Senior Manager, AI & Data Engineering - Cybersecurity

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Engineering - AI and Data Team Manager based in United States.

This role offers the opportunity to lead the development of advanced AI and data solutions that enhance modern cybersecurity capabilities.

You will guide a talented team of engineers and data scientists in building scalable machine learning systems, intelligent automation, and data-driven platforms.

The position combines hands-on technical leadership with team management, allowing you to shape architecture, engineering practices, and product innovation.

You will work on complex security challenges by applying AI, ML, and data engineering expertise to create impactful solutions.

The ideal candidate will thrive in a fast-moving environment where technical excellence, collaboration, and continuous improvement are highly valued.

This is a fully remote leadership opportunity for an experienced engineering professional passionate about AI-powered security innovation.

Accountabilities

The Manager, Engineering - AI and Data Team Manager will be responsible for driving the technical strategy, execution, and growth of AI and data initiatives while leading a high-performing engineering team. This role requires a balance of deep technical expertise, strategic thinking, and strong people leadership to deliver secure, scalable, and impactful solutions.

• Define and execute the technical roadmap for AI, machine learning, and data systems, ensuring alignment with business objectives and product requirements.
• Lead, mentor, and develop a team of data scientists and ML engineers while fostering a culture of innovation, accountability, and continuous learning.
• Oversee the full lifecycle of AI and ML solutions, including architecture, development, deployment, monitoring, and optimization.
• Guide the creation of scalable data pipelines, model training processes, and AI-powered applications that improve security operations and analyst productivity.
• Drive the integration of generative AI technologies, including large language models, retrieval-augmented generation architectures, and secure AI workflows.
• Architect and optimize large-scale data platforms capable of securely processing complex datasets across high-performance environments.
• Partner with infrastructure, product, and security teams to ensure AI workloads meet requirements for reliability, compliance, scalability, and operational excellence.
• Establish strong MLOps practices, including CI/CD workflows, model evaluation frameworks, monitoring, and system observability.

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• Oversee API design and integrations that enable efficient interaction between AI systems, internal platforms, and automated workflows.
• Act as a technical subject matter expert, translating complex cybersecurity challenges into innovative AI-driven solutions.
  
  

Requirements

The ideal candidate is an experienced AI and data engineering leader with a strong background in machine learning systems, software architecture, and team management. They should have the ability to combine technical execution with strategic leadership in complex, security-focused environments.

• 5+ years of experience in data science, machine learning engineering, or data engineering, including 2+ years in a technical leadership or team lead role.
• Strong understanding of LLM technologies, retrieval-augmented generation (RAG), prompt engineering, MLOps practices, and secure AI system integration.
• Extensive experience with Python, AWS services such as S3, Lambda, Batch, Glue, Bedrock, Step Functions, and Redshift, along with modern ML frameworks.
• Proven experience building and deploying end-to-end machine learning pipelines from data ingestion through production monitoring.
• Strong knowledge of software architecture principles, scalable data systems, and secure solutions for multi-tenant or regulated environments.
• Experience designing and managing high-performance data pipelines and AI-powered applications.
• Excellent communication skills with the ability to mentor engineers, influence technical decisions, and explain complex concepts to technical and non-technical audiences.
• Experience with cybersecurity, vulnerability research, bug bounty platforms, or offensive security workflows is highly desirable.
• Familiarity with compliance-focused environments such as FedRAMP or SOC 2 is a plus.
• Master’s degree or higher in Computer Science, Information Systems, Engineering, or a related quantitative discipline is preferred.
  
  

Benefits

• Competitive base salary range of $172,000 - $236,500 annually.
• Eligibility for discretionary bonus programs based on individual and organizational performance.
• Fully remote work environment with flexibility to work from home.
• Opportunity to lead innovative AI and data initiatives addressing complex cybersecurity challenges.
• Collaborative culture focused on inclusion, technical excellence, and continuous learning.
• Opportunity to work with advanced AI technologies and shape next-generation security solutions.
• Professional growth opportunities through mentorship, leadership, and impactful engineering projects.
• Comprehensive benefits package and employee support programs.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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