Description
EGNYTE YOUR CAREER. SPARK YOUR PASSION.
Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected.
With 22,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values :
Invested Relationships
Fiscal Prudence
Candid Conversations
ABOUT EGNYTE
Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content.
Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere.
For more information, visit .
THE OPPORTUNITY
You will be responsible for a range of product management functions to help deliver critical Machine Learning and AI capabilities for Egnyte products.
You will need to leverage ML / AI to ensure the success of Egnyte products’ by focusing on adoption and usability.
WHAT YOU’LL DO
- Create Generative AI powered applications to analyze complex data respond to common queries and perform tasks for industry-specific use cases
- Leverage AI to solve specific business challenges faced by our customers
- Work with leadership, customers and prospects to define the problems and solutions with AI
- Work closely with UI / UX, Engineering and cross-functional teams and deliver with quick time-to-market solutions
- Define key business metrics and track them
YOUR QUALIFICATIONS
- 5+ years of product management experience
- Knowledge and experience with Machine Learning and AI concepts such as NLP, etc. is preferred
- Experience working with Financial Services as a plus
- Experience working and guiding product and engineering teams distributed globally
- Experience building enterprise SaaS software for technical users & buyers
- Demonstrated experience in working directly with customers for demos, requirements gathering and sales support.
- Strong technical background. Prior experience in a software engineering role is desired
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