Product Manager

Purplle; Mumbai; Vor Ort; INR 3.000.000 - 6.000.000; Vollzeit

Zusammenfassung

Purplle seeks a Product Manager to own a meaningful platform slice end-to-end, from discovery to adoption. You will work with a small, high-ownership team and cross-functional partners to build brand-facing products on Purplle's platform.

Your work will be grounded in data, with a strong emphasis on AI-native capabilities to automate, personalize, and drive measurable value for brand users. You will partner with engineering, design, and business stakeholders, translate ambiguous problems into

Qualifikationen

• 3–6 years of B2B product management with end-to-end ownership.
• Data-driven decision making with analytics.
• Strong communication and stakeholder management.
• Ability to translate problems into build-ready specs.
• Experience with platforms, marketplaces, or internal tools is a plus.
• Familiarity with AI-native product development.

Aufgaben

• Own product areas end-to-end: discovery through adoption.
• Ground decisions in real data: usage, ops, and business metrics.
• Collaborate with engineering, design, and stakeholders to ship quality products.
• Turn ambiguous problems into clear specifications.
• Run iterative delivery: validate, adjust, and ship surgically.
• Define success metrics and own outcomes for your area.
• Leverage AI tools to create value for brand users.

Kenntnisse

End-to-end ownership

SQL & analytics

Stakeholder management

Strong communication

Data-driven decisions

AI-native mindset

Platform/Marketplace experience

Systems thinking

Problem solving

User empathy

Tools

SQL

Jobbeschreibung

We're building a brand-facing platform that enables our partner brands to grow on Purplle through operational excellence and data intelligence. The core objective is simple: create real, measurable value for brands operating on our platform, making it easier for them to run their business with us and easier for them to grow it. You'll join as a product manager owning a meaningful slice of this platform end-to-end from problem discovery through launch and adoption, working closely with a small, high-ownership product team and cross-functional stakeholders across the business.

Responsibilities:

• Own product areas end-to-end: discovery, PRD writing, design collaboration, build oversight, launch, and adoption.
• Ground every decision in real data you'll pull and interpret actual usage, operational, and business data rather than working off assumptions.
• Partner closely with engineering, design, and cross-functional business stakeholders to ship high-quality, brand-facing products.
• Translate ambiguous, evolving business problems into clear, build-ready specifications.
• Run a disciplined, iterative delivery cadence: validate direction early, correct fast, and ship surgically once something's approved.
• Own outcomes, not just output; define what success looks like for your area and instrument for it.
• Build with an AI-native mindset, actively identify where AI/LLM capabilities can create outsized value for brand users (automation, intelligence, personalization) rather than treating AI as an add-on, and use AI tools yourself to move faster through discovery, spec-writing, prototyping, and analysis.

Requirements:

• 3-6 years of B2B product management experience, with genuine end-to-end ownership of a product area, not just feature delivery.
• Strong first-principles problem-solving, able to break down ambiguous, complex business problems into structured, solvable pieces.
• Data fluency: comfortable with SQL/analytics tools, sharp about defining the right metrics, and instinctively data-backed in decision-making.
• Excellent written and verbal communication: you can write unambiguous, build-ready specs and communicate clearly and persuasively with stakeholders at every level.
• Proven stakeholder management: able to align cross-functional teams (business, engineering, design, operations) with competing priorities toward a shared outcome.
• Strong product sense and an eye for what makes a workflow simple and valuable for a non-technical, business-user audience.
• User empathy: genuine curiosity about the people who'll use what you build, and discipline about validating with them rather than assuming.
• Systems thinking: comfortable reasoning about platforms with multiple integrated modules, dependencies, and stakeholders rather than isolated features.
• Bias for action and ownership: you drive things forward independently, escal…
• AI-native orientation, genuine fluency and enthusiasm for using AI tools in your own workflow, and a sharp eye for where AI can be embedded into the product itself to create customer value.
• Prior experience with platform, marketplace, or internal-tooling products is a strong plus.
• Exposure to enterprise systems (ERP/SAP or similar) is a plus, though not required.