Job Summary

We are seeking a detail-oriented and proactive Cyber GRC Analyst to support the organization's cybersecurity governance, risk management, and compliance initiatives. The ideal candidate will assist in identifying cyber risks, maintaining compliance with industry regulations and security frameworks, supporting audits, and helping strengthen the overall cybersecurity posture of the organization.

Job Description

The Cyber GRC Analyst serves as a key member of the Governance, Risk, and Compliance team, responsible for assessing cybersecurity risks, monitoring compliance requirements, developing security policies, and supporting audit activities. This role works closely with Information Security, IT, Legal, Internal Audit, and Business stakeholders to ensure security controls align with regulatory and business requirements.

Key Responsibilities

• Conduct cybersecurity risk assessments and risk analyses.
• Identify, document, and track security risks and mitigation plans.
• Support compliance efforts related to NIST, ISO 27001, SOC 2, PCI DSS, HIPAA, and other frameworks.
• Assist with internal and external security audits.
• Review and maintain cybersecurity policies, standards, and procedures.
• Monitor regulatory and compliance changes affecting cybersecurity programs.
• Maintain risk registers and compliance documentation.
• Track remediation activities and ensure timely closure of findings.
• Support third-party/vendor security assessments.
• Develop governance and compliance reports for management.
• Assist in control testing and security assessments.
• Collaborate with business units to ensure compliance requirements are met.
• Support cybersecurity awareness and policy training initiatives.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Technology, Information Security, Risk Management, or related field.
• 2–5 years of experience in Cybersecurity, Risk Management, Compliance, Audit, or Governance.
• Knowledge of cybersecurity frameworks and industry regulations.
• Strong analytical and documentation skills.
• Excellent communication and stakeholder management abilities.

Preferred Qualifications

• Experience with GRC platforms such as ServiceNow GRC, Archer, OneTrust, or MetricStream.
• Experience supporting SOC 2, ISO 27001, HIPAA, PCI DSS, or FedRAMP audits.
• Understanding of cloud security environments (AWS, Azure, GCP).
• Experience conducting vendor risk assessments.
• Familiarity with cybersecurity operations and security controls.

Key Responsibilities by Position Level

Junior Cyber GRC Analyst

• Perform compliance reviews.
• Update risk registers.
• Assist with audit preparation.
• Maintain security documentation.
• Support evidence collection activities.

Mid-Level Cyber GRC Analyst

• Lead risk assessments.
• Conduct control testing.
• Manage compliance initiatives.
• Support regulatory audits.
• Develop governance reports.

Senior Cyber GRC Analyst

• Lead enterprise risk management activities.
• Design governance frameworks.
• Advise leadership on cyber risk strategies.
• Manage audit and compliance programs.
• Oversee third-party risk management processes.

Technical Skills

• Risk Assessment & Risk Management
• Cybersecurity Governance
• Security Control Evaluation
• Audit Management
• Vendor Risk Management
• Compliance Monitoring
• Security Policy Development
• Microsoft Excel & Reporting Tools
• ServiceNow GRC
• NIST Cybersecurity Framework
• ISO 27001
• SOC 2
• PCI DSS
• HIPAA

Certifications Preferred

• Certified Information Systems Auditor (CISA)
• Certified in Risk and Information Systems Control (CRISC)
• Certified Information Security Manager (CISM)
• CompTIA Security+
• Certified in Governance of Enterprise IT (CGEIT)
• ISO 27001 Lead Auditor

Job Summary

We are seeking a highly motivated Ransomware Response Specialist to join our Cyber Incident Response team. The successful candidate will be responsible for investigating, containing, and responding to ransomware attacks affecting enterprise environments. This role requires expertise in incident response, digital forensics, malware analysis, threat hunting, and cybersecurity operations. The ideal candidate will work closely with clients, security teams, and executive stakeholders to minimize business disruption and strengthen cyber resilience.

Job Description

As a Ransomware Response Specialist, you will lead investigations into ransomware incidents, identify attack vectors, perform forensic analysis, coordinate containment and recovery efforts, and provide strategic recommendations to prevent future attacks. You will collaborate with Security Operations Centers (SOC), Threat Intelligence teams, and IT departments to ensure rapid and effective incident resolution.

Key Responsibilities

• Lead ransomware incident response engagements from detection through recovery.
• Investigate ransomware infections and determine root causes.
• Perform forensic analysis on compromised endpoints, servers, and cloud environments.
• Analyze attacker tactics, techniques, and procedures (TTPs).
• Identify indicators of compromise (IOCs) and recommend containment actions.
• Conduct threat hunting activities to uncover additional malicious activity.
• Coordinate with internal stakeholders and external clients during cyber incidents.
• Develop incident response reports and executive-level briefings.
• Assist organizations with system recovery and business continuity efforts.
• Recommend security improvements to reduce future ransomware risks.
• Support tabletop exercises and ransomware preparedness assessments.
• Maintain knowledge of emerging ransomware groups and threat landscapes.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field.
• 3+ years of experience in Incident Response, SOC Operations, or Digital Forensics.
• Strong understanding of ransomware attack methodologies.
• Experience with Windows, Linux, and Active Directory environments.
• Knowledge of SIEM, EDR, and threat detection tools.
• Familiarity with MITRE ATT&CK Framework.
• Excellent analytical and communication skills.

Preferred Qualifications

• Experience handling enterprise-scale cyber incidents.
• Knowledge of cloud security platforms (AWS, Azure, GCP).
• Familiarity with malware reverse engineering.
• Experience with forensic investigation tools.
• Understanding of cyber insurance and breach response processes.

