Privacy Engineer, Red Team Job at Meta (Menlo Park)

Senior Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
3+ years in technical engineering roles building large-scale services.
Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
Proven ability to design, build, and ship agentic AI features or frameworks.
Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

Job Responsibility

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI.
Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.
Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Fulltime

Principal Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...

Location

United States , Redmond, WA

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience
8+ years in technical engineering roles building large-scale services
8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
Proven ability to design, build, and ship agentic AI features or frameworks
Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
understanding of AI safety evaluation methodologies including adversarial testing and red-teaming

Job Responsibility

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement
Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios
Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions

Fulltime

Principal Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
8+ years in technical engineering roles building large-scale services
6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
Proven ability to design, build, and ship agentic AI features or frameworks
Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses

Job Responsibility

Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement
Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios
Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions
Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers

Fulltime

Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to tackle some of the hardest ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
4+ years of hands‑on experience building and shipping machine learning systems in production.
Solid foundation in ML fundamentals, including classification, anomaly detection, representation learning, and model evaluation.
Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
Experience designing end‑to‑end ML pipelines: data collection, training, evaluation, deployment, and monitoring.
Ability to reason about adversarial behavior, threat models, and failure modes in AI/ML systems.
Experience working on AI safety, trust, or security‑adjacent ML problems, including prompt injection, abuse detection, or adversarial ML.
Familiarity with agentic or LLM‑based systems, including tool calling, multi‑step reasoning, or orchestration flows.
Experience building ML evaluation and observability systems for real‑world AI behavior (e.g., adversarial testing, red‑team loops, robustness metrics).
Exposure to distributed ML systems, large‑scale data processing, or model serving in cloud environments.

Job Responsibility

Design, train, and deploy ML‑based defenses for threats such as prompt injection, adversarial inputs, and abuse of agentic workflows.
Develop adaptive detection and policy models that learn from evolving attacker behavior rather than relying solely on static rules or signatures.
Build and own evaluation frameworks for AI security, including adversarial testing, red‑teaming support, and continuous robustness measurement across real Copilot scenarios.
Partner with security and engineering teams to integrate ML defenses into secure orchestration frameworks that govern agent delegation, tool calling, and action execution.
Apply ML to encode security “common sense” and judgment into AI responses, balancing usefulness, safety, and user intent.
Monitor and analyze telemetry to improve model performance, reduce false positives/negatives, and guide iterative defense improvements.
Collaborate cross‑functionally with product, privacy, and AI platform teams to land agentic security patterns across Copilot and MAI.
Document and share applied ML security techniques, helping establish best practices for secure agentic AI across Microsoft.

Fulltime

Security and Application Security Engineer

Beacon Technologies is seeking a Security and Application Security Engineer. The...

Location

United States , Las Vegas

Salary:

Not provided

Beacon Technologies

Expiration Date

Until further notice

Requirements

Minimum of five years of Information Security experience with at least two years of application-level security
Strong communication skills: ability to convey and document security guidelines, requirements, and coding best practices
Familiarity with Security Best Practices in common coding languages
Application Penetration Testing / API Security Testing
Software Development Life Cycle Design and Implementation
Static and Dynamic Application Testing Tools and Methods
Container and orchestration security (Kubernetes, Docker, Octopus, GitHub, etc.)
Familiarity with Application Security Testing Frameworks such as OWASP
Strong logical and analytical thinker
exceptional skills in security systems solutions

Job Responsibility

Operate as a liaison between the Security Team and the Development Teams
Preserve PCI and SOX Security Certification programs with a primary focus on ensuring compliance with the appropriate industry standards and security controls
Supporting incident response and architecture review whenever applications security expertise is needed
Integrating threat modeling practices into the SDLC
Work with other staff to perform periodic scans and evaluation of system security including areas such as patch management, penetration testing, vulnerability assessments, and other types of InfoSec-related tasks
Assist in identifying and communicating security exposures, information security incidents or non-compliance situations to IT management or the CISO as appropriate. Duties may also include collecting and documenting cyber security and incident response event data as necessary.

What we offer

Career advancement opportunities
extensive training
excellent benefits including paying for health and dental premiums for salaried employees.

