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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of tomorrow's digital frontier. We're seeking a visionary Future Technology Strategist to architect our 2026 technology roadmap and drive innovation across emerging domains. This pivotal role requires blending technical foresight with business acumen to shape our next generation of products and services.

Why Nexus Innovations? We're a Silicon Valley leader in quantum computing and AI research, offering unparalleled resources to transform ambitious concepts into market-defining solutions. Enjoy competitive benefits, flexible work arrangements, and the opportunity to collaborate with Nobel Prize-winning researchers.

Responsibilities

  • Develop and implement a comprehensive 2026 technology strategy aligned with market trends and company vision
  • Lead cross-functional teams in evaluating emerging technologies (quantum computing, neuromorphic AI, Web4)
  • Conduct scenario planning for disruptive tech adoption across global markets
  • Build strategic partnerships with academic institutions and tech pioneers
  • Present technology roadmaps to C-suite executives and board members
  • Manage $5M+ innovation budget with ROI-focused allocation

Qualifications

  • 10+ years in technology strategy, innovation management, or R&D leadership
  • Expertise in emerging tech domains (quantum computing, blockchain, advanced AI)
  • Proven track record of scaling tech initiatives from concept to commercialization
  • MBA or advanced degree in Computer Science/Engineering preferred
  • Experience with patent development and IP strategy
  • Exceptional analytical skills with data-driven decision-making
  • Strong presentation skills for executive audiences

Required Skills

Technology Strategy Innovation Management Quantum Computing AI Scenario Planning IP Strategy R&D Leadership Data Analysis

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