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Future Technologies Strategist

InnovateCore Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateCore Solutions as we pioneer the technological frontier of 2026. We're seeking a visionary Future Technologies Strategist to architect the next generation of digital experiences. This role sits at the intersection of AI, quantum computing, and sustainable innovation, where you'll shape products that redefine human-machine interaction. Our award-winning team thrives in a collaborative environment where curiosity meets execution.

Located in the heart of San Francisco's tech corridor, you'll work alongside Nobel laureates and serial entrepreneurs in our LEED-certified innovation hub. We offer comprehensive benefits including equity, unlimited PTO, and a $5k annual learning stipend.

Responsibilities

  • Develop 5-year technology roadmaps aligned with emerging industry trends
  • Lead cross-functional teams in prototyping AI-driven solutions for 2026 use cases
  • Conduct competitive analysis of next-gen tech ecosystems (quantum, AR/VR, bio-digital)
  • Collaborate with C-suite to integrate future tech into product roadmaps
  • Present strategic insights at industry conferences and investor summits
  • Manage $2M+ innovation budget with ROI-focused resource allocation
  • Mentor junior engineers in emerging technology adoption frameworks

Qualifications

  • 10+ years in tech strategy with 5+ years in emerging technologies
  • Advanced degree in Computer Science, Engineering, or related field
  • Proven track record of launching future-facing products (AI/quantum/AR)
  • Deep expertise in tech forecasting methodologies (Gartner, Forrester)
  • Experience scaling tech teams from 10 to 100+ professionals
  • Certified in AWS/Azure with quantum computing specialization
  • Published thought leadership in IEEE or Nature journals

Required Skills

AI Strategy Quantum Computing Tech Forecasting Product Roadmapping AR/VR Development Cloud Architecture Machine Learning Data Science

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