VP, Product Engineering

Uniphore

Vice President of Product Engineering leading strategy and execution for AI-first products at Uniphore. Building scalable platforms powered by Large and Small Language Models and advanced conversational AI technologies.

Posted 7/28/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in delivering AI-driven SaaS products and leading multi-layered engineering organizations. Proven ability to drive execution excellence and foster a culture of innovation and accountability while leveraging emerging AI technologies.

Highest-signal resume keywords

18+ Years Of Experience In Software EngineeringMulti-Cloud SaaS Product DeliveryConversational AI ExperienceCross-Functional LeadershipBuilding And Motivating Large Engineering Teams

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI-Driven SaaS Product DeliveryCloud-Native Platform DevelopmentMulti-Cloud Environment ManagementEngineering FundamentalsTesting And Release ManagementData Science CollaborationEmerging AI Technologies

Soft Skills

LeadershipExecutive CommunicationMentoringCollaborationInnovation

Industry Keywords

SaaSConversational AIASRTTSTranscriptionsEnterprise Platforms

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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.
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
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

Requirements

What you’ll need

18+ years of experience in software engineering
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

Benefits

Comp & perks

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