Associate Product Manager

Associate Product Manager

We are looking for a proactive and organized Associate Product Manager to join our Product team in a position that has a main focus on project management and AI product execution. The ideal candidate has a strong bias toward action, excellent attention to detail, and the ability to keep projects moving in a fast-paced environment.

You will work closely with Product, Engineering, Operations, Data Science, and Design teams to coordinate project execution, track deliverables, identify risks, and ensure timely delivery. This role requires strong communication, ownership, and the ability to manage multiple priorities effectively.

Scope and Ownership

• Support projects from planning through execution and delivery across technical, operational and product initiatives.
• Own assigned projects or workstreams and ensure timely completion of deliverables.
• Partner with Product, Engineering, Data Science, Design, and cross-functional stakeholders to define scope, timelines, dependencies, and responsibilities.
• Coordinate multiple projects while managing priorities and follow-ups.
• Track action items, dependencies, risks, and blockers and escalate issues when required.

Execution and Delivery

• Create and maintain project plans, timelines, milestones, and status trackers.
• Support sprint planning, backlog refinement, release planning, and other delivery activities.
• Facilitate project meetings and ensure clear documentation of decisions and action items.
• Monitor project progress against timelines and proactively highlight delays or risks.
• Coordinate release readiness and dependencies across Product, Engineering, QA, Data Science, and Operations teams.
• Use project management tools such as Jira, Asana, Smartsheet, or similar platforms.

Communication and Collaboration

• Maintain clear and timely communication with project stakeholders.
• Follow up with teams to ensure commitments and action items are completed.
• Prepare regular project status updates covering progress, risks, blockers, and upcoming milestones.
• Build strong working relationships across Product, Engineering, Data Science, Design, Operations, and other teams.
• Work closely with Data Scientists, Engineers, and Designers to translate product requirements into clear execution plans and ensure effective collaboration across disciplines.
• Work closely with Senior Product Managers and Engineers on complex projects and progressively take on greater ownership.