Job Description
We are seeking a visionary Senior AI Product Manager to lead the strategic roadmap for our upcoming 2026 product launch. In this pivotal role, you will bridge the gap between complex machine learning algorithms and user-centric experiences.
As we prepare for the next generation of autonomous systems and generative AI, your expertise will be instrumental. You will work directly with top-tier engineers and data scientists to define the vision, roadmap, and execution plan that positions us as a market leader in the 2026 landscape.
Why Join Us?
- Shape the future of technology with a forward-thinking team.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Roadmap Ownership: Own the end-to-end 2026 product vision, strategy, and roadmap for our core AI platform and generative model suite.
- Stakeholder Management: Translate complex technical concepts into clear, actionable roadmaps for executive stakeholders and engineering teams.
- Data-Driven Strategy: Lead market research and competitive analysis to identify emerging AI trends for the 2026 market cycle.
- Product Development: Collaborate with cross-functional teams (Data Science, Engineering, Design) to define requirements, prioritize features, and drive delivery.
- Performance Optimization: Lead A/B testing strategies and performance metrics analysis to ensure AI models deliver maximum user engagement and ROI.
- Innovation: Prototype and validate novel AI use cases that align with our 2026 product goals.
Qualifications
- Experience: 5+ years of experience in Product Management, specifically within Artificial Intelligence, Machine Learning, or Data Science.
- Technical Acumen: Strong understanding of LLMs, neural networks, and data architecture; ability to communicate with technical teams effectively.
- Leadership: Proven track record of launching successful SaaS products and leading high-performing teams.
- Communication: Excellent written and verbal communication skills with the ability to simplify complex technical data.
- Methodology: Deep experience with Agile methodologies, Scrum, and product lifecycle management.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; MBA preferred.