Salman Siddiqui — Director of Engineering

Salman is an accomplished engineering and product leader with 20+ years of experience in creating and scaling high-performing distributed systems. As Director of Software Engineering and Product Management at Amazon, he leads the TimeHub organization, overseeing mission-critical systems powering Amazon's global operations. He manages a cross-functional team of 300+ members across India and the US, including Principal Engineers, Senior Engineering Managers, Principal TPMs, Applied Scientists, and Principal Product Managers. His team's work is on the critical path of Amazon's operations, ensuring reliable performance of systems used by millions of employees and customers daily. Salman drives the development of multiple AI and Large Language Model (LLM) based systems while evangelizing AI adoption across the organization. He focuses on improving builder productivity through strategic implementation of these technologies. He has led the ground-up development and launch of marquee products like the AI-based AtoZ Assistant (Aza AI) and the Aza Agentic AI platform enabling business and personal automations. Known for solving complex problems, driving innovation with AI and emerging technologies, and developing exceptional talent, Salman has a proven track record of building and scaling large engineering and product organizations, creating robust architecture roadmaps, and delivering on strategic business plans. He previously scaled Amazon's ConcessionsTech business by 3x in a year, positively impacting a $600+ million USD P&L. Core expertise: • Strategic leadership of large-scale technical organizations • AI application development and organizational AI adoption • Cross-functional team leadership and talent development • Technical innovation in AI-driven operational environments • Enterprise-scale system architecture and implementation Salman holds an MBA with dual major from Indian School of Business (ISB), Hyderabad, and a Bachelor of Engineering from Manipal Institute of Technology, along with multiple certifications and patents. He is passionate about building high-performing teams that deliver exceptional results while maintaining Amazon's high bar for technical excellence, with focus on leveraging AI to transform how teams work and deliver value.

Stackforce AI infers this person is a leader in AI-driven enterprise solutions with extensive experience in large-scale system architecture.

Location: Hyderabad, Telangana, India

Experience: 21 yrs 4 mos