Technical Skills

• Incident Response
• Digital Forensics
• Threat Hunting
• Malware Analysis
• SIEM Platforms (Splunk, QRadar, Sentinel)
• EDR Solutions (CrowdStrike, SentinelOne, Microsoft Defender)
• Active Directory Security
• Network Security
• Python or PowerShell
• MITRE ATT&CK Framework

Certifications Preferred

• GIAC Certified Incident Handler (GCIH)
• Certified Ethical Hacker (CEH)
• CompTIA Security+
• Certified Information Systems Security Professional (CISSP)
• GIAC Certified Forensic Analyst (GCFA)

Benefits

• Health, Dental, and Vision Insurance
• Remote Work Opportunities
• Performance Bonuses
• Cybersecurity Training Budget
• Certification Reimbursement
• Retirement Savings Plan (401k)
• Paid Time Off (PTO)
• Professional Development Programs

Job Description

Meta is seeking a highly motivated Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). This team plays a critical role in measuring and accelerating AI progress by developing evaluation frameworks, benchmarks, and methodologies for advanced AI systems and Large Language Models (LLMs).

As a Data Scientist, Evaluations, you will partner with AI researchers, machine learning engineers, and product teams to design metrics that assess model capabilities, safety, reliability, and performance. Your work will directly influence the development and deployment of next-generation AI technologies.

Key Responsibilities

• Design and develop evaluation frameworks for AI and Generative AI systems.
• Build quantitative metrics to assess model performance, accuracy, and safety.
• Analyze large-scale datasets and AI model outputs.
• Create benchmark datasets for testing and validation.
• Conduct statistical analyses to identify model strengths and weaknesses.
• Collaborate with AI researchers to improve evaluation methodologies.
• Develop dashboards and reporting tools to track model performance.
• Monitor trends in AI quality, fairness, and reliability.
• Support experimentation and A/B testing for AI products.
• Present insights and recommendations to technical and executive stakeholders.

Required Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, or a related field.
• 4+ years of experience in Data Science, Machine Learning, Analytics, or AI Evaluation.
• Strong knowledge of statistical modeling and experimental design.
• Experience working with large datasets.
• Proficiency in Python and SQL.
• Experience with machine learning and AI systems.
• Strong communication and presentation skills.

Preferred Qualifications

• Experience evaluating Large Language Models (LLMs).
• Knowledge of Generative AI systems.
• Familiarity with Reinforcement Learning from Human Feedback (RLHF).
• Experience with model benchmarking and AI safety evaluation.
• Background in machine learning research.
• Experience working with cloud platforms and distributed data systems.

Technical Skills

• Python
• SQL
• Machine Learning
• Data Science
• Statistics
• Experimental Design
• A/B Testing
• Generative AI
• Large Language Models (LLMs)
• Data Visualization
• Tableau / Power BI
• AI Benchmarking

Day-to-Day Activities

• Evaluate AI model responses across multiple tasks.
• Analyze performance metrics and identify improvement opportunities.
• Develop new benchmarks for measuring AI capabilities.
• Collaborate with research teams on evaluation experiments.
• Create reports and visualizations for stakeholders.
• Support the development of safer and more reliable AI systems.
• Investigate model failures and recommend improvements.

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Retirement savings plans.
• Paid time off and wellness programs.
• Professional development opportunities.
• Access to cutting-edge AI research and technology.

Job Description

DataAnnotation is seeking detail-oriented and analytical individuals to join our team as AI Trainers. In this role, you will help improve the performance, accuracy, and reliability of advanced Artificial Intelligence systems by evaluating AI-generated responses, providing feedback, and creating high-quality training data.

You will collaborate with AI researchers, machine learning engineers, and data teams to ensure AI models produce useful, accurate, and safe outputs. This position is ideal for candidates with strong critical-thinking, writing, research, and problem-solving skills.

Key Responsibilities

• Evaluate AI-generated content for accuracy, relevance, and quality.
• Compare multiple AI responses and identify the best output.
• Provide detailed feedback to improve model performance.
• Create and annotate training datasets for AI systems.
• Review chatbot conversations and recommend improvements.
• Test AI models across different use cases and scenarios.
• Follow quality assurance guidelines and project requirements.
• Document findings and maintain evaluation records.
• Assist in developing benchmarks and evaluation criteria.
• Collaborate with AI teams to improve model behavior.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, English, Business, Mathematics, or a related field (preferred but not always required).
• Strong written and verbal communication skills.
• Excellent analytical and problem-solving abilities.
• Ability to assess information critically and objectively.
• Familiarity with AI tools such as ChatGPT, Gemini, or Claude.
• Strong attention to detail.

Preferred Qualifications

• Experience with AI model evaluation or data annotation.
• Understanding of Generative AI and Large Language Models (LLMs).
• Knowledge of prompt engineering.
• Basic Python or SQL skills.
• Experience in content review, research, or quality assurance.

Technical Skills

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Data Annotation
• Content Evaluation
• Research & Analysis
• Quality Assurance
• Microsoft Office / Google Workspace

Day-to-Day Activities

• Review AI-generated answers.
• Score responses based on predefined criteria.
• Identify factual errors and inconsistencies.
• Rewrite prompts and improve AI interactions.
• Label datasets for model training.
• Participate in quality review sessions.
• Submit feedback reports to project managers.

Benefits

• Remote work flexibility.
• Flexible working hours.
• Performance-based bonuses.
• Professional development opportunities.
• Exposure to cutting-edge AI technologies.
• Opportunity to work on real-world AI projects.

