Staff Product Manager at Superside | Torre
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Staff Product Manager

You'll own AI-native product strategy, shaping cohesive experiences and driving measurable business impact.
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Full-time

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Emma of Torre.ai
13 days ago

Requirements and responsibilities


What You’ll DoOwn 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.What You’ll Need to Succeed8+ 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.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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