Product Operations Analyst – Delivery

• Work across Product Operations and Delivery.
• Organize and track multiple requests and workstreams.
• Work with metrics and conduct analyses.
• Collaborate across different teams and follow topics through to completion.
• Identify issues, engage the appropriate owners, and ensure progress and closure of work cycles.
• Use management tools and generative Artificial Intelligence for analysis, organization, automation, and productivity.
• Support activities related to product, technology, projects, operations, and delivery.

• Previous experience in Product, Technology, Project Management, Operations, Delivery, or related areas.
• Strong organizational skills and the ability to track multiple requests and workstreams.
• Analytical mindset and ease working with metrics.
• Strong communication skills and the ability to collaborate across different teams.
• Proactive approach to identifying issues, engaging the appropriate owners, and driving topics forward.
• Ability to work independently, prioritize effectively, and take ownership.
• Ability to follow topics through to completion, ensuring that work cycles are effectively closed.
• Familiarity with management tools such as Jira, Monday.com, Linear, ClickUp, or similar platforms.
• Interest in understanding the product, technology, and business context behind requests.
• Familiarity with generative Artificial Intelligence tools and the ability to use them practically in day-to-day work for analysis, organization, automation, and productivity.
• High school diploma.
• Preferred qualifications: experience at SaaS or technology companies; experience working directly with Product Managers and Engineering teams; knowledge of Agile methodologies and software development processes; experience with user acceptance testing and software quality; knowledge of BI or data analysis tools; experience with Product Analytics tools such as Mixpanel, Amplitude, PostHog, or Hotjar; previous experience in Product Operations; experience with automations, AI agents, no-code or low-code tools, or integrations using platforms such as ChatGPT, Claude, n8n, Make, Lovable, or similar tools.