Job Description

CrowdStrike is seeking a highly skilled Red Team Operator to join its Offensive Security team. In this role, you will simulate sophisticated cyberattacks against enterprise environments to evaluate security controls, detection capabilities, and incident response processes. You will emulate real-world threat actors, identify security weaknesses, and provide actionable recommendations to strengthen the organization's security posture.

The ideal candidate has experience in adversary emulation, penetration testing, social engineering assessments, Active Directory exploitation, cloud security testing, and red team operations across complex environments.

Key Responsibilities

• Conduct advanced red team engagements against enterprise networks, cloud environments, and applications.
• Simulate tactics, techniques, and procedures (TTPs) used by real-world threat actors.
• Perform phishing and social engineering campaigns to evaluate organizational resilience.
• Assess Active Directory security and privilege escalation paths.
• Execute internal and external penetration testing activities.
• Develop custom attack tools, scripts, and payloads.
• Collaborate with Blue Team and Security Operations teams to improve detection and response capabilities.
• Document findings and present executive-level reports.
• Conduct threat emulation exercises aligned with the MITRE ATT&CK framework.
• Identify vulnerabilities and recommend remediation strategies.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
• 3+ years of experience in offensive security, red teaming, or penetration testing.
• Strong understanding of Windows, Linux, and Active Directory environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of common attack frameworks and methodologies.
• Experience with scripting languages such as Python, PowerShell, or Bash.
• Excellent analytical and communication skills.

Preferred Certifications

• Offensive Security Certified Professional (OSCP)
• OSWE
• OSEP
• CRTO
• GIAC Penetration Tester (GPEN)
• Certified Ethical Hacker (CEH)

Technical Skills

• Penetration Testing
• Red Team Operations
• Active Directory Security
• MITRE ATT&CK
• Cobalt Strike
• Burp Suite
• Metasploit
• BloodHound
• PowerShell
• Python
• Cloud Security
• Threat Emulation

Benefits

• Competitive salary and annual bonus.
• Remote work flexibility.
• Health, dental, and vision insurance.
• Professional development and certification reimbursement.
• Paid time off and wellness programs.

Job Description

We are seeking an experienced Data Analytics Manager to lead our analytics team and drive data-informed decision-making across the organization. The ideal candidate will oversee analytics initiatives, develop reporting strategies, manage data professionals, and collaborate with business stakeholders to deliver actionable insights that support company growth and operational excellence.

As a Data Analytics Manager, you will play a critical role in transforming complex data into strategic business recommendations, ensuring data quality, and promoting a culture of analytics throughout the organization.

Key Responsibilities

• Lead and manage a team of Data Analysts, Business Intelligence Analysts, and Analytics Engineers.
• Develop and execute the organization's analytics strategy aligned with business objectives.
• Define, track, and optimize key performance indicators (KPIs) across departments.
• Collaborate with business leaders to identify analytical opportunities and business challenges.
• Design and maintain executive dashboards, reports, and business intelligence solutions.
• Oversee data collection, validation, governance, and reporting processes.
• Translate complex datasets into actionable business insights and recommendations.
• Manage multiple analytics projects while ensuring timely delivery and high-quality results.
• Partner with Data Engineering teams to improve data infrastructure and accessibility.
• Present findings and strategic recommendations to executive leadership.
• Establish best practices for analytics, reporting, and data visualization.
• Monitor emerging analytics technologies and recommend innovative solutions.

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, or a related field.
• 7+ years of experience in Data Analytics, Business Intelligence, or Data Science.
• 3+ years of experience leading analytics teams.
• Strong expertise in SQL and data querying.
• Experience with data visualization tools such as Power BI or Tableau.
• Proficiency in Python or R for data analysis.
• Experience with cloud platforms and modern data warehouses.
• Strong project management and stakeholder communication skills.
• Excellent analytical and problem-solving abilities.

Preferred Qualifications

• Master's degree in Analytics, Data Science, Business Administration, or a related field.
• Experience with machine learning and predictive analytics.
• Knowledge of data governance and data quality frameworks.
• Experience working with large-scale enterprise datasets.
• Relevant analytics or cloud certifications.

Technical Skills

• SQL
• Python
• Data Modeling
• Statistical Analysis
• Data Visualization
• Business Intelligence
• Dashboard Development
• Data Governance
• Predictive Analytics
• KPI Reporting
• Cloud Data Platforms
• ETL Processes

Benefits

• Competitive Salary
• Annual Performance Bonus
• Health, Dental, and Vision Insurance
• Flexible Work Arrangements
• Professional Development Programs
• Employee Wellness Initiatives
• Career Growth Opportunities

Job Description

We are seeking a highly motivated Prompt Engineer to join our Artificial Intelligence team. The ideal candidate will design, test, optimize, and manage prompts for Large Language Models (LLMs) and Generative AI applications. This role involves working closely with AI Engineers, Product Managers, Data Scientists, and Business Stakeholders to improve AI-generated responses, automate workflows, and enhance user experiences.

The successful candidate will have a strong understanding of Generative AI technologies, prompt engineering techniques, natural language processing concepts, and AI model behavior. They will play a critical role in developing reliable, accurate, and scalable AI-powered solutions across multiple business functions.

