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Future Technologies Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary Future Technologies Strategist to architect our next-generation innovation pipeline and drive groundbreaking solutions in AI, quantum computing, and biotechnology. This pivotal role demands a blend of technical acumen and strategic foresight to transform emerging concepts into scalable realities.

As a key member of our R&D leadership team, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and government research initiatives. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources for prototyping and experimentation. We offer competitive equity packages, flexible hybrid work arrangements, and exclusive access to our annual FutureTech Summit.

Responsibilities

  • Architect 5-year technology roadmaps aligning with market disruptors and regulatory frameworks
  • Lead cross-functional teams in developing quantum-resistant security protocols
  • Establish strategic partnerships with academic institutions and DARPA-funded projects
  • Identify and evaluate emerging technologies with potential to redefine industry standards
  • Present quarterly innovation briefings to C-suite and board of directors
  • Manage $15M annual R&D budget for experimental technology initiatives
  • Develop patent strategies for breakthrough AI and biotech applications

Qualifications

  • PhD or equivalent in Computer Science, Quantum Engineering, or related field
  • 10+ years experience in technology strategy with Fortune 500 or unicorn startups
  • Proven track record in commercializing emerging technologies (AI/quantum/bio)
  • Expertise in regulatory frameworks for AI ethics and quantum encryption
  • Published research in Nature or IEEE journals on future technologies
  • Fluency in at least two programming languages (Python, Rust, or Q#)
  • Experience with federated learning and decentralized AI architectures

Required Skills

Technology Strategy Quantum Computing AI Ethics Biotechnology Patent Law Federated Learning Risk Assessment

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