MBA (Masters of Business Administration) Intern

Full time
Remote
Compensation is not specified
Role
Business Development
Description

We are seeking talented students in the Masters of Business Administration program to join us in revolutionizing the cloud, data, AI, and web3 space. As an MBA Intern, you will have the opportunity to work closely with experienced business associates and strategists to develop and implement our products. This internship can also count towards your industry experience requirement. The internship is paid and will last anywhere from 2 to 12 weeks. Joining our team will provide you with the chance to unlock your career potential, receive competitive compensation, and participate in exciting cash prize competitions.

At Openmesh and Xnode, we understand the negative impacts of a small number of corporations controlling the majority of the world's data and IT infrastructure. We believe in challenging this status quo and creating a more equitable and transparent system. Openmesh is an open-source cloud infrastructure and global data network designed to store important data without intermediaries. It covers a significant portion of the crypto and web3 ecosystem, with plans to expand into sectors like public health and scientific research. Openmesh allows anyone to create decentralized data clouds, securely share data, and streamline data cloud setup and deployment.

Our flagship product, Xnode, provides developers with a platform to build their own decentralized data clouds quickly and efficiently. It offers data connectivity, APIs, and analytics engines, resulting in significant cost and time savings compared to traditional methods. Pythia, another product we offer, is a powerful analytics and query engine that transforms raw data into actionable insights. Additionally, our Unified APIs provide a single access point for all crypto and web3 data, making it easily accessible and cost-effective.

Our vision is to democratize data and address information asymmetry. We believe that access to reliable and unedited information is crucial for a free and democratic society. With Openmesh, data is distributed without any single authority controlling or altering it. Our infrastructure and technology stack are open-source and driven by an open-source community.

As an intern at Openmesh, you will have numerous opportunities to learn and grow. Aside from fulfilling your industry experience requirements, you will gain exposure to groundbreaking innovations in Data, Cloud, Blockchain, AI, and Web3 Infrastructure. Engage with our visionaries, senior engineers, and product owners, and discover the reality of your dream job. We offer access to our open-source technology, hackathons, virtual conferences, mentoring sessions, workshops, and the chance to apply your skills in practical scenarios. You can choose to work in-person or remotely. Standout interns may even receive a full-time job offer.

Your responsibilities as an intern will include supporting business strategy development and implementation, analyzing market trends and competitors, contributing to project management, and collaborating with cross-functional teams.

To qualify for this position, you should be currently pursuing or have completed an MBA degree. Strong business acumen and analytical skills are essential, as well as excellent communication and interpersonal abilities. You must also be comfortable working in a dynamic and fast-paced environment.

By joining our team, you will have the opportunity to lead a revolutionary product that is transforming data management and accessibility. Collaborate with a global community of innovators in the decentralized space while making a significant impact on how data is accessed and utilized worldwide. We offer a dynamic and rewarding work environment, competitive compensation, and a range of benefits.

In addition to your academic skills, we are primarily interested in the qualities that make you unique as an individual. Please highlight any outside interests, achievements, or personal qualities that you believe will contribute to the team.

Skills Required
Avatar
Openmesh Network
Company size
Not specified
Location
United States
Description
Not specified

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Remote-friendly distributed team
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Portfolio/Resume - Detailed work history and relevant projects
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Description
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Working at Target Mafia
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San Francisco, USA
Full time
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DLP & Incident Response Engineer

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Asia +1
Full time
Remote
Binance, a prominent global blockchain ecosystem known for its role as the world's largest cryptocurrency exchange, is seeking a security engineer proficient in Data Loss Prevention (DLP) and incident response, particularly in fintech, crypto, or high-security sectors. This role involves creating and implementing custom solutions, utilizing automation, and staying ahead of emerging threats like those stemming from recent AI advancements.

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Design, implement, and optimize DLP solutions spanning network, endpoint, and cloud environments.

Develop and enhance data classification systems for sensitive assets such as wallets, trading algorithms, and customer PII.

Create effective DLP policies to prevent data breaches while minimizing false positives.

Monitor, analyze, and improve alerts and incident responses continually.

Lead investigations into DLP incidents and insider threats.

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Requirements

Minimum of 4 years in a SOC or security operations role focusing on incident response.

Demonstrated expertise in DLP design, implementation, and monitoring.

Proficient in programming languages like macOS Swift, Unix socket programming, and scripting.

Hands-on experience in threat hunting, forensic analysis, and APT detection.

Familiarity with SIEM, EDR, and cloud security infrastructures.

Understanding of encryption, tokenization, and data classification methodologies.

Nice-to-Have

Over 4 years in a SOC or security operations role centered on incident response.

Established background in DLP design, deployment, and monitoring.

Strong programming skills in macOS Swift, Unix socket programming, and scripting.

Practical experience in threat hunting, forensic analysis, and APT detection.

Knowledge of SIEM, EDR, and cloud security architectures.

Familiarity with encryption, tokenization, and data classification techniques.

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