Product Manager - AI
Product Manager - AI
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$ 164000 - 205000
1 Vacancy
Job Description
Cohesity 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.
Weve been named a Leader by multiple analyst firms and have been globally recognized for Innovation Product Strength and Simplicity in Design.
Join us on our mission to shape the future of our industry.
Are you passionate about shaping the future of AI-powered data management and unlocking the full potential of enterprise data
Cohesity is seeking a visionary Product Manager for Gaia our pioneering AI platform that combines generative AI with your organizations most valuable data. Cohesitys vision is to empower enterprises to not only secure and protect their data but also to extract actionable insights at unprecedented speed and scaletransforming how organizations make decisions and drive business outcomes. By leveraging advanced AI techniques semantic indexing and intuitive visualization tools Gaia enables users to explore understand and interact with data across a wide range of sources including emails documents and cloud environments
Weve been named a Leader by multiple analyst firms and have been globally recognized for Innovation Product Strength and Simplicity in Design.
At Cohesity product management plays a central role in driving product development by working in close collaboration with our engineering data science and go-to-market teams. Our team works across all levels of the organization engaging with executive stakeholders directly with customers across the globe and interacting heavily with our user experience team. Youll do your best work at Cohesity with an incredibly talented team!
Were looking for a visionary Product Manager AI to drive the development of AI-powered experiences that redefine how enterprises interact with and secure their data. Youll work on next-gen solutions in LLM usability Retrieval Augmented Generation (RAG) agentic workflows and scalable operational insights tackling some of the most complex and unsolved problems in AI and enterprise software.
This is a pivotal position that will help shape Cohesitys overall AI strategy and roadmap across both its traditional customer-managed platforms and Cohesitys cloud-based SaaS platforms serving Cohesitys ever-expanding list of enterprise customers across different verticals and geographies.
Join us on our mission to shape the future of our industry.
HOW YOULL SPEND YOUR TIME HERE:
Own the lifecycle of product initiatives from inception to launch
Learn how to actually make LLMs useful for complex knowledge management
Tackle unsolved AI product and engineering problems user experiences for Retrieval Augmented Generation Agentic Workflows operational insights over huge TB datasets
Gather feedback from strategic customers to inform product direction
Define disrupting business models pricing packages & other commercial standards
Work closely with our CTO office Executives Legal and Engineering teams
Help steer the growth of our product & engineering organization
WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
5-7 years of experience in product management and/or software engineering
Technical background with a degree in Computer Science Engineering or equivalent practical experience
Deep understanding of AI/ML technologies especially LLMs vector search data catalog and intelligent agents
Experience in a B2B / commercial environment
Demonstrated ability to ship world-class enterprise software products
Big picture thinking while still delivering on the details
Ability to use both qualitative and quantitative reasoning to communicate your ideas reasoning
Ability to navigate extreme ambiguity to deliver on outcomes
Desire to do whatever it takes to make the team successful whether thats doing support testing new algorithm changes or cleaning up tickets
Nice to Have:
Background or experience in Retrieval augmented generation (RAG)
Familiarity with large-scale data infrastructure and observability tools
Previous work on AI products in highly regulated or security-sensitive industries
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 candidates 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 ourcomprehensive 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.
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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 atCOHESITY or 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.
Required Experience:
IC
Employment Type
Full-Time
