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AI Product Strategist 2026

NeuroSynth Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join NeuroSynth Labs at the forefront of cognitive AI innovation. We're seeking a visionary AI Product Strategist to architect our 2026 roadmap, bridging cutting-edge research with market-transforming applications. You'll lead cross-functional teams to develop AI solutions that redefine human-computer interaction while ensuring ethical implementation and scalable deployment.

Our Austin hub fosters a culture of radical collaboration, with state-of-the-art labs and partnerships with UT's AI research institute. This role offers unparalleled influence in shaping how AI will integrate with human cognition by 2026.

Responsibilities

  • Architect AI product vision for 2026, focusing on cognitive augmentation and adaptive interfaces
  • Lead cross-functional teams through agile development cycles, ensuring alignment with neuroscience principles
  • Conduct market analysis and competitive intelligence to identify emerging AI opportunities
  • Define KPIs and success metrics for AI product performance and user adoption
  • Collaborate with ethics council to ensure responsible AI deployment frameworks
  • Present strategic roadmaps to C-suite and external stakeholders
  • Drive innovation sprints exploring quantum computing integration for next-gen AI

Qualifications

  • 8+ years in AI product strategy or related tech leadership role
  • Expertise in machine learning frameworks and neural network architectures
  • Proven track record launching AI products with 1M+ users
  • Deep understanding of cognitive science and human-AI interaction paradigms
  • Experience with ethical AI governance frameworks (e.g., EU AI Act compliance)
  • Advanced degree in Computer Science, Cognitive Science, or related field
  • Published research in AI ethics or human-computer interaction preferred
  • Strong Python/MLops background for technical credibility

Required Skills

AI Strategy Machine Learning Product Management Cognitive Science Ethics AI Quantum Computing MLOps Agile Leadership

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