Principal Product Manager

🕒 vor 1 Monat

🗽 New York – Remote

🗽 New York – Remote

💵 $185.000 - $190.000 / Jahr

⏰ Vollzeit

🔴 Experte

✅ Produktmanager

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

#paid

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

📣 Marketing

🏪 Marktplatz

📱 Medien

Marketing • Marketplace • Media

#paid ist eine Marktplatz-Plattform, die Kreative mit Marken für Marketing-Kollaborationen verbindet. Sie ermöglicht es Kreativen, Marken-Deals zu finden, und unterstützt Vermarkter dabei, Kreative für Kampagnen zu engagieren. Die Plattform konzentriert sich auf den Aufbau erfolgreicher Partnerschaften durch kreative Strategien, Live-Berichterstattung und Einblicke nach der Kampagne. #paid ermöglicht es Marken auch, Inhalte von Kreativen über verschiedene Marketingkanäle hinweg wiederzuverwenden.

Beschreibung

• Own the end-to-end product vision for the Data & ML squad, including the Forge AI creator agent and predictive performance infrastructure • Translate complex ML/data capabilities into user-facing product value for both brands and creators • Partner with Data Product Engineering leads to align data product strategy with OKRs and drive commercial outcomes (NDR, retention, contribution margin) • Define the metrics layer: determine what we measure, how we surface insights, and connect metrics to business impact • Identify and prioritize ML-powered bets (creator-brand match quality, content performance prediction, churn signals) and drive them from conception to launch

🎯 Anforderungen

• 6+ years of product management experience, with 2–3 years working directly with data, ML, or analytics products • Strong technical fluency with a prior engineering background (ex-engineer-turned-PM is the ideal archetype) • Hands-on experience writing or reviewing SQL; comfort navigating modern data warehouses (BigQuery, Snowflake, or similar) • Demonstrated track record shipping ML-adjacent features end-to-end (recommendations, ranking, prediction, scoring systems) • Working experience with LLMs or AI-native product workflows (prompting, agent design, RAG pipelines, etc.) • Clear ability to translate model outputs and data insights into compelling product narratives for non-technical stakeholders • Proven experience owning roadmaps tied to commercial outcomes (NDR, churn reduction, ARPU growth) • Familiarity with creator economy dynamics, marketplace mechanics, or two-sided platform product challenges is a strong plus • Experience building internal data tools and dashboards that empower ops and customer success teams • Deeply curious—the kind of person who explores the data warehouse for insights, not just on demand • Comfortable with ambiguity; you define the problem before being handed one • Can engage at multiple levels: hold technical depth conversations with engineers while presenting strategy to leadership • Build trust with engineering teams quickly; they want to build *with* you, not just have you manage them • High ownership mentality; thrive in lean, founder-adjacent environments.