Product Manager, Product Innovation

Job not on LinkedIn

October 27

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Rockstar

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Recruitment • HR Tech • Artificial Intelligence

Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.

2 - 10 employees

🎯 Recruiter

👥 HR Tech

🤖 Artificial Intelligence

📋 Description

• Identify and validate new opportunities to enhance how educators and students interact with the platform. • Lead 0→1 product discovery, defining problems and opportunities where the solution isn’t yet clear. • Use data insights, user research, and rapid experimentation to shape hypotheses and uncover high-impact ideas and educator use cases. • Collaborate with design and engineering partners to rapidly prototype and test new concepts, balancing creativity with technical feasibility. • Frame product bets that combine educational value, technical innovation, and strategic potential. • Drive end-to-end product development for early-stage ideas, from initial concept through to first release. • Translate ambiguous ideas into clear product requirements, user stories, and success metrics. • Partner closely with engineers to ensure technical feasibility and architectural scalability as prototypes evolve toward production. • Facilitate rapid iteration and lightweight delivery, enabling the team to learn quickly and adapt based on results. • Maintain a bias toward action and experimentation, ensuring forward momentum even amid uncertainty. • Analyze usage data, engagement patterns, and learning outcomes to evaluate the impact of new features. • Refine early-stage products through A/B testing, user feedback, and post-launch insights. • Continuously improve product quality, usability, and performance through data-driven iteration. • Capture and share learnings from each experiment to inform future 0→1 initiatives. • Champion educator and student perspectives, ensuring every innovation enhances real-world teaching and learning. • Partner across product, engineering, and commercial teams to integrate validated experiments into the core platform. • Communicate discoveries and progress with clarity, building trust and excitement around innovation efforts. • Contribute to defining the operating model for 0→1 innovation, helping the team establish repeatable methods for testing, validating, and scaling new ideas.

🎯 Requirements

• 4–6 years of product management experience, ideally in a SaaS or consumer-facing product environment. • Proven experience with AI-driven product development, including generative AI or recommendation systems across a spectrum of use cases. • Demonstrated ability to work with technical teams—comfortable discussing APIs, data models, and system architecture at a conceptual level. • Experience leading end-to-end product development cycles, from ideation and discovery through delivery and measurement. • Strong ability to translate user needs into clear product requirements and actionable priorities. Demonstrated ability to prototype and test quickly, using lightweight design and validation methods. • Experience with data-informed decision making, including setting success metrics, analyzing engagement data, and using A/B testing or experimentation frameworks. • Proven track record of shipping user-facing products that improve engagement, usability, or retention. • Strong collaboration skills—able to communicate effectively with engineers, designers, and stakeholders. • Curiosity and creativity—a passion for exploring emerging technologies (AI, personalization, adaptive learning, etc.) and turning them into real user value. • Excellent written and verbal communication skills.