Key Responsibilities

• Design, develop, and optimize prompts for Large Language Models (LLMs).
• Evaluate AI-generated outputs for accuracy, consistency, relevance, and safety.
• Create prompt libraries, templates, and reusable frameworks for various business use cases.
• Develop and maintain prompt engineering best practices and documentation.
• Collaborate with AI Engineers and Data Scientists to improve model performance.
• Conduct prompt testing, experimentation, and A/B evaluations.
• Identify and mitigate AI hallucinations, bias, and response quality issues.
• Support the development of AI chatbots, virtual assistants, content generation tools, and workflow automation systems.
• Monitor prompt effectiveness and continuously improve output quality.
• Stay current with advancements in Generative AI, LLMs, and emerging AI technologies.
• Assist in fine-tuning AI models and implementing Retrieval-Augmented Generation (RAG) workflows.
• Work with stakeholders to translate business requirements into effective AI interactions.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Linguistics, Information Technology, or a related field.
• 2+ years of experience working with Generative AI, NLP, content strategy, or AI applications.
• Strong understanding of Large Language Models (LLMs) and Generative AI technologies.
• Experience with prompt design, prompt optimization, and AI testing methodologies.
• Knowledge of Natural Language Processing (NLP) concepts and language model behavior.
• Excellent analytical, problem-solving, and communication skills.
• Ability to evaluate and improve AI-generated outputs.
• Experience working in cross-functional technical teams.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) systems.
• Knowledge of AI model fine-tuning and evaluation frameworks.
• Experience with conversational AI and chatbot development.
• Familiarity with AI safety, responsible AI, and governance principles.
• Experience working with APIs and AI application development.
• Master's degree in AI, Computer Science, Data Science, or a related field.

Technical Skills

• Prompt Engineering
• Large Language Models (LLMs)
• Generative AI
• Natural Language Processing (NLP)
• AI Model Evaluation
• Python
• API Integration
• Retrieval-Augmented Generation (RAG)
• AI Testing & Validation
• Data Analysis
• Documentation & Knowledge Management

Preferred Tools & Technologies

• OpenAI API
• LangChain
• LlamaIndex
• Python
• Jupyter Notebook
• GitHub
• Vector Databases (Pinecone, Weaviate, Chroma)
• Prompt Evaluation Frameworks

Benefits

• Competitive Salary
• Performance-Based Bonus
• Medical, Dental, and Vision Insurance
• Flexible Work Schedule
• Remote Work Opportunities
• Paid Time Off (PTO)
• Professional Development & AI Certifications
• Career Growth Opportunities
• Employee Wellness Programs

Job Description

We are seeking a highly skilled Digital Forensics Analyst to join our Cybersecurity team. The ideal candidate will be responsible for conducting digital forensic investigations, analyzing cyber incidents, collecting and preserving digital evidence, and supporting incident response activities. This role requires expertise in forensic methodologies, evidence handling, malware analysis, and cybersecurity investigations.

The Digital Forensics Analyst will work closely with Security Operations, Incident Response, Legal, Compliance, and IT teams to investigate security breaches, insider threats, fraud cases, and other cyber incidents while maintaining the integrity of digital evidence.

Key Responsibilities

• Conduct digital forensic investigations involving cyber incidents, data breaches, insider threats, and unauthorized system access.
• Collect, preserve, and analyze digital evidence from computers, mobile devices, servers, cloud environments, and network systems.
• Perform forensic imaging and data acquisition using industry-standard forensic tools.
• Investigate security incidents and determine root causes, attack methods, and affected assets.
• Analyze system logs, network traffic, memory dumps, and file systems to identify indicators of compromise (IOCs).
• Support Incident Response teams during active cybersecurity investigations.
• Prepare detailed forensic reports and technical documentation for management, legal teams, and regulatory requirements.
• Maintain chain-of-custody documentation and ensure evidence integrity throughout investigations.
• Conduct malware analysis and support threat intelligence activities.
• Collaborate with law enforcement, legal teams, compliance officers, and internal stakeholders when required.
• Assist with eDiscovery, litigation support, and regulatory investigations.
• Stay current with emerging cyber threats, forensic technologies, and industry best practices.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Security, Digital Forensics, or a related field.
• 3+ years of experience in Digital Forensics, Incident Response, or Cybersecurity Operations.
• Strong knowledge of forensic investigation methodologies and evidence handling procedures.
• Experience analyzing Windows, Linux, and macOS operating systems.
• Familiarity with network protocols, system logs, and security event analysis.
• Experience with malware analysis and threat investigation.
• Strong analytical, problem-solving, and report-writing skills.
• Ability to manage multiple investigations simultaneously.

Preferred Qualifications

• Master's degree in Cybersecurity, Digital Forensics, or Information Assurance.
• Experience with cloud forensics in AWS, Azure, or Google Cloud environments.
• Knowledge of eDiscovery and legal investigation processes.
• Experience supporting regulatory compliance investigations.
• Familiarity with reverse engineering and advanced malware analysis.

Technical Skills

• Digital Forensics
• Incident Response
• Malware Analysis
• Threat Hunting
• Evidence Collection & Preservation
• Memory Forensics
• Network Forensics
• Log Analysis
• File System Analysis
• Cyber Threat Investigation
• Cloud Forensics
• Report Writing & Documentation

Preferred Tools & Technologies

• EnCase
• FTK
• Autopsy
• Volatility
• Wireshark
• Splunk
• Microsoft Defender XDR
• AWS, Azure, and Google Cloud Security Tools

Preferred Certifications

• GIAC Certified Forensic Analyst (GCFA)
• GIAC Certified Incident Handler (GCIH)
• Certified Ethical Hacker (CEH)
• Computer Hacking Forensic Investigator (CHFI)
• CompTIA Security+

Benefits

• Competitive Salary
• Annual Performance Bonus
• Medical, Dental, and Vision Insurance
• Paid Time Off (PTO)
• Flexible Work Arrangements
• Remote Work Opportunities
• Professional Certification Reimbursement
• Career Development Programs
• Employee Wellness Programs

Job Summary

We are seeking an experienced AI Governance Manager to lead the development and implementation of governance frameworks that ensure the responsible, ethical, secure, and compliant use of Artificial Intelligence across the organization. The ideal candidate will work closely with AI, Data Science, Legal, Compliance, Risk, Security, and Business teams to establish policies, standards, and controls that support trustworthy AI adoption while meeting regulatory requirements.