Fulltime

Field Chief Security Officer

Glean is seeking a Field CSO to serve as Glean’s executive, customer‑facing secu...

Location

United States , Palo Alto

Salary:

260000.00 - 320000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

10+ years in information security with executive‑level customer engagement
former CISO/CSO, Deputy CISO, Security Architect/Strategist, or advisory CISO experience strongly preferred
Deep command of enterprise security and cloud/SaaS controls: identity/SSO, least‑privilege, encryption at rest/in transit, key management, audit logging/SIEM, data residency/sovereignty, and third‑party risk
Hands‑on familiarity with major frameworks and regulatory needs: SOC 2 Type II, ISO 27001, GDPR/DPAs, HIPAA, and public sector expectations (e.g., TX‑RAMP
familiarity with FedRAMP requirements helpful)
Demonstrated experience guiding customers through DPIAs/PIAs, vendor assessments, and contractual security annexes
ability to compress complex risk into clear executive decisions
Practical understanding of AI/LLM security risks and mitigations: retrieval‑augmented generation (RAG) security, prompt injection defenses, jailbreak resistance, model access policies, and agent guardrails aligned to source permissions
Exceptional communication and storytelling skills with C‑suite and boards
proven impact in late‑stage deals and customer expansions

Job Responsibility

Act as the primary executive security advisor for named strategic accounts, partnering with Sales, SE, and CS to shape security strategy, deployment patterns, and program design for Glean’s Work AI platform
Lead and expedite security due diligence: DPIAs/PIAs, vendor risk assessments, data flow documentation, LLM‑related risk mitigations, and control mapping to frameworks (e.g., SOC 2, ISO 27001, HIPAA, GDPR, FedRAMP‑adjacent asks, TX‑RAMP)
Build compelling risk narratives and decision memos for C‑suite and Boards that connect security, privacy, and compliance outcomes to measurable business value and adoption
Serve as an executive “title match” in late‑stage cycles
join roadmap and architecture reviews to clear risk blockers and accelerate time‑to‑value
Publish and present Glean’s AI security and governance point of view (talks, webinars, whitepapers, playbooks), with pragmatic guidance on topics like single‑tenant SaaS, customer‑hosted deployments, data residency, encryption and key management, permissions mirroring, and agent guardrails
Develop reusable artifacts for the field: RFP/RFI security templates, reference architectures, policy/control mappings, DPIA/PIA kits, incident communications templates, SIEM export and audit logging guides
Partner with Glean Product, Security/Privacy, and Legal on “voice of customer” for features and policies (e.g., residency, SIEM/audit integrations, data lifecycle, model controls, red‑teaming, prompt‑injection defenses, allow/deny model policies)
Co‑design adoption and governance programs with customer security, IT, data, and privacy teams, including role‑based access, retention, redaction, secrets and PII controls, and ongoing audit practices
Advise on AI governance operating models: risk tiering for use cases, human‑in‑the‑loop controls, evaluation gates, and production guardrails for agents and workflows

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

Field Chief Security Officer

Field CSO to serve as Glean’s executive, customer‑facing security leader for pro...

Location

United States

Salary:

260000.00 - 320000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

10+ years in information security with executive‑level customer engagement
former CISO/CSO, Deputy CISO, Security Architect/Strategist, or advisory CISO experience strongly preferred
Deep command of enterprise security and cloud/SaaS controls: identity/SSO, least‑privilege, encryption at rest/in transit, key management, audit logging/SIEM, data residency/sovereignty, and third‑party risk
Hands‑on familiarity with major frameworks and regulatory needs: SOC 2 Type II, ISO 27001, GDPR/DPAs, HIPAA, and public sector expectations (e.g., TX‑RAMP
familiarity with FedRAMP requirements helpful)
Demonstrated experience guiding customers through DPIAs/PIAs, vendor assessments, and contractual security annexes
ability to compress complex risk into clear executive decisions
Practical understanding of AI/LLM security risks and mitigations: retrieval‑augmented generation (RAG) security, prompt injection defenses, jailbreak resistance, model access policies, and agent guardrails aligned to source permissions
Exceptional communication and storytelling skills with C‑suite and boards
proven impact in late‑stage deals and customer expansions

