Job Description
The Future is Here, and We Need You to Lead It.
Nexus Horizon Labs is seeking a visionary AI Product Manager to spearhead our roadmap for 2026. We are building the next generation of artificial intelligence that will redefine human-machine interaction. If you are passionate about AGI (Artificial General Intelligence), ethical tech, and have a knack for strategic product development, this is your chance to build the future.
In this role, you will bridge the gap between complex engineering capabilities and market needs, ensuring our 2026 vision becomes a tangible reality. You will work in a fast-paced, high-performance environment alongside world-class engineers and designers.
Why Join Us?
- Work on cutting-edge technology that will shape the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a San Francisco hub.
- Focus on personal and professional growth.
Responsibilities
- Define the 2026 Vision: Lead the strategic roadmap for our core AI products, identifying opportunities for innovation and scaling.
- Product Lifecycle Management: Own the end-to-end product lifecycle, from ideation and market research to launch and post-launch analysis.
- Stakeholder Alignment: Collaborate with engineering, design, and executive leadership to translate high-level business goals into actionable product requirements.
- Data-Driven Decision Making: Utilize advanced analytics and user feedback to iterate on features and optimize product performance.
- Roadmap Execution: Prioritize features and manage the product backlog to ensure timely delivery of the 2026 strategic milestones.
Qualifications
- Experience: 5+ years of Product Management experience in the tech industry, with a focus on Artificial Intelligence or Machine Learning.
- Technical Fluency: Strong understanding of machine learning algorithms, LLMs, and data science principles.
- Strategic Thinking: Demonstrated ability to think long-term (3-5 year horizon) and drive strategic initiatives.
- Communication: Exceptional verbal and written communication skills, capable of translating technical jargon for diverse audiences.
- Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field (Master’s degree preferred).