Key Responsibilities

• Develop and maintain enterprise-wide AI governance frameworks, policies, and standards.
• Establish controls to manage AI-related risks, including ethical, operational, compliance, and reputational risks.
• Ensure AI systems comply with applicable regulations, industry standards, and internal policies.
• Lead AI risk assessments and governance reviews throughout the AI lifecycle.
• Collaborate with Legal, Compliance, Cybersecurity, and Data Science teams to implement Responsible AI practices.
• Monitor emerging AI regulations, standards, and best practices.
• Develop governance processes for AI model development, deployment, monitoring, and retirement.
• Create governance dashboards, metrics, and executive reports.
• Support AI audits, regulatory examinations, and internal assessments.
• Conduct AI governance training and awareness programs for stakeholders.
• Establish oversight mechanisms for model transparency, explainability, fairness, and accountability.
• Drive continuous improvement of AI governance programs across the organization.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Business Administration, Risk Management, Cybersecurity, or a related field.
• 5+ years of experience in AI Governance, Risk Management, Compliance, Data Governance, Model Risk Management, or related fields.
• Strong understanding of AI/ML technologies and governance principles.
• Experience developing governance frameworks and compliance programs.
• Knowledge of Responsible AI, AI Ethics, and AI Risk Management practices.
• Excellent analytical, communication, and stakeholder management skills.
• Experience working with cross-functional teams and senior leadership.

Preferred Qualifications

• Master's degree in a related field.
• Experience with Generative AI governance programs.
• Knowledge of AI regulations and frameworks such as:
  • NIST AI Risk Management Framework
  • ISO/IEC 42001
  • EU AI Act
  • OECD AI Principles
  • Responsible AI Frameworks
• Professional certifications in Governance, Risk, Compliance, Cybersecurity, or Data Management.

Technical Skills

• AI Governance Frameworks
• AI Risk Management
• Responsible AI
• Model Risk Management
• Data Governance
• Regulatory Compliance
• AI Ethics
• Policy Development
• Audit & Controls Management
• Risk Assessment
• Generative AI Governance
• AI Lifecycle Management

Preferred Tools

• Microsoft Purview
• IBM OpenPages
• ServiceNow GRC
• Archer GRC
• Collibra
• OneTrust
• Azure AI Governance Tools
• AWS AI Governance Services
• Google Cloud AI Governance Solutions

Benefits

• Competitive salary and performance bonuses
• Medical, dental, and vision insurance
• Paid time off and holidays
• Professional development and certification support
• Remote and hybrid work opportunities
• Career growth within AI Governance and Responsible AI programs

Job Summary

We are seeking an experienced Head of Responsible AI to lead the organization's Responsible AI strategy and governance initiatives. This executive leadership role will ensure that Artificial Intelligence and Generative AI systems are developed, deployed, and monitored in a manner that is ethical, transparent, fair, secure, and compliant with regulatory requirements.

The Head of Responsible AI will work closely with executive leadership, AI engineering teams, legal, compliance, cybersecurity, privacy, and risk management stakeholders to establish enterprise-wide Responsible AI standards and governance frameworks.

Key Responsibilities

• Define and execute the organization's Responsible AI vision, strategy, and roadmap.
• Develop enterprise-wide Responsible AI policies, standards, and governance frameworks.
• Lead initiatives focused on AI fairness, transparency, accountability, explainability, and safety.
• Establish processes to identify, assess, and mitigate AI-related risks.
• Oversee Responsible AI reviews throughout the AI lifecycle.
• Partner with AI, Data Science, Legal, Compliance, Security, and Privacy teams.
• Ensure compliance with emerging AI regulations and industry standards.
• Create governance structures and review boards for high-impact AI systems.
• Monitor AI performance and ethical considerations after deployment.
• Develop executive-level reporting on Responsible AI metrics and risks.
• Lead Responsible AI training and awareness programs across the organization.
• Represent the company in industry forums, conferences, and regulatory discussions.
• Drive continuous improvement of Responsible AI practices and governance controls.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Cybersecurity, Public Policy, Law, or a related field.
• 12+ years of experience in AI Governance, Risk Management, Compliance, Data Governance, AI Ethics, or related disciplines.
• 5+ years of leadership experience managing enterprise programs and teams.
• Strong understanding of Artificial Intelligence, Machine Learning, and Generative AI technologies.
• Experience developing and implementing governance frameworks and risk management programs.
• Excellent executive communication and stakeholder management skills.
• Proven ability to influence cross-functional teams and senior leadership.

Preferred Qualifications

• Master's degree or MBA.
• Experience working in highly regulated industries such as finance, healthcare, or technology.
• Familiarity with global AI regulations and frameworks, including:
  • NIST AI Risk Management Framework
  • ISO/IEC 42001
  • OECD AI Principles
  • EU AI Act
  • Responsible AI Governance Standards
• Professional certifications in Governance, Risk, Compliance, Privacy, or Cybersecurity.

