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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Product Manager (2026 Roadmap)

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are on the cusp of a technological revolution. At Nexus Future Labs, we are building the foundational models that will define the year 2026 and beyond. We are seeking a visionary Senior AI Product Manager to lead our strategic roadmap, bridging the gap between cutting-edge generative AI technology and real-world business impact.

As a key member of our product leadership team, you will own the 2026 vision, define product strategy, and drive the execution of high-impact AI solutions. If you are passionate about the future of artificial intelligence and want to shape the next generation of digital experiences, we want to hear from you.

Responsibilities

  • Define the 2026 Strategic Vision: Own the product roadmap for the upcoming fiscal year, identifying key opportunities for Generative AI integration and scalable machine learning solutions.
  • Lead Cross-Functional Teams: Collaborate closely with engineering, design, and data science teams to deliver high-quality, user-centric AI products.
  • Market Analysis: Conduct deep-dive research on emerging AI trends, competitor landscape, and customer needs to inform product decisions.
  • Product Lifecycle Management: Guide products from conception to launch, ensuring rigorous testing, compliance, and optimization.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for executives and stakeholders.

Qualifications

  • Experience: 5+ years of product management experience, with a specific focus on AI, Machine Learning, or Data Science products.
  • Technical Fluency: Deep understanding of Large Language Models (LLMs), NLP, and the Generative AI landscape.
  • Data-Driven Mindset: Proven ability to use data analytics to drive product strategy and measure success metrics.
  • Leadership: Demonstrated ability to lead and influence cross-functional teams without direct authority.
  • Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field (Master’s preferred).

Required Skills

Generative AI LLMs Product Management Agile Data Analysis Machine Learning Strategic Planning

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