Manager, Engineering - AI and Data Team Manager

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

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.