Senior Manager , Software Engineering

Overview

Lead a team of engineers building Gaia, Cohesity's AI RAG platform, which lets enterprise customers draw insights from structured and unstructured data through natural language questions.

What you'll do

• Build, lead, and grow high-performing engineering teams.
• Collaborate with Product Management and Architects to define roadmaps and translate strategy into execution.
• Lead development of AI-powered search, indexing, data retrieval, RAG workflows, and enterprise data intelligence.
• Participate directly in architecture and design review for the team's critical components.
• Establish engineering best practices including code quality, testing, CI/CD, and operational excellence.
• Drive adoption of AI-assisted development tools (Claude Code, Cursor, and similar) to accelerate the development lifecycle while maintaining engineering rigor and review standards.
• Partner with cross-functional teams across engineering, security, support, and customer success.
• Mentor senior engineers, fostering a culture of accountability, inclusion, and continuous learning.
• Manage planning, staffing, resource allocation, and delivery commitments.

What you'll need

• BS/MS in Computer Science or a relevant technical field.
• 10+ years of hands-on software engineering experience in planning, architecting, and delivering high-quality products.
• 5+ years of building, managing or leading high-performance development teams.
• Knowledge of agile/scrum methodologies.
• Domain expertise in relevant areas such as distributed systems, platform, storage, data management products, data pipelines/ETL, or Kubernetes.
• Experience driving engineering execution across geographically distributed teams.
• Excellent communication, stakeholder management, and organizational leadership skills.
• Proven track record of hiring, developing and retaining strong engineers.

Nice to have

• Experience building AI/ML, GenAI, RAG, semantic search, or enterprise knowledge platforms.
• Familiarity with LLMs, vector databases, embeddings, AI orchestration frameworks, and intelligent retrieval systems.
• Experience with large-scale data platforms or data protection, storage, security, search technologies.
• Background shipping on-premises or hybrid products with formal support and release lifecycle commitments.

Details

• Location: Bangalore, India (Office).
• In-office expectation: employees within a reasonable commute work out of core offices 2-3 days a week of their choosing; candidates located outside the area should be committed to relocating before their start date and have the legal right to work in the job location.