Manager, Engineering - AI and Data Team Manager

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.

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!  Why Apply Through Jobgether? 

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