About the role
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.
What you'll do
- Own product areas end-to-end: discovery, PRD writing, design collaboration, build
oversight, launch, and adoption.
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Ground every decision in real data — you'll pull and interpret actual usage, operational,
and business data rather than working off assumptions.
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Partner closely with engineering, design, and cross-functional business stakeholders to
ship high-quality, brand-facing products.
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Translate ambiguous, evolving business problems into clear, build-ready specifications.
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Run a disciplined, iterative delivery cadence — validate direction early, correct fast, and
ship surgically once something's approved.
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Own outcomes, not just output — define what success looks like for your area and
instrument for it.
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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 we're looking for
- 3–6 years of B2B product management experience, with genuine end-to-end
ownership of a product area — not just feature delivery.
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Strong first-principles problem-solving — able to break down ambiguous, complex
business problems into structured, solvable pieces.
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Data fluency — comfortable with SQL/analytics tools, sharp about defining the right
metrics, and instinctively data-backed in decision-making.
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Excellent written and verbal communication — you can write unambiguous,
build-ready specs and communicate clearly and persuasively with stakeholders at every
level.
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Proven stakeholder management — able to align cross-functional teams (business,
engineering, design, operations) with competing priorities toward a shared outcome.
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Strong product sense — an eye for what makes a workflow simple and valuable for a
non-technical, business-user audience.
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User empathy — genuine curiosity about the people who'll use what you build, and
discipline about validating with them rather than assuming.
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Systems thinking — comfortable reasoning about platforms with multiple integrated
modules, dependencies, and stakeholders rather than isolated features.
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Bias for action and ownership — you drive things forward independently, escalate the
right things, and don't wait to be told.
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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.
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Prior experience with platform, marketplace, or internal-tooling products is a strong
plus.
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Exposure to enterprise systems
