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Senior, niche AI leadership reduces candidate density despite metro location.
Deep conversational AI and enterprise SaaS leadership needs limit cross-industry transferability.
Explicit 18+ years requirement and specific conversational AI enterprise experience enforce strict filtering.
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Lead end-to-end delivery and scaling of AI-driven SaaS products leveraging Conversational AI technologies like ASR, TTS, Transcriptions, LLMs, SLMs, and RAG.
Build and manage a global, multi-layered engineering organization including senior and director-level leaders, driving execution velocity, quality, and predictability.
Partner with Product, Data Science, and executive leadership to define long-term product and AI technology strategy aligned to customer needs and market demands.
18+ years of software engineering experience with leadership roles in large-scale organizations.
Proven experience delivering multi-cloud cloud-native SaaS products, including some Conversational AI product experience (ASR, TTS, Transcriptions).
Experience managing multi-level engineering structures including senior leaders and managers.
Location preference explicitly mentioned: Bangalore or Chennai, India.
Senior engineering leader with strong organizational leadership and demonstrated ability to build and scale enterprise SaaS platforms leveraging advanced AI technologies.
Experienced in cross-functional collaboration with Product, Data Science, and GTM to deliver customer-centric AI innovations in conversational AI domain.
Strategic operator balancing near-term delivery with long-term platform investments and capable of representing engineering in executive business discussions.