Senior Product Manager

Emploi pas sur LinkedIn

🕒 il y a 7 jours

🌐 États-Unis, Canada – Distant

🇺🇸 États-Unis – Télétravail 🇨🇦 Canada – Télétravail

💵 $180 000 - $190 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 1%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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#paid

Site WebLinkedInTous les Emplois

51 - 200 employés

📣 Marketing

🏪 Place de marché

📱 Médias

Marketing • Marketplace • Media

#paid est une plateforme de marché qui relie les créateurs aux marques pour des collaborations marketing. Elle permet aux créateurs de trouver des partenariats avec des marques et aide les marketeurs à engager des créateurs pour des campagnes. La plateforme se concentre sur le développement de partenariats réussis grâce à la stratégie créative, au reporting en direct et aux insights post-campagne. #paid permet également aux marques de réutiliser le contenu des créateurs sur divers canaux marketing.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• Variable pay (bonus or commission) • Stock options • Perks and benefits, depending on the role and location • Accommodations during the recruitment process