Operations Manager, AI Enablement
$130,000–$160,000 year
RemoteUnited States or New Zealand
Job Summary
Manage day-to-day operations for AI tools and supporting systems, tracking KPIs, monitoring budgets, and maintaining integrations across Salesforce, HubSpot, and Jira. Identify practical AI use cases, validate outputs, and embed reliable automation into workflows to reduce manual effort and improve consistency. Support the rollout of generative AI applications by providing training, documenting processes, and ensuring data accuracy for live models. Partner with Sales, Customer Success, and Product to coordinate operational projects, mentor junior members, and prepare analytics for leadership. Maintain responsible-use controls and data privacy standards while delivering quick wins and establishing monitoring routines for solutions in use.
Required Qualifications
- Bachelor's degree in Business, Operations Management, Analytics or a related field (or equivalent practical experience)
- 5+ years of experience in software engineering, business systems, data engineering, business operations, or a related technical field, including experience delivering production automation or AI solutions
- At least 1–2 years of hands-on experience designing, building, or deploying generative AI applications using LLMs, agent frameworks, or similar technologies
- Strong working proficiency in Python, SQL (Microsoft SQL Server and/or PostgreSQL), and SOQL
- Hands-on experience getting AI or automation use cases into real-world use, with examples of the value they delivered
- Experience integrating AI solutions into Salesforce using APIs, Flows, Apex, platform events, and standard automation tools while respecting Salesforce security and permission models
- Experience with OpenAI, Anthropic, Google Gemini, or Azure AI services
- Well organized and dependable, with the ability to manage multiple priorities and bring order to ambiguity
- Strong analytical and problem-solving skills, with a genuine interest in finding patterns in data
- Excellent interpersonal and written communication, with the ability to build strong, supportive working relationships
- Able to communicate complex technical concepts clearly to both technical and nontechnical audiences
- High level of integrity, attention to detail and accuracy in work
- Experience with process improvement and project coordination
- A solid working understanding of data, metadata, and data auditing, cleansing, visualization and manipulation
- Comfortable working in a fast-moving, growing environment with a bias toward practical, measurable results
- Must be able to lift 50 lbs
Desired Qualifications
- Experience with enterprise security, governance, privacy, compliance and responsible AI practices
- Experience with modern agent frameworks, orchestration platforms, or AI development SDKs is highly desirable
- AWS, Azure, or GCP experience
- Nice to have: Docker and deployment workflows
- Git and software engineering best practices
- API design and integration
- Data engineering, ETL/ELT, API integrations, and workflow automation
- CRM data modeling and governance
- Knowledge of Salesforce Flows, Apex and Lightning Web Components
- Comfortable working with structured business data using SQL, spreadsheets, or BI tools
- Experience with CRM and project tooling - Salesforce and/or HubSpot, and Jira/Confluence
- Certifications such as Six Sigma, Lean, or an AI/automation credential are a plus
- Previous experience in SaaS, Customer Success, or a technology environment
- Experience with vector databases or semantic search technologies
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.