Senior Engineering Manager – AI Advanced Development

Required Qualifications

• Strong software engineering background with the ability to build working systems yourself, not only direct others to build them.
• Demonstrated experience building AI-native applications — LLM integration, agents, retrieval, evaluation harnesses, and automation workflows.
• Track record of moving from an ambiguous question to a defensible technical recommendation on a short timeline.
• Experience leading senior engineers, including hiring, setting technical direction, and holding a high bar.
• Demonstrated judgment about when a technology is ready and when it is not — including examples of work you stopped, and why.
• Proficiency with modern backend and cloud technologies (e.g., Python and/or JavaScript/TypeScript, APIs, event-driven systems, containerized deployment).
• Experience designing evaluations for non-deterministic systems, and comfort reasoning about cost, latency, and failure modes.
• Exceptional written and verbal communication skills, with demonstrated experience presenting directly to executive leadership and defending a recommendation under scrutiny.
• Ability to structure and communicate technical tradeoffs clearly to senior, non-technical audiences, and to state uncertainty plainly rather than hiding it.
• High tolerance for ambiguity, and the discipline to time-box work rather than let it expand.
• Willingness to hand work away once the question is answered, and to let another team own the outcome.
• Solid understanding of Agile and iterative delivery models.
• Deep alignment with and commitment to the WWT Core Values.
• Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent experience will be considered.

Certain states and localities require employers to post a reasonable estimate of the salary range. A reasonable estimate of the current base pay range for this position is $140,400 to $210,000 annually. Actual salary will be based on a variety of factors, inc