Accountabilities:

The AI Operations Lead will be responsible for identifying, designing, implementing, and scaling AI-driven workflows that improve efficiency and business outcomes. This role requires close collaboration with teams across product, engineering, finance, operations, and go-to-market functions to understand existing processes and introduce practical AI solutions.

• Partner with teams across the organization to analyze workflows, identify inefficiencies, and prioritize high-value AI opportunities.
• Design, build, and deploy reusable AI skills, agents, and automation workflows that drive measurable improvements.
• Redesign processes around AI capabilities rather than simply adding AI tools to existing workflows.
• Develop enablement strategies and support internal AI champions to maintain and expand successful solutions.
• Create reusable frameworks, templates, documentation, and best practices that allow AI adoption to scale.
• Collaborate with security and compliance stakeholders to ensure AI workflows follow data-handling and governance standards.
• Track adoption metrics, productivity improvements, and business impact to determine which initiatives should scale or be retired.
• Operate as a strategic partner across departments, helping teams transition from AI experimentation to sustainable implementation.

Requirements:

The ideal candidate brings a strong background in operational improvement, workflow transformation, and AI-enabled solutions, with the ability to collaborate across diverse teams and translate business challenges into scalable systems.

• 5–8 years of experience identifying operational challenges and delivering technology-driven solutions, including automation, AI workflows, or internal tools.
• Strong understanding of workflow and process design, with the ability to analyze complex operations and redesign them for improved efficiency.
• Hands-on experience building or deploying AI workflows, agents, automation solutions, or comparable AI-powered tools.
• Ability to work effectively with engineering teams while also engaging non-technical stakeholders.
• Strong communication and relationship-building skills, with the ability to influence teams and encourage adoption of new technologies.
• Experience creating scalable systems, frameworks, enablement programs, or operational playbooks.
• Comfortable working in ambiguous, rapidly changing environments where processes are still evolving.
• Strong problem-solving mindset with a preference for reusable solutions over one-off fixes.

Nice-to-have qualifications:

• Experience building AI enablement programs, centers of excellence, or internal champion networks.
• Familiarity with AI governance principles, including security reviews, data classification, and human-in-the-loop processes.
• Experience working with AI-native organizations or advanced software environments.
• Background in product operations, engineering operations, or research and development environments.

Benefits:

• Fully remote work environment with flexibility to work from anywhere in the United States.
• Flexible paid time off with no accrual limits for eligible employees.
• 11 annual company holidays.
• Paid sick leave and extended leave programs, including caregiver and bereavement support.
• Up to 10 weeks of paid parental bonding leave, plus additional eligible medical recovery time.
• Medical, dental, and vision benefits with significant employer contribution for employees and dependents.
• Professional development opportunities, including dedicated learning days.
• Volunteer time off and opportunities to contribute to meaningful initiatives.
• Competitive annual compensation range of approximately $127,500–$228,400 USD, depending on experience, skills, and location.
• Competitive benefits package and potential equity opportunities.
• Access to coworking spaces for employees who prefer hybrid work options.