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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Vision Lead

Innovatech Solutions Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Innovatech Solutions as we pioneer the technological landscape of 2026. We're seeking a visionary leader to shape our long-term technology strategy and drive innovation that will define the next decade. This role combines cutting-edge foresight with hands-on execution in one of the world's most dynamic tech ecosystems.

Why Innovatech? Our culture thrives on curiosity and bold thinking. You'll collaborate with Nobel laureates, industry disruptors, and passionate creators to build solutions that impact billions. We offer equity, unlimited PTO, and a state-of-the-art innovation campus overlooking the Bay.

Responsibilities

  • Develop and execute the 2026 technology roadmap with measurable milestones
  • Lead cross-functional teams in prototyping next-gen AI, quantum computing, and biotech solutions
  • Establish strategic partnerships with academic institutions and government labs
  • Present vision to C-suite and board with data-driven impact projections
  • Mentor emerging talent through our Future Leaders program
  • Secure $50M+ in innovation grants and venture capital
  • Publish annual 'State of 2026 Technology' whitepapers

Qualifications

  • 10+ years in strategic technology planning with Fortune 500 experience
  • Proven track record of launching market-defining products/services
  • Expertise in emerging tech: AI, quantum computing, or synthetic biology
  • PhD or equivalent in relevant field (e.g., Computer Science, Bioengineering)
  • Published thought leadership in top-tier journals/conferences
  • Experience scaling teams from 5 to 500+ members
  • Fluency in Mandarin, Arabic, or Spanish (for global partnerships)
  • Valid US security clearance (or ability to obtain)

Required Skills

strategic planning emerging technologies market analysis innovation management future trends data science leadership quantum computing AI ethics venture capital

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