Head of Product (SaaS) - Remote

Posted 2 months agoViewed
LisbonPortugal; WarsawPoland; DublinIreland; LondonUnited KingdomFull-TimeSaaS, Web Data
Company:Zyte
Location:Lisbon, Portugal; Warsaw, Poland; Dublin, Ireland; London, United Kingdom
Languages:English
Seniority level:Lead, 7+ years
Experience:7+ years
Skills:
LeadershipAgileArtificial IntelligenceData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipStrategyProduct AnalyticsMentoringSoftware EngineeringSaaS
Requirements:
7+ years in product management 2+ years in a senior or group-level leadership role Deep understanding of B2B SaaS growth levers (acquisition, activation, retention, monetization) Track record of managing and scaling successful SaaS or API-first products Experience leading pricing strategy and go-to-market alignment Analytical mindset with strong communication and storytelling skills Proven ability to synthesize insights and present performance metrics, strategy updates, and recommendations to senior leadership Hands-on experience with code, a background in software engineering, or a strong track record building products for engineers Passionate about developer tools, data accessibility, and the transformative potential of AI
Responsibilities:
Shape high-level product narratives, features, and priorities for Zyte's engineer solutions. Collaborate with product owners for feature discovery, prioritization, and execution. Communicate product plans and direction across the business. Link product and platform thinking with engineering leaders. Set and drive team goals for activations, adoptions, growth, and retention. Lead growth initiatives across acquisition, activation, and retention. Report on key performance metrics and product outcomes to senior leadership. Monitor competitive landscape and market trends to inform product, pricing, and positioning. Shape and evolve Zyte's pricing approaches. Lead a team of product owners responsible for engineer-focused products. Foster a culture of collaboration, customer focus, and data-driven decision making. Ensure clarity and alignment across squads for timely delivery. Champion the customer, including engineers, data professionals, and technical decision makers. Monitor emerging opportunities in web scraping, data, AI, and software engineering.
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