Job Responsibility

Act as the primary executive security advisor for named strategic accounts, partnering with Sales, SE, and CS to shape security strategy, deployment patterns, and program design for Glean’s Work AI platform
Lead and expedite security due diligence: DPIAs/PIAs, vendor risk assessments, data flow documentation, LLM‑related risk mitigations, and control mapping to frameworks (e.g., SOC 2, ISO 27001, HIPAA, GDPR, FedRAMP‑adjacent asks, TX‑RAMP)
Build compelling risk narratives and decision memos for C‑suite and Boards that connect security, privacy, and compliance outcomes to measurable business value and adoption
Serve as an executive “title match” in late‑stage cycles
join roadmap and architecture reviews to clear risk blockers and accelerate time‑to‑value
Publish and present Glean’s AI security and governance point of view (talks, webinars, whitepapers, playbooks), with pragmatic guidance on topics like single‑tenant SaaS, customer‑hosted deployments, data residency, encryption and key management, permissions mirroring, and agent guardrails
Develop reusable artifacts for the field: RFP/RFI security templates, reference architectures, policy/control mappings, DPIA/PIA kits, incident communications templates, SIEM export and audit logging guides
Partner with Glean Product, Security/Privacy, and Legal on “voice of customer” for features and policies (e.g., residency, SIEM/audit integrations, data lifecycle, model controls, red‑teaming, prompt‑injection defenses, allow/deny model policies)
Co‑design adoption and governance programs with customer security, IT, data, and privacy teams, including role‑based access, retention, redaction, secrets and PII controls, and ongoing audit practices
Advise on AI governance operating models: risk tiering for use cases, human‑in‑the‑loop controls, evaluation gates, and production guardrails for agents and workflows

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

Head of Information Security

As River Island’s Head of Information Security, you’ll play a strategic and hand...

Location

United Kingdom , West London

Salary:

Not provided

River Island

Expiration Date

Until further notice

Requirements

Proven experience in a senior information security role, ideally within a complex, multi-channel retail or technology environment
Strong technical grounding across key security domains: network, cloud, endpoint, application, and data security
Experience managing or working with vulnerability management tools, SIEM/SOC environments, and incident response processes
Familiarity with frameworks and standards such as ISO 27001, NIST, CIS, PCI DSS, and GDPR
Excellent communication and stakeholder management skills, with the ability to influence at all levels of the organisation
Analytical, pragmatic, and calm under pressure — with a focus on enabling the business, not blocking it

Job Responsibility

Define, implement, and evolve River Island’s information security strategy in line with business objectives, regulatory obligations, and risk appetite
Lead the development and maintenance of Information Security policies, standards, and controls, ensuring alignment with frameworks such as ISO 27001, NIST CSF, and the SANS Top 18
Define and report security KPIs/KRIs to senior management to senior leadership representing risk posture, compliance status, and strategic improvement initiatives
Own and manage the Information Security Risk Register
ensure risks are assessed, documented, and mitigated effectively
Lead compliance efforts across GDPR, PCI DSS, and other applicable regulations
Conduct and coordinate enterprise-wide risk assessments, audits, and internal reviews
Champion a pragmatic, risk-based approach to security — balancing protection, productivity, and customer experience
Own and govern IAM standards (RBAC, joiner/mover/leaver, privileged access, MFA, SSO) across corporate, store and customer-facing platforms
Oversee operational security activities, including threat detection, vulnerability management, and incident response

What we offer

Generous 50% staff discount so you can treat yourself to the latest products, and a bargain staff shop on site
Reducing Islanders everyday expenses through discounts, benefits, financial advice, wellbeing solutions and more through Reward Gateway
A free onsite gym, subsidised restaurant & café to fill you needs
Various social events to socialise throughout the year
Every family is unique, we support Islanders with all different family setups enhanced maternity, paternity, adoption & fertility treatment
We also work closely with the Retail Trust to create dedicated support for all our Islanders
Flexible working is a given, on top of payday and summer early finish Fridays
Give as you earn scheme, a ‘Giver Island’ day each year and receive matched funding
Support with upskilling through on the job training and qualifications
A succession plan if you want to progress

Fulltime

Privacy Engineer, Red Team

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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