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Future Technologies Strategist

Innovate 2026 Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Innovate 2026 Labs at the forefront of technological evolution! We're seeking a visionary Future Technologies Strategist to architect the digital landscape of tomorrow. In this pivotal role, you'll shape our R&D roadmap, drive cross-functional innovation initiatives, and transform cutting-edge concepts into market-leading solutions. If you're passionate about quantum computing, AI ethics, or sustainable tech, this is your chance to define the next decade of progress.

We offer competitive equity packages, flexible hybrid work, and unlimited learning stipends. Our state-of-the-art facility features collaborative maker spaces and dedicated innovation labs.

Responsibilities

  • Architect and execute 5-year technology roadmaps aligning with market trends
  • Lead cross-functional teams in developing prototype solutions for emerging tech domains
  • Conduct competitive analysis and patent landscape research in AI, biotech, and space tech
  • Forge strategic partnerships with academic institutions and industry disruptors
  • Present innovation frameworks to C-suite and board stakeholders
  • Mentor junior researchers in ethical technology development practices
  • Secure $5M+ annual innovation grants from federal and private sources

Qualifications

  • 10+ years in tech strategy with 5+ in emerging technologies
  • Advanced degree in Computer Science, Engineering, or Futurism
  • Published research in IEEE Nature or similar tier journals
  • Proven track record scaling R&D budgets >$50M
  • Expertise in regulatory frameworks for AI/quantum technologies
  • Proficiency in scenario planning and technology forecasting tools
  • Experience securing federal SBIR/STTR grants
  • Fluency in Python, TensorFlow, and cloud architecture principles

Required Skills

Technology Strategy AI Ethics Quantum Computing R&D Management Grant Writing Scenario Planning Machine Learning Patent Analysis

Ready to Take This Challenge?

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