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Executive Director, Software AI Engineering

TWG Global AI · Santa Monica, CA, US · $350k - $400k

Actively hiring Posted 5 months ago

Role overview

We are seeking an Executive Director, Software & AI Engineering to serve as a hands-on technical leader and enterprise architect across TWG Global’s AI and software initiatives. This role is responsible for threading architecture, engineering execution, and technical decision-making across multiple concurrent projects, acting as a senior individual contributor and people leader who ensures systems are designed to scale, delivered to completion, and aligned to business outcomes.

Responsibilities

  • Lead architecture and hands-on engineering across multiple TWG Global AI and software initiatives, making critical decisions on system design, technology selection, and integration across complex environments.
  • Serve as a senior technical owner across projects, providing oversight and guidance while directly contributing to core engineering work in high-impact areas, including AI-driven workflows, digital employee systems, and complex data platforms.
  • Manage and mentor a small team of engineers (typically 4–5 at any given time), ensuring high standards of execution, accountability, and delivery in fast-paced, deadline-driven environments across multiple industries.

Basic qualifications

  • Hands-on technical experience as a senior software engineer and architect, with demonstrated success designing, building, and finishing complex systems across multiple technology stacks in production environments.
  • Hands-on expertise with modern cloud platforms and data ecosystems, including Azure-based architectures, enterprise analytics platforms (for example, Palantir), and core backend technologies such as Java, PostgreSQL, Redis, and distributed systems.
  • Strong architectural judgment and technical maturity, with the ability to make high-stakes decisions around system design, scalability, performance, and long-term maintainability across multiple concurrent projects.
  • Experience managing and mentoring small, highly skilled engineering teams, while remaining a deeply technical individual contributor.
  • Demonstrated ability to operate in high-pressure, deadline-driven environments across multiple industries, including client-facing or consulting-style engagements where execution speed and delivery quality are critical.
  • Record of successfully orchestrating and integrating multiple technology stacks and vendors into cohesive, production-ready platforms that support complex workflows and AI-driven decision-making.
  • Strong communication skills with the ability to translate complex technical concepts to senior business leaders and non-technical stakeholders, influencing outcomes and driving alignment across the organization.
  • Experience evaluating, selecting, and integrating emerging technologies, with a practical, execution-focused mindset that prioritizes shipping durable solutions over experimentation without delivery.
  • Master’s degree or PhD in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a closely related technical discipline.

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