Senior Manager, Software Engineering - Employee Productivity
NVIDIA Corporation (company site, opens in a new tab)12+ yrsPuneOn-siteDirect career pageEst. 45–85 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and grow a high-performing engineering team building AI-powered employee productivity products across web, native mobile, and agentic AI interfaces.
- Own engineering vision, architecture, multi-quarter roadmap, and operational health for a global employee productivity platform integrating HRIS, identity, collaboration, and knowledge systems.
- Drive delivery of personalized search, content, workflow powered by LLMs and agentic AI, ensure product reliability, security, privacy, accessibility, and responsible AI are incorporated throughout.
Minimum Requirements
- 12+ years software engineering experience with at least 6 years managing engineering teams.
- Degree required: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field, or equivalent experience.
- Demonstrated success delivering consumer-grade web or native mobile products at enterprise scale.
- Strong experience with full-stack distributed systems, applied AI technologies (LLMs, agentic systems), cloud infrastructure, CI/CD, security, privacy, and compliance.
Ideal Candidate Profile
- Experienced leader with proven ability to hire, mentor, and grow senior engineering talent in AI-enabled product teams.
- Strategic thinker who can define and execute engineering architectures and roadmaps for large-scale, integrated employee productivity platforms.
- Hands-on technical leader familiar with integrating HRIS and productivity ecosystems, building AI safety and governance frameworks, and scaling engineering organizations in fast-growing environments.