Job Description
The Opportunity:
We are pioneering the next generation of enterprise intelligence at Horizon 2026 Labs. We are looking for a visionary AI Product Lead to spearhead the development of our flagship autonomous agent platform. In this role, you will bridge the gap between cutting-edge artificial intelligence and practical business applications, ensuring our solutions are scalable, secure, and transformative for the year 2026 and beyond.
Why Join Us?
Be at the forefront of the AI revolution. We offer a competitive compensation package, equity options, and a collaborative environment where innovation is the currency. You will work directly with C-level executives and world-class engineers to define the roadmap that will shape the future of work.
Responsibilities
- Strategic Vision: Define and communicate the product vision for our AI-driven autonomous agents, aligning technology roadmap with business goals.
- Product Lifecycle: Own the end-to-end product lifecycle from ideation and discovery to launch, iteration, and post-market analysis.
- Technical Leadership: Collaborate closely with engineering, data science, and design teams to translate complex AI concepts into intuitive user experiences.
- Market Analysis: Conduct deep-dive market research and competitive analysis to identify emerging trends and opportunities in the generative AI space.
- Stakeholder Management: Act as the primary evangelist for the product, presenting updates to stakeholders and securing buy-in for strategic initiatives.
- Performance Optimization: Monitor key performance indicators (KPIs) and user metrics to continuously optimize product performance and user retention.
Qualifications
- Experience: 7+ years of product management experience, with at least 3 years specifically in AI, Machine Learning, or SaaS platforms.
- Technical Fluency: Strong understanding of LLMs, NLP, and AI infrastructure; ability to converse fluently with technical teams.
- Leadership: Proven track record of leading cross-functional teams and managing large-scale product launches.
- Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA preferred.
- Communication: Exceptional verbal and written communication skills, with the ability to simplify complex technical concepts.
- Data-Driven: Strong analytical mindset with experience using A/B testing, analytics tools, and user research methodologies.