Top Tech Jobs & Startup Jobs in Boston, MA

The role involves assisting customers with cybersecurity initiatives, enhancing security programs, and delivering high-quality reports and presentations. Candidates need experience in IT security consulting and communication skills.

As a Cryptography Engineer, you will design and maintain cryptographic solutions, manage TLS lifecycle, integrate HSMs, and automate cryptographic operations, while providing technical leadership and mentoring junior engineers.

In this role, the Sales Engineer will support the sales cycle for NG-SIEM by managing technical relationships, providing technical insights, and collaborating with sales and engineering teams to expand market presence and customer satisfaction.

Responsible for leading a sales team to develop and execute account strategies for Cloud Security, drive revenue growth, and manage relationships with major clients.

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

Manage 60-70 Enterprise accounts, develop account strategies, negotiate agreements, engage key decision-makers, and collaborate with cross-functional teams to drive sales.

As a GenAI Engineering Intern, you will develop proof-of-concept GenAI solutions for internal workflows, collaborating with internal stakeholders and reporting to the AI Strategy manager on project progress.

The role involves leading the Public Sector legal team, advising on government contracting and software licensing, and managing legal risks.

Lead a team of consultants to deliver CrowdStrike's Falcon products, focusing on Endpoint, Identity, and Cloud Security. Drive customer engagement, manage project delivery, and enhance service offerings while mentoring team members.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.