Technical Skills

• Responsible AI Governance
• AI Risk Management
• AI Ethics
• Generative AI Governance
• Regulatory Compliance
• Model Risk Management
• Data Governance
• AI Explainability
• Fairness & Bias Assessment
• AI Safety & Security
• Policy Development
• Executive Reporting
• Enterprise Governance Frameworks

Preferred Tools & Platforms

• Microsoft Responsible AI Dashboard
• Azure AI Governance Services
• AWS AI Governance Solutions
• Google Cloud Responsible AI Tools
• IBM OpenPages
• ServiceNow GRC
• Collibra
• OneTrust
• Archer GRC

Benefits

• Competitive executive compensation package
• Annual performance bonus
• Equity or stock options (where applicable)
• Medical, dental, and vision insurance
• 401(k) retirement plan with company match
• Flexible work arrangements
• Leadership development opportunities
• Paid time off and holidays

Job Summary

We are seeking a detail-oriented Vulnerability Management Analyst to join our Cybersecurity team. The successful candidate will be responsible for identifying, assessing, prioritizing, and tracking security vulnerabilities across enterprise infrastructure, cloud environments, applications, and endpoints.

This role works closely with Security Operations, Infrastructure, Cloud Engineering, Application Development, and Risk Management teams to reduce cyber risk through proactive vulnerability management and remediation efforts.

Key Responsibilities

• Perform vulnerability assessments across networks, servers, cloud environments, applications, databases, and endpoints.
• Analyze vulnerability scan results and determine business impact and risk severity.
• Prioritize vulnerabilities based on CVSS scores, exploitability, threat intelligence, and organizational risk.
• Coordinate remediation efforts with IT, Infrastructure, Cloud, and Application teams.
• Track remediation activities and verify successful resolution of vulnerabilities.
• Conduct vulnerability trend analysis and reporting.
• Monitor emerging threats, vulnerabilities, and security advisories.
• Support patch management and remediation programs.
• Maintain vulnerability management policies, procedures, and documentation.
• Assist with cybersecurity audits, risk assessments, and compliance initiatives.
• Generate executive and operational vulnerability reports.
• Improve vulnerability management processes and automation capabilities.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Information Security, or a related field.
• 3–5 years of experience in Vulnerability Management, Security Operations, Cyber Risk, or Information Security.
• Experience conducting vulnerability assessments in enterprise environments.
• Knowledge of security frameworks and industry best practices.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience with cloud security environments (AWS, Azure, or Google Cloud).
• Understanding of vulnerability scoring methodologies such as CVSS.
• Experience supporting compliance programs and security audits.
• Industry certifications such as:
  • CompTIA Security+
  • Certified Ethical Hacker (CEH)
  • GIAC Vulnerability Assessment (GVA)
  • CISSP
  • GSEC

Technical Skills

• Vulnerability Management
• Risk Assessment
• Patch Management
• Threat Intelligence
• Network Security
• Operating System Security
• Cloud Security
• Security Reporting
• Vulnerability Prioritization
• Security Compliance
• Security Operations

Tools & Technologies

• Tenable Nessus
• Tenable.io
• Qualys VMDR
• Rapid7 InsightVM
• Microsoft Defender Vulnerability Management
• Splunk
• Microsoft Sentinel
• Jira
• ServiceNow
• CrowdStrike Falcon
• AWS Security Hub
• Azure Security Center

Preferred Knowledge Areas

• Common Vulnerabilities and Exposures (CVE)
• Common Vulnerability Scoring System (CVSS)
• MITRE ATT&CK Framework
• NIST Cybersecurity Framework
• CIS Controls
• OWASP Top 10
• Patch and Configuration Management
• Security Risk Management

Benefits

• Competitive salary and annual performance bonus
• Medical, dental, and vision insurance
• 401(k) with company matching
• Paid time off and holidays
• Remote and hybrid work opportunities
• Professional certification reimbursement
• Career growth and training opportunities

Job Description

We are seeking a data-driven Product Data Analyst to support product strategy and decision-making through actionable insights and analytics. The Product Data Analyst will work closely with Product Managers, Engineering Teams, UX Researchers, Marketing, and Business Stakeholders to analyze user behavior, measure product performance, and identify opportunities for product growth and optimization.

The ideal candidate will have strong analytical skills, experience working with large datasets, and the ability to translate complex data into meaningful business recommendations. This role is critical in helping teams build products that improve customer experience, engagement, retention, and revenue.

Key Responsibilities

Product Analytics & Reporting

• Analyze product usage data to identify trends, patterns, and opportunities.
• Develop and maintain dashboards, reports, and KPI tracking systems.
• Monitor key product performance metrics and user engagement indicators.
• Create data visualizations to communicate product insights effectively.
• Provide regular reporting to Product Managers and leadership teams.

User Behavior Analysis

• Analyze customer journeys and user interactions across products.
• Identify user adoption, retention, and churn trends.
• Evaluate customer engagement and feature utilization.
• Perform cohort, funnel, and segmentation analyses.
• Recommend improvements based on user behavior insights.

Product Performance Measurement

• Define and track product success metrics.
• Measure feature adoption and business impact.
• Evaluate product releases and enhancements.
• Support product roadmap planning through data-driven recommendations.
• Monitor customer satisfaction and experience metrics.

Experimentation & A/B Testing

• Design and analyze A/B tests and experiments.
• Measure the effectiveness of new features and product changes.
• Interpret experiment results and provide actionable recommendations.
• Ensure statistical significance and analytical accuracy.
• Collaborate with product teams on experimentation strategies.

