Product Ops Manager

Pareto.AI

121d

About The Position

We're seeking a Product Operations Manager to support our product team in implementing systems that enable consistent, efficient project delivery at scale. As we expand our portfolio of AI research partnerships and custom data labeling projects, we need someone who can work closely with our product and ops teams to operationalize new functionality that power these complex delivery projects.

Requirements

• 3+ years in operations, program management, or similar role in data services, research, or AI/LLM environments
• Experience supporting complex, custom project delivery in a scaling technology or services environment
• Proven track record of implementing processes and systems that improve team efficiency and project quality
• Strong analytical skills with experience in data analysis, reporting, and project metrics
• Comfortable writing SQL queries and building dashboards to surface operational insights and identify process bottlenecks through data analysis
• Familiarity with project management tools and data labeling platforms

Nice To Haves

• Experience in data labeling, large language models, or AI research environments
• Background in research operations, academic research, or working with research institutions
• Familiarity with data annotation tools, quality assurance processes, and dataset management
• Experience managing client relationships in a services or consulting environment
• Understanding of LLM workflows and training data requirements
• Background in consulting, operations, or business analysis
• Project management certification (PMP, Scrum Master, etc.)
• Experience with APIs and data pipeline management

Responsibilities

• Operationalize new product features and capabilities through standardized templates and best practices
• Build scalable workflows that create alignment between product, operations, and internal stakeholders
• Continuously improve development processes using emerging technologies in data labeling, research operations, and AI tooling
• Establish comprehensive data collection across all touchpoints to enable meaningful reporting and analytics
• Track feature adoption, implementation success, and workflow pain points to prioritize improvements
• Create dashboards that surface actionable insights for product and operations teams
• Partner with internal teams to establish feedback loops and communication channels that surface issues early
• Collect client feedback and track quality metrics, timeline adherence, and satisfaction scores
• Support team onboarding, knowledge transfer, and training to maximize tool effectiveness across diverse projects
• Create visibility systems for product development timelines and feature delivery milestones
• Build communication frameworks to support product development initiatives
• Design and facilitate key product planning sessions and stakeholder check-ins
• Establish monitoring systems to track product development progress and surface risks proactively

Benefits

• Competitive compensation
• Comprehensive benefits
• Collaborative environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees