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VP of Engineering - 2026 AI & Future Tech Strategy

Synapse Future Systems
Seattle
Estimated Salary
USD 180.000 – USD 320.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Synapse Future Systems as we architect the technological landscape of 2026. We are not just building software; we are defining the future of human-AI interaction. We are looking for a visionary VP of Engineering to lead our bold 2026 roadmap, driving innovation in Generative AI, Predictive Analytics, and next-gen cloud infrastructure.

In this pivotal role, you will bridge the gap between cutting-edge technology and business strategy, ensuring our products lead the market by at least two years. You will manage a world-class engineering team dedicated to pushing the boundaries of what is possible in the 2026 era.

Responsibilities

  • Define and execute the technical roadmap for the 2026 product cycle, focusing on AI-first architecture.
  • Lead a high-performance engineering team, fostering a culture of innovation, speed, and technical excellence.
  • Oversee the integration of emerging technologies (e.g., LLMs, Edge Computing) into core products.
  • Collaborate with C-level executives to align engineering milestones with business growth targets.
  • Establish scalable infrastructure to support rapid scaling of 2026 user base projections.
  • Mentor senior engineers and foster professional development across the organization.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior leadership role (VP or Engineering Director).
  • Proven track record of scaling engineering organizations from 50 to 500+ engineers.
  • Deep expertise in AI/ML architectures, cloud platforms (AWS/Azure), and distributed systems.
  • Strong background in product strategy and the ability to translate complex technical concepts into business value.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Demonstrated experience leading teams through digital transformation and future-tech adoption.

Required Skills

Artificial Intelligence Machine Learning Strategic Leadership Cloud Architecture Python TensorFlow Kubernetes System Design Agile Methodology

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