Associate Product Manager - AI Stylist

We're looking for an Associate Product Manager to lead the 0-1 journey of a new digital experience that helps customers make confident eyewear purchase decisions. You'll be responsible for shaping the pre-sales experience from discovery and exploration to purchase readiness through intelligent and personalized digital interactions. This role combines user empathy, data-driven decision-making, and cross-functional collaboration to create seamless, high-impact customer journeys that bridge online discovery and offline conversion.

Responsibilities:

• Own and improve the AI Stylist, improving engagement and conversion across web and mobile experiences.
• Work closely with design, data, and engineering teams to conceptualize and launch new conversational and guided experiences that help users find the right products.
• Collaborate with business and marketing teams to identify drop-off points and friction in the current discovery flow and deliver solutions that improve funnel performance.
• Build frameworks to evaluate response accuracy and recommendation quality, incorporating user feedback loops to continuously improve experience relevance.
• Partner with analytics and research teams to understand user intent and context, driving personalization at scale.
• Support the roadmap for content, UX, and platform improvements across geographies.
• Coordinate A/B tests, track key metrics (conversion, session depth, retention), and communicate insights to stakeholders.

Requirements:

• 1-3 years of experience in product management, growth, or product analytics in a digital-first company.
• Strong customer empathy and understanding of e-commerce or digital consumer journeys.
• Proven ability to work on 0-1 products or early-stage initiatives, from concept to launch.
• Analytical mindset with experience using tools like SQL, Amplitude, or Mixpanel.
• Excellent written and verbal communication skills to align with design, engineering, and business stakeholders.
• Curiosity and comfort working in an ambiguous, fast-moving environment with evolving hypotheses.

Nice to Have:

• Background in conversational or guided UX flows.
• Experience with recommendation or personalization systems.
• Exposure to machine-learning-driven product experiences.
• Experience with Custom LLM evaluation frameworks with human-in-the-loop.