VP, Product Engineering

Location: India - Bangalore, India - Chennai

Time Type: Full time

Job Description

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.

As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

Job Description:
 

About the Role

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.

Core Responsibilities

1. Product Engineering Leadership

• 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

• 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.

2. Organizational Leadership & Talent Development

• 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.

3. Strategic Influence & Business Impact

• 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

What Success Looks Like (12–18 Months)

• 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

Qualifications

• 18+ years of experience in software engineering, including leadership of large-scale organizations

• 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

• Experience building and motivating large engineering teams

Why Join Uniphore

• Lead innovation in one of the most transformative areas of AI

• Build products that redefine enterprise customer experience

• Work with world-class teams solving complex, real-world problems at scale

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Location preference:

India - Bangalore, India - Chennai

Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
 
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.