Zylu
Product Lead
Posted Sep 25, 2026
Product Lead – B2B SaaS / AI
About Zylu
Zylu is building an AI-powered growth and management platform for salons and beauty businesses. We help salons grow revenue, automate customer engagement, simplify bookings, and manage their business from one platform. Growing across India and international markets, including North America, the UAE, Saudi Arabia, and Southeast Asia.
We are a lean, fast-moving, product-driven SaaS company. We are looking for a hands-on Product Lead who can own product outcomes from discovery through adoption. This is not a project management or backlog management role.
You will have meaningful ownership of what we build, why we build it, and whether it creates measurable value.
What You'll Own
Product Discovery & Customer Understanding
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Regularly engage with customers, Customer Success, Sales, Marketing, and Engineering.
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Understand the problem behind customer feature requests.
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Identify opportunities using customer feedback, product usage data, market insights, and business priorities.
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Develop a deep understanding of salon workflows and customer pain points.
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Turn customer problems into scalable product solutions.
Product Strategy & Prioritisation
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Own and prioritise the product roadmap.
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Balance customer needs, business goals, product data, market opportunities, and technical constraints.
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Decide what should be built now, next, later, or not at all.
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Make clear trade-offs between customer requests, growth opportunities, product improvements, and technical investments.
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Work directly with the founding team to translate business strategy into product priorities.
Product Execution
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Turn product problems into clear requirements, user flows, user stories, and acceptance criteria.
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Work closely with Engineering and Design from discovery through release.
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Resolve product ambiguity quickly.
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Help Engineering make informed product trade-offs.
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Validate features before release.
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Partner with Engineering and QA to ensure product quality.
Product Growth & Adoption
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Own outcomes across:
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Activation
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Adoption
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Engagement
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Retention
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Conversion
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Expansion
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Identify and remove friction from onboarding and key customer journeys.
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Run experiments to improve customer and business outcomes.
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Partner with Customer Success, Sales, and Marketing to increase adoption.
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Treat a feature as successful only when customers discover it, use it, and receive value from it.
Product Analytics
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Define success metrics before major product initiatives begin.
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Monitor feature usage and adoption after launch.
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Analyse customer behaviour and feedback.
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Identify friction, drop-offs, and opportunities.
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Use quantitative and qualitative data for prioritisation.
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Decide whether features should be:
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Improved
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Promoted
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Simplified
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Repositioned
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Retired
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AI Product Development
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Help shape Zylu's AI-first product experience.
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Build experiences around:
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AI automation
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Conversational AI
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AI agents
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Intelligent recommendations
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AI-powered workflows
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Identify workflows where AI creates meaningful customer value.
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Avoid adding AI simply for the sake of having AI.
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Work with Engineering to make AI experiences simple, useful, reliable, and measurable.
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Stay current with relevant AI product developments.
Product Launches
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Own product launches with Marketing, Sales, Customer Success, and Engineering.
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Define the customer problem, value proposition, and expected outcome.
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Ensure internal teams understand new capabilities.
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Coordinate:
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Release communication
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Product documentation
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Internal enablement
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Adoption initiatives
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Measure launch performance and iterate based on results.
What We're Looking For
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4-7 years of relevant product experience.
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Significant hands-on Product Management experience in SaaS or technology.
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Experience owning products or major product areas end-to-end.
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Strong experience across:
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Discovery
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Prioritisation
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Requirements
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Execution
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Launch
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Adoption
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Measurement
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Iteration
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Demonstrated ownership of measurable outcomes such as:
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Activation
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Adoption
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Engagement
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Retention
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Conversion
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Expansion
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Revenue
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Strong customer discovery and problem-solving skills.
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Strong analytical and data-driven decision-making ability.
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Good commercial understanding.
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Ability to connect product decisions with customer value and business outcomes.
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Comfortable working closely with Engineering and understanding technical trade-offs.
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Comfortable making decisions with incomplete information.
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Strong written and verbal communication.
Role snapshot
Job type
Full-time
Required skills
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