- Job Type: Full-Time
- Function: Product Mangement
- Industry: Enterprise
- Post Date: 05/29/2026
- Website: cohesity.com
- Company Address: 300 Park Ave, Suite 1700, San Jose, California 95110, US
About Cohesity
We’re on a mission to radically simplify how organizations secure and manage their data, while unlocking limitless value. As a leader in data security and management, we make it easy to secure, protect, manage, and derive value from data—across the data center, edge, and cloud.Job Description
Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.
Cohesityopens in a new tab is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.
We’ve been named a Leader by multiple analyst firms and have been globally recognizedopens in a new tab for Innovation, Product Strength, and Simplicity in Design.
Join us on our mission to shape the future of our industry.
Requirements:
This is a hybrid role and the expectation is that you will work out of the Santa Clara office 2 to 3 days a week.
Have experience building a Gen AI Platform from beginning to end.
This is a rare role. You will be among the first product managers in the industry to own a
platform built from the ground up for agentic AI — not a product that has added AI features, but
one designed entirely around agents that act on behalf of users, coordinate with each other, and
deliver measurable outcomes at scale.
Cohesity sits at a unique intersection: a market-leading data management and security platform
with over 10,000 enterprise deployments. The
agentic AI platform you will own is a top company priority, built on top of that installed base, and
visible at the highest levels of the organization. This is not a side project. It is where Cohesity is
going.
For a PM early in their career with a strong grasp of AI — how models work, where agents
succeed and fail, what makes agentic systems trustworthy in enterprise environments — this is
the platform to grow up on. You will work directly with ML engineers, architects, and company
leadership.
HOW YOU'LL SPEND YOUR TIME HERE:
The platform sits at the frontier of two shifts happening simultaneously in enterprise AI. The first
is the move from human-to-AI interactions — users querying, asking, and directing — toward
agent-to-agent workflows where AI systems coordinate, delegate, and execute across complex
multi-step tasks without human involvement at every step. The second is the move from AI that
recommends to AI that is accountable for outcomes.
Most enterprise AI today is advisory. A user asks a question, an AI surfaces an answer or a
suggestion, and a human decides what to do with it. That model has real value, but it does not
change the economics of how work gets done. Agentic AI does. When a system can take a
goal, break it into tasks, coordinate specialized agents to execute each one, verify the result,
and loop back to a human only for the decisions that genuinely require judgment — that is a
different kind of product.
You will define what that looks like on a platform used by some of the world's largest
enterprises, in environments where the stakes are high and trust in automation has to be earned
deliberately.
WE'D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
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3 to 5 Years of experience of working on AI solutions as a product manager
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Experience working with Human-to-agent and agent-to-agent workflow design
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Having a deep understanding of Trust, autonomy and evaluation of systems
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Experience building AI Platforms in an enterprise environment
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BS in Computer Science
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MBA and from a leading business school would be a plus
#LI-LM1
Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
Pay Range :
The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.
Data Privacy Notice for Job Candidates:
For information on personal data processing, please see our Privacy Policyopens in a new tab.
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.comopens in a new tab 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.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.