SVP Engineering (AgenticAI)

Senior Vice President – Engineering (Digital Products & Platforms)

Experience: 20+ Years

About the Role

We are looking for a visionary Senior Vice President – Engineering to lead large-scale digital product and platform engineering initiatives across customer-facing ecosystems. This role will own the technology vision, engineering execution, platform modernization, AI adoption strategy, and operational excellence for high-scale consumer products serving millions of users globally.

The ideal candidate has a strong track record of building and scaling large engineering organizations, driving digital transformation programs, modernizing legacy platforms, and leveraging AI to accelerate business outcomes.

Key Responsibilities Engineering Strategy & Leadership

• Define and execute a 3–5 year technology and engineering roadmap aligned with business objectives.
• Drive AI-led transformation across product engineering, customer experience, service platforms, and engineering productivity.
• Partner closely with executive leadership and business stakeholders to influence strategic decisions and organizational growth.
• Lead large global engineering organizations across multiple geographies and functions.
• Own end-to-end engineering delivery for digital products, customer engagement platforms, e-commerce systems, CRM platforms, and service ecosystems.
• Ensure high-quality delivery through engineering best practices, automation, observability, and operational excellence.
• Lead modernization of legacy systems into modular, API-first, cloud-native architectures.
• Establish technology standards, governance frameworks, and engineering excellence practices.
• Drive platform scalability, reliability, security, and performance improvements.
• Lead enterprise-wide initiatives focused on modernization, automation, and AI adoption.
• Build long-term technology capabilities to support rapid business growth.

Operations & Reliability

• Ensure high system availability, resilience, security, and business continuity.
• Implement proactive monitoring, incident management, and operational governance practices.
• Oversee cybersecurity, risk management, compliance, and data protection initiatives.
• Drive operational excellence through automation and continuous improvement.
• Build, mentor, and scale high-performing engineering teams.
• Create a culture of innovation, accountability, collaboration, and engineering excellence.
• Attract and retain top engineering talent while developing future leaders.
• Lead organizational scaling initiatives and succession planning.

Required Skills & Experience

• 20+ years of software engineering experience with significant leadership responsibilities.
• Proven experience leading large-scale engineering organizations (500+ engineers preferred).
• Strong experience managing global teams across multiple locations and cultures.
• Experience driving large digital transformation and platform modernization programs.
• Deep understanding of large-scale distributed systems, cloud-native architectures, and enterprise platforms.
• Strong expertise in software engineering, system design, architecture, security, and operational excellence.
• Experience building and scaling high-volume consumer-facing products, e-commerce platforms, digital ecosystems, or large-scale web/mobile applications.
• Hands‐on technical foundation with prior software development experience.
• Experience implementing AI/GenAI initiatives across product development, customer experience, or engineering productivity.
• Strong stakeholder management skills with the ability to influence executive leadership and business teams.
• Proven track record of hiring, mentoring, and developing high-performing engineering organizations.
• Experience leading complex, multi‐year strategic technology programs.

Preferred Background

• Consumer Internet, B2C, D2C, E‐commerce, Telecom, Digital Platforms, FinTech, or large‐scale technology organizations.
• Experience managing globally distributed engineering teams.
• Exposure to AI, Agentic AI, Generative AI, automation, and modern engineering productivity platforms.
• Experience driving cloud transformation and enterprise modernization initiatives.

Education

• Bachelor's or Master's Degree in Engineering, Computer Science, or a related field.

Why Join?

• Opportunity to lead large-scale digital transformation initiatives.
• Influence technology strategy at an executive level.
• Drive AI‐powered innovation across products and platforms.
• Build and scale world‐class engineering teams delivering impact at global scale.