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Information Technology 🏢 Full Time ⭐️ Verified

Future Technologies Lead

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

Job Description

Join Nexus Innovations at the forefront of technological transformation. We're seeking a visionary Future Technologies Lead to architect solutions that will define 2026 and beyond. This role blends strategic foresight with hands-on innovation to pioneer breakthroughs in AI, quantum computing, and sustainable tech. You'll collaborate with global teams to transform emerging possibilities into scalable realities, shaping how humanity interacts with technology in the next decade.

Why Nexus? We're a B Corp-certified incubator with 12+ years of pioneering next-gen solutions. Our culture rewards bold thinking and offers unparalleled resources for experimental projects. Enjoy flexible work arrangements, unlimited learning stipends, and equity in ventures you help create.

Responsibilities

  • Develop 5-year technology roadmaps for quantum computing and AI integration
  • Lead cross-functional teams in prototyping next-gen interfaces (AR/VR/metaverse)
  • Establish ethical frameworks for autonomous systems and biotech applications
  • Partner with academia to incubate breakthrough research in sustainable tech
  • Secure $10M+ in innovation grants and strategic partnerships
  • Present future-tech visions to C-suite and industry consortiums
  • Mentor junior innovators in emerging technology ethics and implementation

Qualifications

  • 10+ years in tech innovation with 5+ years in strategic leadership
  • Proven track record scaling experimental technologies to enterprise level
  • Deep expertise in quantum computing or generative AI ecosystems
  • Published research in IEEE or Nature on future-facing technologies
  • Experience securing federal/state innovation grants (SBIR/STTR)
  • Certified in AI ethics (e.g., IEEE 7000) or sustainable tech standards
  • Fluency in at least two programming languages (Python/R preferred)
  • PhD in Computer Science, Engineering, or related field

Required Skills

Strategic Foresight Quantum Computing Generative AI Sustainable Technology Ethics Frameworks Grant Writing AR/VR Development Machine Learning

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