Superside is the leading Creative-as-a-Service (CaaS) company that helps over 450 ambitious brands get great design and
Staff Product Manager
Location
Spain
Posted
46 days ago
Salary
0
Seniority
Lead
Job Description
Staff Product Manager
Superside
• Own product strategy and execution for Superspace, balancing customer value, business impact, and operational efficiency. • Lead a cross-functional pod of product designers, engineering leaders, and engineers to deliver high-impact outcomes. • Partner with Operations and Services teams to improve workflows and drive measurable business results. • Define how Superspace serves multiple user groups, from enterprise customers to internal creative and project teams. • Create cohesive product experiences by aligning work across multiple product teams and initiatives. • Shape AI-native workflows that combine human expertise, AI agents, and proprietary data. • Establish frameworks for prioritization, ensuring resources are focused on the highest-impact opportunities. • Prototype, validate, and iterate on product concepts in close collaboration with Design and Engineering. • Drive adoption, engagement, and efficiency through continuous product improvement. • Influence product strategy alongside senior leaders across Product, Engineering, and the executive team.
Job Requirements
- 8+ years of product management experience, including 4+ years in Senior or Staff-level roles.
- Experience leading complex B2B, platform, marketplace, AI, or workflow products.
- Strong product judgment with a track record of delivering measurable business outcomes.
- Deep curiosity about AI and hands-on experience working with AI-powered products and workflows.
- Ability to balance the needs of customers, internal users, technical constraints, and business goals.
- Strong product craft with a passion for building intuitive, high-quality user experiences.
- Experience leading multiple strategic initiatives simultaneously in fast-paced environments.
- Excellent stakeholder management and communication skills.
- Ability to work closely with technical teams and confidently discuss architecture, AI capabilities, and implementation trade-offs.
- Experience using data and experimentation to drive product decisions.
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