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Product Specialist AI/ML

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Job Description – Product Manager

Team: Engineering

Designation: Product Manager

Job Role: Lead the strategy, roadmap, and development of AI-powered security products, driving innovation and customer value in threat detection and response

Experience: 5+ years product management, 2+ in AI/ML or cybersecurity, B2B SaaS launch success

Job-Location: Cyberjaya

Shifts: Day Shift. However, the resource may need to work Flexible Hours to

provide extended support & be available on call when required

Responsibilities:-

Product Strategy & Roadmap

  • Define product vision aligned with industry standards (NIST, ISO 27001, Zero Trust).
  • Develop roadmaps integrating AI/ML capabilities (threat detection, anomaly analysis, automated response).
  • Prioritize features using Agile, balancing technical feasibility, user needs, and ethical AI practices (bias mitigation, transparency).

AI-Driven Product Development

Collaborate with data scientists/engineers to build scalable AI models for threat intelligence and behavioural analytics.

Market & Customer Engagement

  • Engage customers to refine use cases (e.g., SOC efficiency, zero-day attack mitigation).
  • Conduct competitive analysis of AI-driven tools (XDR, SASE, cloud security).
  • Lead go-to-market strategies (pricing, training, stakeholder communication).
  • Partner with engineering, sales, and compliance teams for product launches and regulatory adherence.

Cross-Functional Leadership

  • Oversee and steer the product development process, ensuring compliance with budget, scope, and project timelines.
  • Lead cross-functional teams to ensure product success and integration.

Performance Monitoring

  • Track KPIs: threat detection accuracy, false-positive rates, and user adoption.
  • Analyse product data and feedback to iteratively improve behavior, automation, and alignment with user expectations.

Work Experience

5+ years in product management, including 2+ years in AI/ML or cybersecurity.

Proven success in launching B2B SaaS/enterprise security products.

Qualifications

Bachelor’s/Master’s in Computer Science, Cybersecurity, or related field.

Essential Technical Skills

  • Expertise in AI frameworks (TensorFlow, PyTorch) and tools like SIEM/EDR.
  • Familiarity with network protocols (SDN, NFV) and cloud platforms (AWS, Azure).
  • Agile mindset; proficiency in Jira, Miro, or Figma.

Desired Skills

  • Strategic thinker with strong communication for translating AI concepts.
  • Experience in threat intelligence platforms or MSSP environments.

Certifications

CISSP, PMP, or AI/ML-specific credentials.

Behavioral Skills

Excellent analytical, decision-making, and problem-solving skills.

Excellent interpersonal and relationship-building skills.

A strong passion for learning and adapting to new technologies.

Skills: aws,kpi tracking,pytorch,cybersecurity,ai techniques,threat detection,ai/ml products,jira,nfv,edr,b2b saas,figma,ml,product strategy,azure,product management,product delivery,data analysis,anomaly analysis,miro,behavioral analytics,artificial intelligence strategy,cross-functional leadership,market analysis,siem,tensorflow,sdn,go-to-market strategies,agile,ai/ml,roadmap development
Job Description – Product Manager

Team: Engineering

Designation: Product Manager

Job Role: Lead the strategy, roadmap, and development of AI-powered security products, driving innovation and customer value in threat detection and response

Experience: 5+ years product management, 2+ in AI/ML or cybersecurity, B2B SaaS launch success

Job-Location: Cyberjaya

Shifts: Day Shift. However, the resource may need to work Flexible Hours to

provide extended support & be available on call when required

Responsibilities:-

Product Strategy & Roadmap

  • Define product vision aligned with industry standards (NIST, ISO 27001, Zero Trust).
  • Develop roadmaps integrating AI/ML capabilities (threat detection, anomaly analysis, automated response).
  • Prioritize features using Agile, balancing technical feasibility, user needs, and ethical AI practices (bias mitigation, transparency).

AI-Driven Product Development

Collaborate with data scientists/engineers to build scalable AI models for threat intelligence and behavioural analytics.

Market & Customer Engagement

  • Engage customers to refine use cases (e.g., SOC efficiency, zero-day attack mitigation).
  • Conduct competitive analysis of AI-driven tools (XDR, SASE, cloud security).
  • Lead go-to-market strategies (pricing, training, stakeholder communication).
  • Partner with engineering, sales, and compliance teams for product launches and regulatory adherence.

Cross-Functional Leadership

  • Oversee and steer the product development process, ensuring compliance with budget, scope, and project timelines.
  • Lead cross-functional teams to ensure product success and integration.

Performance Monitoring

  • Track KPIs: threat detection accuracy, false-positive rates, and user adoption.
  • Analyse product data and feedback to iteratively improve behavior, automation, and alignment with user expectations.

Work Experience

5+ years in product management, including 2+ years in AI/ML or cybersecurity.

Proven success in launching B2B SaaS/enterprise security products.

Qualifications

Bachelor’s/Master’s in Computer Science, Cybersecurity, or related field.

Essential Technical Skills

  • Expertise in AI frameworks (TensorFlow, PyTorch) and tools like SIEM/EDR.
  • Familiarity with network protocols (SDN, NFV) and cloud platforms (AWS, Azure).
  • Agile mindset; proficiency in Jira, Miro, or Figma.

Desired Skills

  • Strategic thinker with strong communication for translating AI concepts.
  • Experience in threat intelligence platforms or MSSP environments.

Certifications

CISSP, PMP, or AI/ML-specific credentials.

Behavioral Skills

Excellent analytical, decision-making, and problem-solving skills.

Excellent interpersonal and relationship-building skills.

A strong passion for learning and adapting to new technologies.

Skills: aws,kpi tracking,pytorch,cybersecurity,ai techniques,threat detection,ai/ml products,jira,nfv,edr,b2b saas,figma,ml,product strategy,azure,product management,product delivery,data analysis,anomaly analysis,miro,behavioral analytics,artificial intelligence strategy,cross-functional leadership,market analysis,siem,tensorflow,sdn,go-to-market strategies,agile,ai/ml,roadmap development