Head of AI-Driven Developer Productivity

Intuit, Inc.

Mountain View (CA)

Vor Ort

USD 222.000 - 301.000

Vollzeit

Vor 13 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Bonus potential
Equity rewards

Zusammenfassung

Intuit, Inc. is seeking an AI-native engineering leader in Mountain View to drive tax-technology platforms and the adoption of AI-assisted workflows. You will guide a large team across pods, partnering with Product and other units to align roadmaps and improve delivery.

The role emphasizes architecture, SDLC excellence, and the integration of LLM-based tooling to accelerate delivery while maintaining code quality and operational resilience.

Qualifikationen

  • Experience leading software engineering teams for backend systems.
  • Strong design and architecture capabilities with SDLC mastery.
  • Proven ability to drive AI-enabled engineering and platforms.
  • Experience with AI toolchains like LLMs and agent workflows.

Aufgaben

  • Lead a team of engineers responsible for indirect tax systems and e-filing.
  • Build strong cross-functional partnerships with Product and PMO.
  • Inspire collaboration and empower engineers to deliver high quality work.
  • Champion best practices in code quality, testing, and reviews.
  • Drive AI-native engineering and adoption of GenAI platforms.
  • Scale multi-pod teams and maintain high execution standards.

Kenntnisse

People management
Backend development
Developer Productivity
Architecture design
AI frameworks
Ambiguity navigation

Ausbildung

BSc/MSc in Computer Science

Tools

OpenAI API
Anthropic API
LangGraph

Jobbeschreibung

Intuit, Inc. is seeking an AI-native engineering leader in Mountain View to drive tax-technology platforms and the adoption of AI-assisted workflows. You will guide a large team across pods, partnering with Product and other units to align roadmaps and improve delivery.

The role emphasizes architecture, SDLC excellence, and the integration of LLM-based tooling to accelerate delivery while maintaining code quality and operational resilience.

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