Director - Engineering

• Define and execute the engineering vision and roadmap for Content Commerce, aligned with JioHotstar’s product and business strategy.
• Build and lead high-performing engineering teams across platform, backend, client, data, and machine learning disciplines.
• Build systems for content and product understanding, contextual recommendations, product ranking, catalogue management, and real-time decision-making.
• Build reusable capabilities for interactive placements, product showcases, storefronts and brand integrations
• Design robust integrations with commerce platforms, advertisers, sellers, payment systems, and other ecosystem partners.
• Establish measurement and attribution capabilities to evaluate engagement, conversion, partner performance, and business impact.
• Ensure high standards of reliability, scalability, security, observability, cost efficiency, and engineering quality.
• Partner closely with Product, Design, Content, Advertising, Data Science, Business, and external partners to shape strategy and deliver outcomes.
• Navigate ambiguity and convert broad business opportunities into clear technology platforms, execution plans, and measurable milestones.
• Foster a culture of ownership, innovation, strong technical judgment, and outcome orientation

• Experience leading multiple software engineering teams and engineering managers responsible for large-scale consumer or platform products.
• Proven experience building zero-to-one products or platforms and scaling them through multiple stages of maturity.
• Strong architectural and distributed-systems experience, including high-scale, low-latency, and highly available systems.
• Strong understanding of consumer product development and the ability to balance user experience, technology, and business outcomes.
• Experience integrating with external platforms and building extensible APIs, partner frameworks, or platform capabilities.
• A strong track record of delivering complex, cross-functional initiatives involving multiple engineering and business teams.
• Ability to operate effectively in an ambiguous and rapidly evolving problem space.
• Demonstrated ability to hire, develop, and retain strong engineering talent and build effective leadership layers.
• Excellent written and verbal communication skills, with the ability to communicate technical strategy and trade-offs clearly to both technical and business stakeholders.

Bachelors/Masters in Computer Science, Computer Engineering, or Machine Learning with 13+ years of experience in software development and 5+ years in leadership roles