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Join us at Uniphore as we build the future of Business AI.
We are seeking a Vice President of Product Engineering to lead the strategy, execution, and evolution of our AI-first product portfolio. This leader will combine strong organizational leadership with sound technical background in building AI systems , especially Conversational AI products, driving the development of scalable, enterprise-grade platforms powered by Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), and advanced conversational AI technologies like Multi-language Speech-to-Text (ASR), Text-to-Speech (TTS), Transcriptions, etc.
You will partner closely with Product, Data Science, and GTM leaders to deliver impactful, customer-centric innovations—while building and scaling a high-performing, globally distributed engineering organization.
Own end-to-end delivery of AI-driven SaaS products—from concept to production and scale
Build, lead, and develop a multi-layered engineering organization, including Directors and senior leaders
Drive execution excellence, improving velocity, predictability, and quality across teams
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Partner with Product, Design, and Customer Success to define roadmaps aligned with customer and market needs
Ensure strong engineering fundamentals across development, testing, release, and operations in a multi-cloud SaaS environment.
Build and mentor a high-performing global engineering organization
Hire and develop senior leaders, fostering a strong leadership bench
Create a culture of innovation, accountability, and continuous learning
Enable effective collaboration across Engineering, Product, and Data Science teams
Proven people leadership, across an engineering site with a combined direct and matrixed structure, promoting culture and team spirit.
Partner with executive leadership to define long-term product and technology strategy
Identify opportunities to leverage emerging AI technologies for competitive advantage
Represent engineering in key business decisions and stakeholder engagements
Balance near-term delivery priorities with long-term platform and AI investments
Scaled a strong engineering organization with capable senior leadership layers
Delivered multiple high-impact AI-driven product capabilities
Established a reusable AI and data platform supporting multiple products
Improved engineering velocity, quality, and operational excellence
Strengthened alignment across Engineering, Product, and customer outcomes
Proven experience delivering multi-cloud SaaS Products including some conversational AI experience (ASR, TTS, Transcriptions)
Experience leading multi-level organizations, including managers and senior leaders
Track record of building and scaling enterprise SaaS platforms (cloud-native)
Strong cross-functional leadership and executive communication skills
B2B AI software company providing enterprises with a secure platform for data, models, and AI agents.
Visit company websiteJobs and hiring trendsFull-time
Senior · 18+ years experience
Onsite
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