Project Manager, AI Operations

Role Responsibilities

• Own complex projects and programs across AI and automation initiatives from planning through execution, ensuring deliverables, timelines, and success metrics are achieved.
• Translate business goals into actionable project plans, milestones, workflows, and operating processes.
• Drive AI evaluation programs by shaping and sequencing a portfolio of evaluation work, setting priorities, and grounding plans in the eval lifecycle.
• Set the bar for AI-native ways of working by using AI and automation tools natively and defining how the team applies them at program scale.
• Drive cross-functional execution by coordinating stakeholders, managing dependencies, and ensuring efficient progress toward objectives.
• Manage risk and remove obstacles by identifying risks, anticipating strains on capacity or methodology, and resolving issues proactively.
• Improve operational effectiveness by designing and implementing workflow improvements, SOPs, documentation, templates, and tracking mechanisms.
• Use data to guide decisions by defining and tracking metrics, evaluating outcomes, and recommending improvements.
• Partner on AI-enabled solutions by working with Automation Specialists, AI Operations leaders, and technical teams to identify automation opportunities.
• Share expertise and support team development by mentoring Project Coordinators and reinforcing operational best practices.

Minimum Requirements

• 4+ years of experience with strong working understanding of how LLMs, evaluations, and AI systems function across a portfolio.
• Native, day-to-day use of AI and automation tools (e.g., ChatGPT, Claude).
• Experience managing complex projects, programs, or operational initiatives with multiple stakeholders and dependencies.
• Ability to navigate ambiguity, solve operational challenges, and make independent decisions.
• Proven track record of managing timelines, risks, priorities, and deliverables across cross-functional teams.
• Strong written and verbal communication skills.
• Proficiency with project management, reporting, and collaboration tools (e.g., Asana, Airtable).

Preferred Requirements

• Experience in AI, automation, technology, or operations-focused environments.
• Experience designing or improving workflows, processes, or operational systems.
• Experience partnering with technical teams, engineers, data scientists, or automation specialists.
• Project management certification or formal training (noted as cut off in posting).