VP, AI-Driven Software Engineering

Optimizely; Austin (TX); On-site; USD 190,000 - 280,000; Full time

Job summary

Optimizely, based in Austin, TX, seeks a VP of Software Engineering to realize product vision across core lines with a focus on AI-enabled development. You will lead engineering, drive operational excellence, and shape strategy across multiple product areas.

You will champion AI-assisted development practices, ensure scalable tooling, and own the internal operating model for Engineering. Candidates bring deep leadership, technical depth, and a history of delivering results at scale.

Qualifications

• Proven history implementing significant software development programs.
• Hands-on experience adopting and scaling AI coding tools.
• Familiarity with AI development tooling landscape including LLM-powered assistants and automated testing/review tools.
• 5+ years of career experience as a software engineer.
• 12+ years in engineering management.
• Strong track record in running or improving engineering operations.

Responsibilities

• Champion AI-assisted development and tooling adoption across engineering teams with measurable impact.
• Define and drive engineering-wide metrics and health monitoring.
• Lead cross-team retrospectives and process reviews to deliver durable improvements.
• Drive internal engineering improvement initiatives: productivity tooling, onboarding quality, knowledge sharing.
• Partner with the CTO to improve engineering structure, delivery, and outcomes.

Skills

Software engineering

Engineering management

Cross-functional collaboration

AI tooling adoption

Leadership

Education

Bachelor's Degree in Computer Science or Engineering

Tools

GitHub Copilot

Claude

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Job description

Optimizely, based in Austin, TX, seeks a VP of Software Engineering to realize product vision across core lines with a focus on AI-enabled development. You will lead engineering, drive operational excellence, and shape strategy across multiple product areas.

You will champion AI-assisted development practices, ensure scalable tooling, and own the internal operating model for Engineering. Candidates bring deep leadership, technical depth, and a history of delivering results at scale.