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Senior level but generalist product title and reputable employer create moderate competition.
Strong retail experimentation SaaS focus demands specific domain experience, limiting cross-industry fit.
Explicit 10–15 years and mandatory SaaS/retail product experience raise filter strictness significantly.
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Drive the vision, strategy, and execution of a Retail Experimentation SaaS Platform enabling enterprises to run and analyze experiments across digital and physical retail channels.
Own the end-to-end product lifecycle including ideation, prioritization, development, launch, and iteration of experimentation workflows and features.
Collaborate cross-functionally with engineering, data science, go-to-market, and customer teams to deliver scalable, data-driven, and secure experimentation solutions that measure ROI and improve retail performance.
10-15 years of Product Management experience in SaaS, data/analytics platforms, or retail technology.
Bachelor’s degree in Business, Computer Science, Engineering, or related field; MBA is a plus.
Strong understanding of experimentation, A/B testing, retail data, and omnichannel customer behavior is mandatory.
Proven track record of building and launching B2B SaaS products with Agile/Scrum execution experience.
Experienced in defining and executing product strategies for experimentation frameworks and retail SaaS platforms.
Comfortable working closely with data science teams to translate advanced analytics (e.g., causal inference, machine learning) into product features.
Skilled in partnering with diverse stakeholders including retailers, merchandisers, and cross-functional teams to drive product adoption and impact.