure all internal data used in AI systems remains secure and aligned with company privacy and compliance standards.

• Strong proficiency in Python and experience connecting business systems through APIs.

• Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, or similar tools.

• Experience working with vector databases such as Pinecone, Weaviate, or related technologies.

• Experience with automation platforms such as n8n, Zapier, or Make to connect AI workflows across business systems.

• Ability to programmatically enforce structured outputs such as JSON, templates, or workflow logic to ensure consistency.

• Strong systems thinking with the ability to build scalable solutions that solve problems across teams.

• Excellent communication skills and the ability to work cross-functionally with GTM, Operations, Product, and Leadership teams.
  

• Experience supporting go-to-market teams such as Sales, Customer Success, or Marketing.

• Experience integrating AI tools into CRM or enablement platforms such as Salesforce, HubSpot, or Guru.

• Familiarity with prompt version control, model evaluation, and internal AI governance best practices.

• Experience in a high-growth startup environment where speed, ownership, and adaptability are essential.
  

The expectations above are meant to represent the ideal candidate, but if you don’t meet all of them and think you’d be a great fit for this role, please apply. This position is open to candidates who are authorized to work in the posted location. Immigration sponsorship is not available at this time.