Description Position Description: Protect is Egnyte’s enterprise content governance product, featured in the 2018 Forrester WAVE for File Analytics Providers and the 2018 Gartner Market Guide for File Analysis. Protect integrates with cloud and on-premises repositories and provides a comprehensive data mapping for compliance with data privacy regulations like GDPR. As a Senior Product Manager for Protect, you will define the roadmap for its core data classification capability and work actively with a team of engineers to execute the product vision. You will socialize the roadmap with key stakeholders, customers and executive management teams and coordinate day-to-day activities of a highly agile team. Specific Responsibilities will include: Work as part of the team that develops Egnyte Protect’s product roadmap Collaborate with engineering, QA and support teams on product releases Capture customer compliance needs, drive product roadmap, and requirements documents The successful candidate will need: 3-5 years of Product Management experience Strong knowledge of Software, SaaS, and services business models Demonstrated success driving design, development and implementation of new product functionality. Excellent written and verbal communication skills Highly self-motivated and willingness to adapt to a rapidly evolving customer landscape BS or MS in Computer Science, MBA a plus Experience working in the Security space (particularly in DLP or CASB products)
Whom we are looking for: After becoming a sustainable Startup, We have now refocused our Technology teams to work exclusively on client technologies while embarking on the journey of multi-tenant, friction-less, global, cloud-based & scalable products. We are currently re-engineering and rebranding our Startup to take the next leap. If you have worked on large scale tech products, have keen professional pride in delivering top quality products to users and love to code and can coach/mentor and upskill other engineers then you will love this position. If you have worked either in Reg-Tech and/or Risk-Tech, there is a big chance we are made for each other. Our Hiring Philosophy: • Can do Attitude. • Learning/Growth Mindset. • Willing to start small and build a talented team along the way. • Commitment to Excellence and Dedication. Roles and Responsibility: • Lead the entire back-end and front-end technology team and act as the go-to resource with in-depth knowledge of technology and product best practices and standards. • Build scalable backend product architecture that scales through millions of transactions per day. • Build support systems for monitoring, billing, administration, etc. • Acting as a single person of contact for the entire product vertical and liaising with the business team to aid the business needs. • Directly Responsible for the user experience on the platform. Willingness to learn new technologies as required and able to incorporate machine-learning, AI and Big data as the product evolves. • Responsible for validating the technical feasibility of product ideas, and suggesting likely technical platforms and build-buy options for such ideas. • Plan and set up a smooth development cycle for getting features from user stories to products. • Responsible for building deep tech products related to Face Biometrics, Image Forensics, and Risk Analysis. Skills Required: Must have: • Candidate with minimum 5-10 years of solid tech experience, preferably in a growing Start-up. • Proven Experience in leading the full cycle of mobile (Android/IOS) and web application development processes, from design to implementation. • Well-versed with tech stacks like Node, Python, Java and/or other latest languages. • Proven ability to build a solid team and thrive in a dynamic environment. • Experience with performance testing and optimization of the application for maximum speed and scalability. • Great analytical skills, data-driven decision making and evolution with technology trends. • Stronghold in backend development and algorithms. • Experience with Machine Learning and Data Analysis. Good to have: • Exposure to financial risk modeling is a plus. • Exposure to Image Processing is a plus. • Exposure to the blockchain is a plus. The right candidate should be commercially knowledgeable (business acumen) and pragmatic, and have an understanding of a wide range of technologies and methodologies, and should have the ability to choose which fits best. Experience building a technology team or work with a small team from start at a start-up is a plus.