Were hiring a Senior Product Manager for Shopper Intelligence, our eCommerce-oriented product. Youll lead an independent product area, partnering with engineering, data, design, sales, and marketing to turn our companys data into clear customer value, owning discovery, launch, and iteration, work flows, and driving measurable outcomes.
We operate with a startup mindset: move fast, think big, and build long-term value for customers.
What makes the Product team awesome?
Build products that help leading brands and retailers make confident decisions from large-scale digital data.
Work with top talent across product, engineering, and data.
Ship AI-powered capabilities iteratively, improving with every release.
See direct impact through adoption, customer value, and growth.
What youll do as a Senior Product Manager...
Define and evolve product vision and strategy aligned to business goals.
Own a product area end-to-end, from discovery to launch and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Translate data into productized insights and workflows that speed decisions.
Shape the roadmap, write clear requirements, and prioritize for impact.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.
Define success metrics, monitor performance, run experiments, and iterate based on usage and feedback.
Lead AI integration to deliver next‑generation insights. Define and build core features that speed customer decisions.
Self-initiate, adapt and iterate fast based on market/customer demand, and bring a proactive "get things done" attitude.
Requirements: 5+ years as a Product Manager building B2B SaaS or web products, with ownership of roadmap and outcomes.
Hands-on leadership across engineering, data science, and design through discovery, delivery, and iteration.
Entrepreneurial, proactive, and effective in ambiguity, moving quickly from insight to execution.
Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
AI fluency: understand how to embed AI into products and internal workflows (Prototyping, Agentic products, evaluation etc.).
Excellent communication and stakeholder alignment across product, sales, and marketing.
Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
High learning agility, adaptable in a fast-changing data and AI landscape.
Education: BSc in Computer Science, Industrial Engineering, Systems Engineering, or equivalent practical experience.
Strong advantage-
Experience in fast-moving startup environments or startup within an enterprise.
Built data products: metrics, pipelines, data QA, and insight generation.
Shipped AI features in product workflows: recommendations, forecasting, anomaly detection, insight generation, or AI agents.
eCommerce/marketplace domain experience: ecosystems, digital shelf, conversion funnels, merchandising.
This position is open to all candidates.