AI Ops Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the leading AI expert for Go-To-Market (GTM) across Sales, Marketing, Customer Success, and Revenue Operations.

• Create and uphold a GTM-centric AI roadmap that aligns with the overall AI Operations strategy.

• Engage actively with customers and the sales process to ensure AI priorities reflect market realities.

• Contribute to Agiloft's external narrative regarding AI and establish thought leadership.

• Assess the impact of initiatives through metrics such as adoption rates, productivity, pipeline influence, customer outcomes, and revenue.

• Design, define, and construct AI copilots, agents, retrieval-augmented workflows, and human-in-the-loop automations.

• Oversee the complete delivery of large-scale GTM AI solutions from initial concept to full production.

• Collaborate with GTM AI Builders, AI Operations, and technical stakeholders.

• Mentor and assist the GTM AI Builders community.

• Monitor the performance of deployed tools and automations, making adjustments based on adoption data, feedback, and business requirements.

• Maintain standards for testing, documentation, and handoffs.

• Evaluate AI tools relevant to GTM and provide recommendations to AI Operations.

• Continuously enhance AI engineering skills and remain updated on agentic workflows, LLM integrations, automation platforms, and AI-assisted coding.

• Operate within the AI Builders Program at the L4 AI Ops level, adhering to AI governance policies.

• Communicate build status, opportunities, challenges, and priorities to the VP of AI Operations and GTM leadership.

• Coordinate with the Principal Data and Integrations Architect on data pipelines, Snowflake access, or warehouse connectivity.

• Guide GTM teams in responsible AI adoption and enhance organizational AI fluency.

• Perform additional duties as assigned.

⛳️ Requirements

• A Bachelor's degree in Business, Marketing, Communications, Information Systems, a related field, or equivalent practical experience.

• Experience in a Go-To-Market, revenue operations, or customer-facing role within a B2B SaaS company.

• Familiarity with the entire revenue cycle, from pipeline management to renewal.

• Proficiency with CRM, marketing automation, and customer success platforms like Salesforce, HubSpot, Gainsight, or Outreach.

• 1 to 3 years of direct experience in optimizing GTM workflows through AI.

• Proven results in sales, marketing, customer success, or revenue operations.

• Basic Python scripting skills sufficient to read, modify, and execute automation scripts.

• A strong desire and commitment to improve scripting, AI engineering, and architectural proficiency.

• Foundational understanding of RAG, embeddings, prompt engineering, agentic workflows, and LLM-powered tools.

• Technical capability to function as an L4 AI Builder in conjunction with AI Operations.

• Familiarity with AI workflow orchestration platforms such as n8n, Tines, LangChain, or similar tools.

• Knowledge of connecting AI tools to GTM systems of record.

• Experience with AI-assisted coding tools like Claude Code or OpenAI Codex.

• Strong customer focus and experience in engaging with customers and understanding their buying journey.

• Ability to strategically partner with senior GTM leaders and translate AI capabilities into tangible business outcomes.

• A genuine enthusiasm for practical AI applications in revenue contexts and a commitment to self-directed continuous learning.

• Experience in the SaaS industry is required.

🏝️ Benefits

• Commitment to an inclusive workplace and equal-opportunity employment.

• Employee Resource Groups (ERGs) available.

• Promotion of a healthy work/life balance.

• Floating holidays offered.

• Quarterly wellness day with no questions asked.

• Accommodations during the recruiting process.