Product Manager
TLDR
Act as the primary driver of a cross-functional team in a short-term simulation project focused on realistic product development workflows, improving data processes and AI-driven quality standards.
Location: Remote
Pay: $50- $55 USD Hourly.
Project Duration: 1 Week starting 4/20/2026. 8 hours daily.
About the Role
We are seeking an experienced Product Manager to participate in a short-term simulation project designed to recreate a realistic product development workflow. You will act as the primary driver of a cross-functional team, leading discussions, defining product requirements, and guiding decision-making across a 6-day simulated project.
You will collaborate with cross-functional teams, including product managers, data scientists, and client teams, to solve complex problems, reduce human effort, and ensure that AI-driven processes meet high standards for quality and reliability. Your work will directly contribute to improving our client's data annotation and evaluation processes, enabling them to scale more efficiently.
Key Responsibilities
Lead project kickoff and ongoing team discussions
Create and iterate on product documentation (e.g., PRDs)
Drive feature prioritization and decision-making
Communicate with engineering, design, and stakeholders
Facilitate meetings and align the team on goals and timelines
Requirements
Preferred Skills and Experience
3+ years of product management experience
Experience working cross-functionally with engineering and design
Comfortable leading meetings and making tradeoff decisions
Strong written communication skills (docs, emails, summaries)
Minimum Education Requirements
Bachelor’s degree in fields like Business, Marketing, Computer Science or a related field.
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Innodata is a dynamic data engineering company specializing in AI technology solutions, serving over 2,000 clients across diverse industries including technology, finance, law, and healthcare. We leverage advanced machine learning and artificial intelligence, combined with a global workforce, to deliver high-quality digital data management solutions that help organizations optimize their data landscape.
- Founded
- Founded 2015
- Employees
- 201-500 employees
- Industry
- Professional Services