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Tier-1 brand, metro location, generalist senior engineering manager role, and mid-career experience amplify competition.
Role demands platform and devtools leadership and cloud expertise, limiting cross-industry transferability.
Explicit 5+ years management, mandatory platform/Kubernetes/cloud and leadership skills increase shortlisting rigidity.
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Lead and own the Workspace Engineering India team through architectural transformation and AI-first development adoption, delivering critical platform capabilities for Salesforce Core engineers.
Drive AI-driven development practices and integrate AI models to enhance team velocity and developer workflows.
Partner with product, architecture, and platform teams to define and execute roadmaps for key platforms, while managing a 12+ engineer team including performance reviews and talent retention.
5+ years of engineering management experience in fast-paced, high-growth environments.
Proven leadership of distributed platform or developer tools teams with end-to-end ownership.
Strong knowledge of cloud infrastructure (AWS, GCP), containerization (Docker, Kubernetes), and AI-native development tools (LLM integrations, agent orchestration, MCP frameworks).
Work Experience Required: 5+ years engineering management experience.
Experienced strategic leader combining deep technical expertise and people-centric coaching to lead cross-timezone autonomous teams.
Skilled at integrating AI-first engineering cultures within developer platforms and driving strategic platform evolution.
Effective communicator with data-driven decision-making ability, capable of liaising across technical, product, and executive stakeholders.