Product Manager — Brand Platform

About the role

What you'll do

• 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.

What you'll bring

• 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 — 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, escalate the right things, and don't wait to be told.
• 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