Operations Manager, AI Enablement

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

📋 Description

• Oversee daily operations in your designated area, assisting the Director of Operations to ensure workflows, resources, and projects remain aligned with team objectives.

• Monitor and report on operational KPIs relative to the targets established with the Director, identifying performance gaps and facilitating corrective measures.

• Assist in managing operational budgets and tools, keeping track of expenditures while ensuring optimal value from systems and vendors.

• Aid in the implementation and adoption of AI and automation tools throughout the team, offering guides, training, and hands-on assistance to enable confident usage.

• Identify and prioritize practical AI use cases linked to clear outcomes, aimed at reducing manual work, enhancing consistency, and saving time or resources.

• Transition promising experiments into reliable and repeatable use cases by gathering requirements, validating outputs, supporting deployment, and continually updating and enhancing the tools post-launch.

• Deliver early, actionable “quick wins” in the initial months, followed by establishing straightforward routines for monitoring and enhancing the solutions in place.

• Ensure that live AI tools are consistently updated with accurate, current information to maintain their reliability and trustworthiness among users.

• Analyze and enhance core operational processes, identifying bottlenecks where automation or AI could streamline manual tasks and sharing recommendations with the Director.

• Contribute to the maintenance and improvement of core systems (e.g., Salesforce/HubSpot CRM, Jira), and identify integration gaps or usability challenges within the technology stack.

• Document processes, tools, and standard operating procedures to ensure knowledge is captured, repeatable, and easily followed by the team.

• Collect data requirements from teams across the organization and convert them into clear reports, dashboards, and actionable insights.

• Conduct regular audits of key business data to guarantee accuracy and collaborate with teams to identify and resolve discrepancies.

• Assist in preparing monthly and quarterly analytics for the Director and senior leadership, clearly explaining findings to both technical and non-technical stakeholders.

• Collaborate closely with the Director of Operations and partner with Sales, Customer Success, Finance, and Product to ensure coordinated efforts across teams.

• Introduce structure, timelines, and follow-through to operational projects to maintain their trajectory.

• Mentor and support junior team members while providing documentation, guidance, and training for internal users.

• Uphold and aid in maintaining responsible use, data privacy, and quality controls for AI and automation, ensuring the tools remain safe and reliable.

• Ensure compliance with relevant data privacy regulations and collaborate with the Tech team on security as necessary.

• Identify operational risks early and perform additional duties as assigned to support projects and departmental needs.

⛳️ Requirements

• Bachelor's degree in Business, Operations Management, Analytics, or a related field (or equivalent practical experience).

• Over 5 years of experience in software engineering, business systems, data engineering, business operations, or a related technical discipline, including delivering production automation or AI solutions.

• A minimum of 1–2 years of hands-on experience in designing, building, or deploying generative AI applications using LLMs, agent frameworks, or comparable technologies.

• **Critical Competencies:**

• ***Agentic Strategy & Delivery***

• Collaborate with business stakeholders to identify, prioritize, prototype, and implement high-impact AI opportunities across the organization.

• Assist in defining and executing the company's AI strategy and implementation roadmap.

• Lead AI transformation initiatives.

• Promote the adoption of AI solutions through training, documentation, and ongoing improvements based on user feedback.

• ***AI Engineering & Operations***

• Experience in deploying production AI applications.

• Proficient in prompt engineering and agent orchestration.

• Design evaluation frameworks and benchmarks for AI systems, including automated and human-in-the-loop testing.

• Conduct model evaluation and performance monitoring.

• Ensure AI observability and quality assurance.

• Manage hallucination risk and response accuracy.

• Expertise in prompt optimization, model fine-tuning, and ensuring data quality and governance for AI systems, including auditing, cleansing, and structuring source data from databases before it inputs into an LLM or agent.

• Experience in designing context-aware AI systems utilizing retrieval, structured business data, memory, and tool access.

• Familiarity with data validation frameworks or QA checkpoints to catch erroneous or incomplete data before it enters a production AI workflow.

• Experience balancing model capability, latency, and cost for production AI applications.

• Evaluate emerging AI models, tools, and techniques, recommending pragmatic adoption for measurable business value.

• ***Enterprise Integration***

• Strong proficiency in Python, SQL (Microsoft SQL Server and/or PostgreSQL), and SOQL.

• Practical experience in realizing AI or automation use cases in real-world scenarios, showcasing the value delivered.

• Design AI workflows that correctly involve human review and approval for sensitive business processes.

• Experience integrating AI solutions into Salesforce using APIs, Flows, Apex, platform events, and standard automation tools while adhering to Salesforce security and permission models.

• Experience with integrating AI systems with enterprise applications, databases, APIs, and business workflows.

• Familiarity with OpenAI, Anthropic, Google Gemini, or Azure AI services.

• ***Professional Skills***

• Highly organized and reliable, capable of managing multiple priorities and bringing order to ambiguity.

• Strong analytical and problem-solving abilities, with a genuine interest in identifying patterns within data.

• Exceptional interpersonal and written communication skills, with the capacity to foster strong, supportive working relationships.

• Ability to convey complex technical concepts clearly to both technical and non-technical audiences.

• High integrity, attention to detail, and accuracy in work.

• Experience in process improvement and project coordination.

• A solid understanding of data, metadata, and data auditing, cleansing, visualization, and manipulation.

• Comfortable working in a fast-paced, growing environment with a focus on practical, measurable outcomes.

• ***Preferred and Differentiated Competencies:***

• Experience with enterprise security, governance, privacy, compliance, and responsible AI practices.

• Familiarity with modern agent frameworks, orchestration platforms, or AI development SDKs is highly advantageous.

• Experience with AWS, Azure, or GCP.

• Additional experience with Docker and deployment workflows is a plus.

• Knowledge of Git and best practices in software engineering.

• Proficiency in API design and integration.

• Experience in data engineering, ETL/ELT, API integrations, and workflow automation.

• Familiarity with CRM data modeling and governance.

• Knowledge of Salesforce Flows, Apex, and Lightning Web Components.

• Comfort working with structured business data using SQL, spreadsheets, or BI tools.

• Experience with CRM and project management tools - Salesforce and/or HubSpot, and Jira/Confluence.

• Certifications such as Six Sigma, Lean, or any AI/automation credentials are advantageous.

• Previous experience in SaaS, Customer Success, or a technology-driven environment.

• Experience with vector databases or semantic search technologies.

🏝️ Benefits

• **Compensation**: $130K - $160K USD, depending on experience and location.

• **Unlimited PTO:** Take your paid time off whenever you need it.

• **Subsidized Healthcare**: A range of subsidized medical plans tailored to suit your needs.

• **Retirement Support:** 401(k) matching to assist you in investing for your future.

• **Family Friendly:** Paid parental leave and caregiver assistance.

• **Growth & Development:** Professional development plans and resources to foster continuous learning.