Product Engineering Practice Specialist

About This Role

As a senior P&L leader, this role drives end-to-end revenue expansion across a portfolio of enterprise accounts, leveraging deep technical fluency in Product Engineering, Cloud, and AI services. The specialist will shape client technology transformation roadmaps, cultivate C-suite relationships, and architect high-impact solutions to position Wipro as a trusted innovation and engineering partner.

Responsibilities

• Lead strategic client conversations with technical depth—diagnosing business and engineering challenges and converting them into actionable AI, cloud, and product engineering roadmaps.
• Partner with Solution Architects to design end-to-end AI-driven architectures, cloud modernization plans, and engineering transformation solutions backed by compelling ROI/value propositions.
• Own the complete Lead-to-Order lifecycle, from opportunity identification to solution shaping, deal strategy, proposal development, negotiation, and closure.
• Build and expand relationships across CxO, Engineering, Product, IT, and Operations teams, establishing Wipro as the preferred engineering and AI transformation partner.
• Proactively identify and shape large-scale modernization, cloud, data, and AI transformation programs, aligning them with Wipro’s differentiated solutions and IP.
• Maintain a detailed Account Plan, including technology landscape analysis, competitor attack plan, stakeholder heatmaps, whitespace opportunities, and competitive positioning.
• Lead Steering Committees, QBRs, and delivery governance to ensure seamless execution, risk mitigation, accelerated Time to Value (TTV), and high customer satisfaction.
• Collaborate across Wipro’s global teams to bring industry use cases, GenAI accelerators, and engineering IP to clients.
• Develop a network of client champions and references who can attest to Wipro’s delivery quality, engineering expertise, and transformational impact.

Requirements

• 10+ years of enterprise technology sales with a minimum of 7+ years in Product Engineering, Cloud, and AI/ML services, selling complex, multi-tower deals.
• Strong domain knowledge across SaaS platforms, AI/ML ecosystems, Hyperscalers (AWS/Azure/GCP), Media, and Consumer Technology verticals.
• Proven ability to conceptualize and present technical proposals, including proactive solution narratives and responses to RFPs/RFIs.
• Demonstrated success in meeting or exceeding bookings, revenue, and margin quotas.
• Extensive experience driving AI and automation led transformations, including proactive modernization and consolidation programs.
• Working knowledge of GenAI, LLMOps, Agentic AI, and their application in the software development lifecycle (SDLC).
• Proven track record in building and accelerating pipeline within large, multi-stakeholder enterprise accounts.
• Strong communication skills to simplify and articulate complex cloud architectures, AI solution patterns, and engineering roadmaps.
• Bachelor’s or Master’s degree in Engineering, Computer Science, IT, Business, or related fields.
• Prior experience in a technology product company, global systems integrator, or digital consulting firm.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, IT, Business, or related fields.
• 10+ years of enterprise technology sales with a minimum of 7+ years in Product Engineering, Cloud, and AI/ML services, selling complex, multi-tower deals.

Nice to Have

• AI / Cloud certifications (AWS, GCP or Azure)

Skills

* Required skills

Benefits