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Future Tech Strategist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Innovate Tomorrow Labs as we shape the technological landscape of 2026 and beyond. We're seeking a visionary Future Tech Strategist to lead our exploration of emerging technologies, market trends, and disruptive innovations. This role bridges cutting-edge research with actionable business strategy, driving our position at the forefront of digital transformation.

Our ideal candidate thrives in ambiguity, possesses deep technological foresight, and can translate complex concepts into scalable solutions. You'll collaborate with C-suite executives, R&D teams, and global partners to develop roadmaps that anticipate market shifts and create sustainable competitive advantages.

Responsibilities

  • Analyze emerging technologies (AI, quantum computing, biotech) and assess commercial viability for 2026 market landscape
  • Develop strategic technology roadmaps aligned with 5-year business objectives
  • Lead cross-functional workshops to identify innovation opportunities and mitigate technological risks
  • Present strategic recommendations to executive stakeholders with data-driven insights
  • Monitor global tech trends and competitive intelligence through proprietary research networks
  • Build partnerships with academic institutions and startups for early-stage technology adoption

Qualifications

  • 10+ years in technology strategy, R&D management, or innovation consulting
  • Proven track record of developing future-focused technology roadmaps
  • Expertise in AI/ML, blockchain, IoT, or emerging tech domains
  • Strong analytical skills with ability to synthesize complex data sets
  • Experience presenting to C-suite and boards of directors
  • MBA or advanced degree in technology, business, or related field required
  • Published thought leadership in tech strategy or innovation management

Required Skills

strategic planning technology forecasting AI/ML innovation management market analysis R&D strategy cross-functional leadership data-driven decision making

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