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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

NextGen Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join NextGen Innovations at the forefront of technological evolution. We seek a visionary 2026 Technology Futurist to architect tomorrow's digital landscape. This pivotal role demands strategic foresight to identify emerging paradigms, develop actionable roadmaps, and lead cross-disciplinary teams in pioneering solutions that redefine human-machine interaction. If you thrive at the intersection of quantum computing, biotechnology, and AI ethics, this is your catalyst to shape the future.

Responsibilities

  • Analyze emerging tech trends (quantum, AGI, synthetic biology) to create 3-5 year strategic foresight frameworks
  • Develop patent-pending innovation blueprints for next-gen human augmentation systems
  • Lead cross-functional sprints prototyping 2026-viable consumer and enterprise solutions
  • Establish industry-first ethical governance protocols for autonomous decision-making systems
  • Present future-state scenarios to C-suite and investor stakeholders with data-driven conviction
  • Build global partnerships with academic labs and government innovation consortia

Qualifications

  • PhD in Computational Physics, AI Ethics, or Bioengineering with 8+ years industry experience
  • Proven track record developing commercial applications for emerging technologies
  • Expertise in systems thinking, scenario planning, and technology forecasting methodologies
  • Published research in Nature/Science on human-AI symbiosis or quantum applications
  • Fluency in at least two programming languages (Python, Rust, or Go) and ML frameworks
  • Experience securing $10M+ R&D funding from DARPA, NSF, or equivalent entities
  • Deep understanding of global tech policy landscapes (US, EU, APAC regulatory frameworks)

Required Skills

Technology Forecasting Quantum Computing AI Ethics Strategic Innovation Systems Architecture Biotechnology Policy Analysis Machine Learning R&D Management

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