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Zylu, a lean SaaS company, seeks a hands-on Product Lead to own outcomes from discovery to adoption for our AI-powered growth platform for salons and beauty businesses.
You will directly influence the product roadmap, engage with customers and cross-functional teams, translate business strategy into concrete requirements, and drive launches and adoption across India and international markets.
Bangalore South, India | Posted on 09/25/2026
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 .
Regularly engage with customers, Customer Success, Sales, Marketing, and Engineering.
Understand the problem behind customer feature requests.
Identify opportunities using customer feedback, product usage data, market insights, and business priorities.
Develop a deep understanding of salon workflows and customer pain points.
Turn customer problems into scalable product solutions.
Own and prioritise the product roadmap.
Balance customer needs, business goals, product data, market opportunities, and technical constraints.
Decide what should be built now, next, later, or not at all .
Make clear trade-offs between customer requests, growth opportunities, product improvements, and technical investments.
Work directly with the founding team to translate business strategy into product priorities.
Turn product problems into clear requirements, user flows, user stories, and acceptance criteria.
Work closely with Engineering and Design from discovery through release.
Resolve product ambiguity quickly.
Help Engineering make informed product trade-offs.
Validate features before release.
Partner with Engineering and QA to ensure product quality.
Own outcomes across:
Activation
Adoption
Engagement
Retention
Conversion
Expansion
Identify and remove friction from onboarding and key customer journeys.
Run experiments to improve customer and business outcomes.
Partner with Customer Success, Sales, and Marketing to increase adoption.
Treat a feature as successful only when customers discover it, use it, and receive value from it .
Define success metrics before major product initiatives begin.
Monitor feature usage and adoption after launch.
Analyse customer behaviour and feedback.
Identify friction, drop-offs, and opportunities.
Use quantitative and qualitative data for prioritisation.
Decide whether features should be:
Improved
Promoted
Simplified
Retired
Help shape Zylu's AI-first product experience.
Build experiences around:
Conversational AI
AI agents
AI-powered workflows
Identify workflows where AI creates meaningful customer value.
Avoid adding AI simply for the sake of having AI.
Work with Engineering to make AI experiences simple, useful, reliable, and measurable.
Stay current with relevant AI product developments.
Own product launches with Marketing, Sales, Customer Success, and Engineering.
Define the customer problem, value proposition, and expected outcome.
Ensure internal teams understand new capabilities.
Coordinate:
Release communication
Internal enablement
Adoption initiatives
Measure launch performance and iterate based on results.
4-7 years of relevant product experience.
Significant hands-on Product Management experience in SaaS or technology.
Experience owning products or major product areas end-to-end.
Strong experience across:
Discovery
Prioritisation
Requirements
Execution
Launch
Adoption
Measurement
Iteration
Demonstrated ownership of measurable outcomes such as:
Activation
Adoption
Engagement
Retention
Conversion
Expansion
Revenue
Strong customer discovery and problem-solving skills.
Strong analytical and data-driven decision-making ability.
Ability to connect product decisions with customer value and business outcomes.
Comfortable working closely with Engineering and understanding technical trade-offs.
Comfortable making decisions with incomplete information.
Strong written and verbal communication.