Senior Manager , Software Engineering

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.

We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture.

Want to join the leader in AI-powered data security?

Cohesity is seeking an experienced Senior Manager, Software Engineering to lead the team building Gaia, Cohesity’s AI RAG platform - helping customers unlock insights from vast amounts of structured and unstructured data through natural language questions.

In this role, you will lead a team of world-class engineers responsible for large-scale, production-grade AI and RAG systems spanning model serving, retrieval-augmented generation, GPU infrastructure, and distributed backend services. You will be working in close partnership with Product Management, Architects, Data Scientists, and engineering leaders across global locations and drive both execution and innovation - owning some of our most strategic technical projects, delivering systems that transform how enterprise customers derive insight from their data.

Success in this role calls for an energetic, creative and driven leader who combines strong technical judgment with the communication and organizational skills to work effectively across a global organization.

How You'll Spend Your Time Here

• 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, setting the technical bar through judgment rather than process alone.

• 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 measurably accelerate the development lifecycle, while maintaining the engineering rigor and review standards that enterprise software demands.

• 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 Success Looks Like

• Gaia revenue and adoption targets are met, with engineering delivery as a contributing driver and unblocking customer deployments.

• Retrieval and answer quality improve against a defensible, repeatable evaluation baseline that the team owns.

• AI-assisted development tooling is in routine use across the team, with a measurable effect on delivery velocity.

• The team is fully staffed and stable, with a clear development path for each engineer and a strengthened senior bench.

We'd Love to Talk to You if You Have Many of the Following

• 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, 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.

Preferred Qualifications

• 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.

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Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or recruiting@cohesity.com for assistance.

In-Office Expectations

Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location.