Cross-Functional Collaboration

• Partner with Product Managers, Engineers, and Designers.
• Gather business requirements and translate them into analytical solutions.
• Present findings and recommendations to stakeholders.
• Support strategic product initiatives with data insights.
• Assist leadership in making informed product decisions.

Data Quality & Governance

• Ensure data accuracy and consistency across reporting systems.
• Validate product tracking and event instrumentation.
• Maintain documentation for metrics, dashboards, and reporting processes.
• Support data governance and compliance initiatives.

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
• 2+ years of experience in Product Analytics, Data Analytics, Business Intelligence, or a related role.
• Strong proficiency in SQL.
• Experience with data visualization and BI tools.
• Knowledge of statistical analysis and experimentation methods.
• Excellent analytical and problem-solving abilities.
• Strong communication and presentation skills.

Preferred Qualifications

• Experience supporting SaaS, mobile, e-commerce, or technology products.
• Familiarity with product analytics platforms.
• Knowledge of Python or R for advanced analytics.
• Experience with customer journey analytics.
• Understanding of machine learning fundamentals.
• Experience working in Agile development environments.

Technical Skills

Data Analysis

• SQL
• Python (Pandas, NumPy)
• R
• Excel

Product Analytics Tools

• Amplitude
• Mixpanel
• Heap
• Google Analytics 4 (GA4)
• Adobe Analytics

Business Intelligence & Visualization

• Power BI
• Tableau
• Looker
• Google Data Studio

Databases & Data Platforms

• Snowflake
• BigQuery
• Redshift
• PostgreSQL
• MySQL

Statistical & Analytical Techniques

• A/B Testing
• Hypothesis Testing
• Cohort Analysis
• Funnel Analysis
• Retention Analysis
• Predictive Analytics

Soft Skills

• Critical Thinking
• Data Storytelling
• Business Acumen
• Communication Skills
• Stakeholder Management
• Problem Solving
• Attention to Detail
• Collaboration

Job Description

We are seeking a detail-oriented AI Compliance Analyst to support the governance, risk, and compliance (GRC) activities related to Artificial Intelligence systems and technologies. The AI Compliance Analyst will work closely with AI engineers, legal teams, cybersecurity professionals, risk managers, and business stakeholders to ensure AI solutions comply with applicable regulations, industry standards, ethical guidelines, and internal governance frameworks.

The ideal candidate will assess AI systems for regulatory compliance, monitor AI risks, support audits, and help establish policies that promote responsible and trustworthy AI adoption across the organization.

Key Responsibilities

• Evaluate AI systems for compliance with organizational policies, industry standards, and regulatory requirements.
• Conduct AI risk assessments and identify compliance gaps.
• Monitor emerging AI regulations, laws, and governance frameworks.
• Assist in developing and maintaining AI governance policies and procedures.
• Support internal and external AI compliance audits.
• Review AI models for fairness, transparency, explainability, and accountability requirements.
• Collaborate with Legal, Risk Management, Data Science, and Cybersecurity teams.
• Maintain documentation related to AI compliance activities and controls.
• Develop compliance reports and present findings to stakeholders and leadership.
• Ensure proper data governance practices are followed within AI projects.
• Assist in third-party AI vendor risk assessments and due diligence reviews.
• Track remediation activities and ensure compliance issues are resolved in a timely manner.
• Support responsible AI initiatives and ethical AI implementation programs.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Data Science, Business, Risk Management, Law, or a related field.
• 3+ years of experience in Compliance, Risk Management, Governance, AI Governance, Data Privacy, or Cybersecurity.
• Understanding of Artificial Intelligence and Machine Learning concepts.
• Knowledge of compliance frameworks, risk management methodologies, and audit processes.
• Experience with policy development and regulatory compliance programs.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.

Preferred Qualifications

• Experience with AI governance and responsible AI programs.
• Knowledge of AI risk management frameworks.
• Familiarity with data privacy regulations and compliance standards.
• Experience supporting enterprise AI implementations.
• Professional certifications in compliance, governance, risk, privacy, or cybersecurity.

Technical Skills

• AI Governance Frameworks
• Risk Assessment Methodologies
• Compliance Monitoring
• Data Governance
• Regulatory Analysis
• Audit Management
• SQL (Basic Understanding)
• Power BI / Tableau
• Microsoft Excel
• Documentation & Reporting Tools
• GRC Platforms

Soft Skills

• Critical Thinking
• Attention to Detail
• Stakeholder Management
• Communication Skills
• Problem Solving
• Organizational Skills
• Risk Analysis
• Policy Interpretation

Job Description

We are seeking a skilled Application Security Engineer to join our cybersecurity team. The Application Security Engineer will be responsible for ensuring the security of software applications throughout the Software Development Life Cycle (SDLC). This role involves identifying security vulnerabilities, performing security assessments, integrating security controls into development processes, and collaborating with software engineers to build secure applications.

The ideal candidate will have experience in secure coding practices, application security testing, DevSecOps, and vulnerability management. You will play a critical role in protecting enterprise applications from cyber threats while supporting secure software development initiatives.

Key Responsibilities

Application Security Assessments

• Perform application security reviews and risk assessments.
• Conduct Static Application Security Testing (SAST).
• Conduct Dynamic Application Security Testing (DAST).
• Perform Interactive Application Security Testing (IAST).
• Identify and validate application vulnerabilities.
• Prioritize remediation activities based on risk.

Secure Software Development

• Collaborate with development teams to implement secure coding practices.
• Integrate security requirements into the SDLC.
• Review source code for security weaknesses.
• Provide guidance on secure application architecture.
• Support threat modeling activities during application design.

