Velotix
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About
Velotix is an AI-driven data security platform that helps businesses manage data access and governance. It offers features like data discovery, policy-based access control, AI recommendations, and a self-serve data access workflow. The platform integrates with various BI tools, cloud providers, and data catalogs. Velotix aims to unite data and governance, maximizing business value while minimizing security risks. The platform also boasts a Gen AI feature, described as the world's first conversational data security platform.
Platform
Task
Features
• data discovery
• ai recommendations
• policy based access control
• gen ai
• self serve data access
• permissions discovery & analysis
FAQs
How does Microsoft Azure ensure data security?
Securing and managing volumes of data is a critical challenge for most businesses. Meeting compliance...Read More
How Can I Ensure Data Privacy With a Data Security Platform on AWS?
A common feature of many web applications is allowing users to sign in and manage their personal data. Banking sites, healthcare portals, and eCommerce sites are just a few of the apps that collect, store, and use financial information, health records, and credit card details. While all applications that collect personally identifiable information (PII) must meet strict security requirements and regulatory compliance standards, we know that sensitive data is far too often exposed in multiple ways. Read More
How Do You Prevent Sensitive Data Exposure?
A common feature of many web applications is allowing users to sign in and manage their personal data. Banking sites, healthcare portals, and eCommerce sites are just a few of the apps that collect, store, and use financial information, health records, and credit card details. While all applications that collect personally identifiable information (PII) must meet strict security requirements and regulatory compliance standards, we know that sensitive data is far too often exposed in multiple ways. Read More
How Do You Find Broken Access Control Vulnerabilities?
Security breaches occur when one or more users find a way to access data and systems they’re not authorized to enter. Most systems include some form of access control, yet it isn’t always effective, leaving data vulnerable to attack. Broken access control vulnerabilities arise when a data system fails to adequately restrict access, posing a significant security threat to sensitive information. Read More
How is a Data Security Platform Different From Data Security Posture Management?
The need to secure data is now one of the top—if not the top—concerns for enterprises. But how do you secure critical business, customer, and regulated data if you don’t know where it is, especially when digital transformation often means your data resides in various corners of the cloud? Read More
What Are the Best Practices for Data Migration to Google Cloud With a Data Security Platform?
Migrating to the Google Cloud Platform (GCP) requires extensive planning to ensure sensitive data is correctly identified, protected, and transferred. While an AI data security platform like Velotix streamlines data access, simplifies compliance, and makes unlocking your data’s full potential easier, its success depends greatly on organizational policies and best practices focusing on security and efficient resource utilization. Read More
How Can I Secure Sensitive Data In Cloud Environments?
Life in the cloud moves faster than anyone imagined just a year ago. And data protection in the cloud has grown ever more complex. Although many organizations have been using cloud-based solutions for years now, they often struggle to adequately monitor, manage, and secure their cloud infrastructure and protect sensitive data. Misconfiguration, distributed workloads, exfiltration of sensitive data, and multi-cloud deployments are just some of the challenges enterprises face as they try to secure cloud access and ensure compliance. Read More
Can Collibra Be Integrated With a Data Security Platform?
As organizations grow, the data they collect grows, too. Proper data management enables scalability and ensures data systems can handle increased volumes without sacrificing performance, quality, or security. With over 80% of users saying the potential risks from companies collecting their data outweigh the benefits, data privacy risk management is a priority for every company. Robust data management supports business expansion, plays a critical role in maintaining customer trust, and helps organizations adhere to stringent data protection regulations. Read More
What Are the Benefits of Using AWS With a Data Security Platform?
Data security has undergone significant transformation in recent years. Initially focused on strengthening infrastructures, it now emphasizes defending against complex digital cyber threats. As organizations seek ways to prevent ever-more sophisticated cyberattacks and address escalating data privacy concerns, they’re turning to cloud-based platforms that integrate with tools like Amazon’s AWS data security platform to protect their data. AWS offers dynamic, policy-based data management and robust encryption that ensures protection in digitally vulnerable environments. Read More
How Does a Data Security Platform Integrate With Google Cloud?
The groundbreaking nature of Google Cloud Data Security lies in its advanced technology, scalability, and commitment to meeting stringent privacy and compliance standards. Its vast global infrastructure uses AI and machine learning for threat detection and response and provides a secure foundation for data storage and processing. Read More
Job Opportunities
Product Manager
AI-driven data security platform that unifies data governance and access, maximizing business value while minimizing security risks.
