
51 - 200 employees
📣 Marketing
🏪 Marketplace
📱 Media
Marketing • Marketplace • Media
#paid is a marketplace platform that connects creators with brands for marketing collaborations. It enables creators to find brand deals and helps marketers hire creators for campaigns. The platform focuses on building successful partnerships through creative strategy, live reporting, and post-campaign insights. #paid also allows brands to repurpose creator content across various marketing channels.
🔥 18 hours ago
🌐 United States, Canada – Remote
💵 $180k - $190k / year
⏰ Full Time
🟠 Senior
✅ Product Manager
👻 Ghost score 1%
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51 - 200 employees
📣 Marketing
🏪 Marketplace
📱 Media
Marketing • Marketplace • Media
#paid is a marketplace platform that connects creators with brands for marketing collaborations. It enables creators to find brand deals and helps marketers hire creators for campaigns. The platform focuses on building successful partnerships through creative strategy, live reporting, and post-campaign insights. #paid also allows brands to repurpose creator content across various marketing channels.
• Own the product roadmap for the Data & ML squad, beginning with predictive performance infrastructure and creator–brand match quality • Use data and conversations with brands and creators to identify signals that drive brand retention • Turn ML and data capabilities into product value for brands and creators, while building reusable capabilities for products including Forge AI • Partner with Data Product Engineering leads to align data product strategy with company OKRs and commercial outcomes such as net dollar retention, retention, and contribution margin • Define north star, secondary, and counter metrics for products and features • Decide when to run experiments, design them, and analyze results with engineering and data partners • Balance brand and creator needs and explain tradeoffs • Sequence ML-powered features from predictions to recommendations to automated actions to build brand trust • Collaborate with design from project inception and make go/no-go and deprioritization decisions • Study competitors and market trends to identify opportunities and anticipate constraints • Clearly report results, learnings, and next steps
• 6+ years of product management experience, owning a product area end to end • Experience setting a north star metric, with secondary and counter metrics, and using it to make prioritization and go/no-go calls • History of owning roadmaps tied to commercial outcomes, such as NDR, churn reduction, or ARPU growth • Comfort with ambiguity: structuring problems, forming hypotheses, and finding evidence when data is thin • Experience balancing the needs of different user groups and working with design from the start • 2+ years on data, ML, or analytics products, including shipping recommendations, ranking, prediction, or scoring features end to end • Technical fluency with data and ML engineers, including reading SQL and working in BigQuery or Snowflake • Ability to turn model outputs and data insights into clear narratives for non-technical stakeholders • Experience building platforms used by multiple internal teams is nice to have • Working experience with LLMs or AI-native product workflows, such as prompting, agent design, or retrieval-augmented generation, is nice to have • Familiarity with creator economy, marketplace, or two-sided platform challenges is nice to have • Experience building internal data tools for operations and customer success teams is nice to have
• Variable pay (bonus or commission) • Stock options • Perks and benefits, depending on the role and location • Accommodations during the recruitment process
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