Vulnerability Management

• Analyze security findings from automated and manual testing.
• Track and manage application vulnerabilities.
• Verify remediation efforts and security fixes.
• Maintain vulnerability metrics and reporting.
• Support penetration testing activities.

DevSecOps & Automation

• Integrate security tools into CI/CD pipelines.
• Automate application security testing processes.
• Implement security gates for software releases.
• Support secure containerization and cloud-native applications.
• Improve security monitoring and alerting capabilities.

Compliance & Governance

• Ensure applications meet security and compliance requirements.
• Support security audits and assessments.
• Maintain application security policies and standards.
• Assist in regulatory compliance initiatives.
• Promote security awareness among development teams.

Collaboration & Incident Support

• Work closely with Software Engineers, DevOps Engineers, and Security Teams.
• Participate in incident investigations involving application security issues.
• Provide technical security recommendations to stakeholders.
• Contribute to security training and knowledge-sharing initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Software Engineering, or a related field.
• 3+ years of experience in Application Security, Software Security, or Cybersecurity.
• Experience with secure coding principles and SDLC processes.
• Strong understanding of web application security concepts.
• Experience conducting vulnerability assessments and code reviews.
• Knowledge of authentication, authorization, and access control mechanisms.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with DevSecOps practices.
• Knowledge of cloud security (AWS, Azure, GCP).
• Familiarity with container security and Kubernetes.
• Experience in threat modeling.
• Knowledge of API security and microservices security.
• Security certifications are highly preferred.

Technical Skills

Security Testing

• SAST
• DAST
• IAST
• Software Composition Analysis (SCA)
• Penetration Testing
• Vulnerability Assessment

Programming Languages

• Python
• Java
• JavaScript
• C#
• C/C++
• Go

Security Tools

• Burp Suite
• OWASP ZAP
• Checkmarx
• Veracode
• Fortify
• SonarQube
• Snyk
• GitHub Advanced Security

Cloud & DevSecOps

• AWS Security Services
• Microsoft Azure Security
• Google Cloud Security
• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• GitLab CI/CD

Security Frameworks

• OWASP Top 10
• OWASP ASVS
• NIST Cybersecurity Framework
• CIS Controls
• Secure SDLC

Soft Skills

• Strong Communication Skills
• Problem Solving
• Risk Assessment
• Team Collaboration
• Technical Documentation
• Critical Thinking
• Attention to Detail

Job Summary

We are seeking a highly skilled OT/ICS Security Engineer to protect and secure Operational Technology (OT) and Industrial Control System (ICS) environments across critical infrastructure, manufacturing, energy, utilities, and industrial operations. The ideal candidate will assess risks, implement security controls, monitor industrial networks, and support cybersecurity initiatives that ensure the availability, integrity, and resilience of industrial systems.

Job Description

The OT/ICS Security Engineer is responsible for designing, implementing, and maintaining cybersecurity solutions for industrial environments, including SCADA systems, Distributed Control Systems (DCS), Programmable Logic Controllers (PLCs), and Industrial Internet of Things (IIoT) devices. This role collaborates with engineering, operations, and IT security teams to protect critical infrastructure from cyber threats while maintaining operational continuity.

Key Responsibilities

• Design and implement security controls for OT and ICS environments.
• Conduct cybersecurity risk assessments of industrial systems and assets.
• Monitor OT networks for suspicious activities and security incidents.
• Perform vulnerability assessments and security audits on industrial control systems.
• Develop and maintain OT cybersecurity policies, standards, and procedures.
• Support incident response and forensic investigations involving OT environments.
• Secure SCADA, DCS, PLC, and IIoT devices against cyber threats.
• Collaborate with operations and engineering teams to implement secure architectures.
• Evaluate and deploy OT security technologies such as network segmentation, intrusion detection systems, and asset management solutions.
• Assist with compliance initiatives related to industrial cybersecurity frameworks.
• Develop disaster recovery and cyber resilience strategies for operational technology environments.
• Perform threat modeling and security architecture reviews for industrial systems.
• Stay current on emerging threats, vulnerabilities, and best practices affecting critical infrastructure.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, or related field.
• 3+ years of experience in OT Security, ICS Security, Industrial Networking, or Cybersecurity Engineering.
• Knowledge of industrial control systems and operational technology environments.
• Experience with SCADA, DCS, PLCs, HMIs, and industrial communication protocols.
• Understanding of cybersecurity principles, risk management, and network security.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Technical Skills

OT & Industrial Technologies

• SCADA Systems
• PLC Programming & Security
• Distributed Control Systems (DCS)
• Industrial IoT (IIoT)
• Human Machine Interfaces (HMI)

Industrial Protocols

• Modbus
• DNP3
• OPC-UA
• BACnet
• EtherNet/IP
• PROFINET

Security Technologies

• Industrial IDS/IPS
• SIEM Platforms
• Network Segmentation
• Vulnerability Management
• Asset Discovery Tools
• Threat Detection & Monitoring

Security Frameworks

• National Institute of Standards and Technology Cybersecurity Framework
• International Society of Automation/IEC 62443
• North American Electric Reliability Corporation CIP
• International Organization for Standardization 27001

Preferred Certifications

• GICSP (Global Industrial Cyber Security Professional)
• CISSP
• CISM
• Security+
• GIAC GRID
• Certified SCADA Security Architect (CSSA)

Industries Hiring OT/ICS Security Engineers

• Energy & Utilities
• Oil & Gas
• Manufacturing
• Transportation
• Water Treatment Facilities
• Smart Infrastructure
• Critical Infrastructure Protection
• Aerospace & Defense