Education Requirements:
Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Information Technology)
Experience Requirements:
Proven experience in product management or related roles, with a minimum of 3 years in B2B software
Other Requirements:
Experience working with various database technologies. Database administration/security is a plus
Experience managing security products or IT operations products is a plus
Strong understanding of data governance and privacy regulations is preferred.
Exceptional communication and presentation skills, with the ability to articulate complex concepts to diverse audiences.
Analytical mindset with strong problem-solving abilities.
Self learner – ability to independently learn new technologies
Past coding experience is a plus
Responsibilities:
Product Strategy: Develop and refine the product vision and strategy in line with market trends and customer feedback. Stay abreast of industry advancements to drive innovation within Velotix’s product portfolio.
Customer Insights: Partner with sales and marketing teams to gather insights into customer needs and pain points. Conduct market research and engage with customers to understand their evolving requirements.
Roadmap Planning: Work closely with R&D teams to translate market insights into actionable product features and enhancements. Define and prioritize the product roadmap to deliver maximum value to our customers.
Cross-functional Collaboration: Collaborate with sales, engineering, and support teams to ensure seamless execution of product initiatives. Champion a customer-centric approach across all stages of the product lifecycle.
Feature Development: Lead the ideation, design, and development of new product features. Work closely with engineering teams to ensure timely delivery and high-quality implementation.
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Senior Account Executive New Business
AI-driven data security platform that unifies data governance and access, maximizing business value while minimizing security risks.
Education Requirements:
Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Information Technology)
Experience Requirements:
5+ years experience with enterprise solution selling
Sales experience in or in-depth knowledge of enterprise software and services
Proven experience and track record in new business and prospecting
Other Requirements:
Outstanding verbal, written, organizational, and interpersonal skills
Experience selling into one of the following areas is highly beneficial: Financial Services, AI, Machine Learning, data governance, Reporting and Analytics, Database Technology and data management tools
Ability to work both independently and remotely, and as a part of the Velotix team
Evidence strong sales lifecycle cadence and execution
Strong technical knowledge of the company’s industry is preferable
Excellent communication and presentation skills.
Ability to translate complex technical concepts into simple, understandable language for non-technical stakeholders.
Strong problem-solving and analytical skills.
Customer-focused and able to build strong relationships.
Willingness to travel as needed (if applicable).
Knowledge of relevant technology architecture related to data management
The ability to orchestrate ‘value engineering’ exercises – taking the customers business problem, overlaying Velotix solutions and thereby determining the value of our solution adoption
Based on the East Coast of USA
Responsibilities:
Define sales strategies and territory plans by working collaboratively with the sales and marketing leadership
Execute customer-centric meetings, presentations and product demonstrations (if that’s what you like and are technically minded) both virtually and in person with key decision-makers and influencers
Develop high impact proposals with Solution Consulting which articulate Velotix’s differentiated solution, market leading agenda & unique value based on AI, and soon Gen AI
Manage and support all aspects of the lead to close process
Build and execute a sales plan to achieve revenue targets on a quarterly and annual basis
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AI Product Architect
AI-driven data security platform that unifies data governance and access, maximizing business value while minimizing security risks.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD is a plus
Experience Requirements:
Minimum 5 years of experience in AI/ML development and implementation.
Proven track record of designing and launching AI-powered products.
Experience in product architecture and design.
Extensive experience with GenAI / Large Language Models (LLMs) and their applications
Other Requirements:
Proficiency in programming languages such as Python, R, Java/Scala, or C++.
Strong understanding of machine learning frameworks (e.g. TensorFlow, PyTorch)
Experience with LLMs (e.g., GPT, BERT) and natural language processing (NLP) techniques – Must.
Knowledge of data processing and analysis tools.
Excellent communication and collaboration skills.
Strong problem-solving abilities and strategic thinking.
Ability to work in a fast-paced, dynamic environment.
Leadership and mentorship capabilities
Responsibilities:
AI Strategy Development: Define and implement the AI strategy aligned with our product vision and business goals.
Feature Design: Conceptualize, design, and oversee the development of innovative AI features and solutions.
Research and Innovation: Stay abreast of the latest AI trends, technologies, and best practices to continuously innovate and improve our products.
Technical Leadership: Provide technical guidance and mentorship to the AI and engineering teams.
Project Management: Oversee the end-to-end lifecycle of AI projects, from ideation to deployment, ensuring timely delivery and quality.
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