Product Manager

Welocalize is a company that specializes in providing high-quality datasets for AI models through its Welo Data brand. The Product Manager will be responsible for driving the worker and operations experience post-onboarding, focusing on building a platform that supports sustainable growth and enhances client outcomes.

Responsibilities:

• Own product strategy for post-onboarding worker operations: project lifecycle management, task assignment, payment automation, quality dashboards, roster management, and self-service capabilities
• Align roadmap with Delivery Services North Stars: deliver faster without compromising quality, scale sustainably, and serve clients and raters exceptionally well
• Lead discovery sessions and user research with Project Managers, Quality Managers, L&D/Assessments specialists, Finance teams, and workers/raters; collaborate with Design to create intuitive experiences that engage workers and respect their time
• Partner with Development (Tech Leads, Engineering Managers, developers) and QA on solution design, involving technical teams early
• Create clear epics, user stories, and documentation for engineering with defined success metrics; maintain visibility into priorities and progress in Jira and Confluence
• Navigate distributed teams effectively—Development and QA are in India and Spain; Delivery Services are in Mexico and the US. Strong async communication and creative time zone management are essential
• Own end-to-end product development from discovery through UAT, release, and iteration; gather feedback and make informed ship decisions
• Monitor usage and adoption, gathering feedback to drive continuous improvements

Requirements:

• 3-5 years in operations management, program management, technical program management, or business operations—driving process improvements and working with product/technology teams. Examples: Technical Program Managers who owned roadmaps and wrote user stories, or Operations Managers who partnered with engineering to build internal tools
• Strong analytical skills and comfort with data-driven decisions in ambiguous environments
• Excellent communication across technical and business audiences
• Cross-functional experience with engineering, operations, and business teams, ideally across distributed time zones
• Proficiency with Jira, Confluence, and modern collaboration tools
• Initiative and ownership—proactively identify problems, propose solutions, and drive completion
• Willingness to push back constructively while maintaining strong relationships
• High standards and clear perspective on what 'good' looks like
• Product management experience in operations platforms, workforce management systems, or related domains
• Background in data annotation, ML operations, gig economy platforms, or services businesses with distributed workforces
• Experience with payments/invoicing, quality management, or project/task management systems
• Track record of process improvements driving measurable efficiency gains
• Strong async communication practices with globally distributed teams