Platform and Data Product Manager for B2B Self-Service applications

Description

Who Are We?

Syte is a fast-growing, award-winning visual AI startup in the e-commerce space. We're on a global mission to make shopping delightful, seamless, and intuitive by empowering brands to instantly connect shoppers with products they love. Partnering with world-leading brands, we provide on-demand, personalized experiences that drive conversion, increase average order value, and foster lifelong loyalty.

As the world’s first Product Discovery Platform, Syte uses Visual AI and NLP to create intuitive search and discovery experiences for all types of shoppers. Our solutions include visual search, automated product tagging, advanced personalized recommendations, shoppable social curation, and more.

What Will You Be Doing?

• Define and own the roadmap for the Syte B2B Platform and personalization offerings.
• Lead the lifecycle of Catalog Management and Self-Service products—from initial concept and PRD through UX, development, and analytics.
• Oversee cross-functional projects with development, ML Engineering, Data Science, and other teams.
• Collaborate with business, R&D, and customer teams to define product requirements and ensure successful end-to-end delivery.
• Establish and track key product KPIs, taking decisive action to drive business success.
• Use analytics, market research, and competitive insights to inform strategic decision-making.

Requirements

What Do You Need?

• 5+ years in product management for B2B platforms, ideally within eCommerce or retail.
• Independent and organized, with excellent communication skills to influence both technical and non-technical stakeholders.
• Experience in personalization and user journey (preferred).
• Proven track record of building and executing complex product roadmaps.
• Strong analytical skills with a strategic, data-driven mindset.
• Strong User Experience orientation.
• Technically proficient—familiar with tools like Postman and able to set and track technical goals effectively.
• Experience with data exploration tools like Elasticsearch (preferred).
• Bachelor’s degree in Engineering or a related field.