Note: The job is a remote job and is open to candidates in USA. Majesco is an AI-native SaaS company serving the insurance and pension and retirement markets with intelligent cloud-based solutions. The Vice President of Product Engineering will architect and advance the company's AI-native Agentic Operating Model, lead product engineering for the V3locity platform, and drive platform modernization, engineering quality, governance, and scalable AI-enabled development. The role also oversees global engineering organization leadership and cross-functional collaboration.
Responsibilities
- Architect and evolve the technical foundations required to support an enterprise-grade, AI-native software development environment
- Advance AOM across product engineering, using agentic AI to improve engineering productivity, quality, and speed
- Establish the trusted knowledge and context infrastructure that allows AI agents to operate accurately, securely, and consistently
- Build the engineering practices required to maintain high-quality context, prevent drift, and continuously improve AI-assisted development
- Establish strong governance for enterprise AI usage, including security, model access, quality, cost, and performance
- Expand AI-enabled workflows across the software lifecycle and improve how context moves across product, engineering, services, sales, and support
- Partner with engineering leaders across Majesco to develop reusable patterns that can scale across products and teams
- Guide the development and adoption of AI agents and reusable engineering capabilities across implementation, configuration, quality assurance, automation, evaluation, and product development
- Make AI-native development intuitive and practical by connecting technical capabilities to clear business and product outcomes
- Help define and mature an agentic development lifecycle that evolves traditional software development practices for an AI-native environment
- Lead product engineering across a complex enterprise SaaS platform, balancing product enhancement, platform modernization, and ongoing product health
- Drive platform stability, release quality, scalability, and technical debt reduction while accelerating delivery through AI-enabled engineering
- Partner with Product Management to tightly connect engineering execution with customer needs, product capabilities, and roadmap commitments
- Shape the engineering AI toolchain and governance model, including agentic coding platforms, model routing, development standards, and ROI measurement
- Establish measurable engineering outcomes across productivity, quality, reliability, and speed
- Translate successful AI-native engineering approaches into reusable patterns and capabilities that can scale across Majesco
- Recruit, develop, and retain a high-performing, globally distributed engineering organization
- Develop senior engineering leaders and create clear accountability for delivery, quality, AI adoption, and engineering performance
- Build an operating environment in which AI amplifies engineering talent rather than simply adding another layer of tooling
- Drive strong collaboration across Product, Engineering, and Services to improve implementation patterns, product quality, and customer outcomes
Skills
- * 10+ years of software engineering leadership experience, including significant experience leading complex engineering organizations at the Director or Vice President level
- * Experience building or operating AI-native, generative AI, or agentic software development systems—not simply adopting individual AI tools, but redesigning engineering workflows around them
- * Deep understanding of modern LLM and AI engineering infrastructure, including context engineering, model governance, evaluation, routing, observability, security, and quality assurance
- * Proven success leading complex platform engineering in a SaaS environment
- * Experience leading globally distributed engineering teams, including teams operating across the United States and India
- * Strong command of modern software engineering environments, including agentic coding platforms, product and engineering management tools, CI/CD pipelines, automation, and structured documentation systems
- * A track record of improving engineering productivity and delivery while maintaining high standards for platform quality, security, and reliability
- * You have helped build an agentic or AI-native software development environment—not just prototyped one. You know the difference between a compelling demo and a governed production system
- * You think in compounding systems. You design knowledge and context so that each interaction improves what comes next, rather than simply completing the current task
- * You bring architectural discipline to knowledge and documentation. You understand that AI systems depend on accurate, structured, governed context
- * You have led teams through significant engineering operating-model transitions and know how to balance governance with speed
- * You can translate AI capability into measurable engineering and business outcomes
- * You communicate with the precision of an engineer and the commercial instinct of a product leader. You can move seamlessly between deep technical discussions and executive-level decisions
- * Experience in insurance technology, financial services, or another regulated industry is a plus; demonstrated AI-native engineering leadership is more important than industry background
Benefits
- Medical, dental & vision insurance
- Employer-funded HSA coordinating with a high-deductible health plan
- FSA
- Short-term/long-term disability insurance
- Life/AD&D insurance
- 401(k)
- Flexible time off
- Paid sick days
- 11 paid holidays
- Paid parental/bonding leave
- Career anniversary leave
- Other voluntary benefits
- Remote First position which can be performed from most locations in the US
Company Overview
Company H1B Sponsorship