Manager, Engineering (AI Posture) Job at Palo Alto Networks (Santa Clara)

Manager / Sr Manager, Engineering (AI Posture)

Location

United States , Santa Clara

Salary:

185000.00 - 298000.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5-7 years of experience managing software engineering teams within a large-scale organization
5+ years of hands-on software engineering experience with a strong systems-level foundation
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end
Demonstrated experience leading teams through the delivery of complex, data-rich web applications with a focus on performance and usability
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives

Job Responsibility

Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact
Partner closely with Product Management and cross-functional teams (Infrastructure, UX, SRE & QA) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery
Provide architectural leadership for scalable, distributed systems guiding the design and implementation of high-throughput, cloud-native applications
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security

Fulltime

Engineering Manager II - AI & Security

Location

Netherlands , Amsterdam

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Proven engineering leadership experience managing teams in platform, infrastructure, or related domains at scale
Strong ability to operate in ambiguous problem spaces and translate them into clear technical direction
Working knowledge of security fundamentals (e.g., access control, data protection, secure system design), with the ability to partner effectively with domain experts
Experience building or working with ML/AI-driven systems
Track record of shipping and scaling production systems
Strong collaboration and communication skills across engineering, product, and security stakeholders

Job Responsibility

Lead and grow a high-performing team of software engineers and applied scientists, setting a high bar for execution, technical rigor, and collaboration
Define and drive the roadmap for security and AI-driven systems, translating ambiguous problem spaces into clear priorities and deliverables
Build intelligent systems that automate detection, classification, and remediation of risks across code, data, and infrastructure
Secure AI-powered applications through continuous evaluation, monitoring, and defense against emerging threats (e.g., prompt injection, data leakage, model misuse)
Partner with infrastructure, data, and product teams to embed security controls and signals into the developer ecosystem
Scale systems and processes that improve security posture while maintaining developer velocity

Fulltime

Senior Manager, AI & ML Engineering

You will be a leader in Alter Domus' AI & ML engineering organization driving en...

Location

United Kingdom , London

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, data engineering, or AI/ML engineering roles
5+ years managing technical teams, including experience managing managers
Deep expertise with Python, modern ML frameworks (PyTorch, TensorFlow), and data science ecosystems
Production experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and agentic frameworks (LangChain, LangGraph etc)
Strong understanding of vector databases, RAG and GraphRAG architectures, and semantic search
Experience with cloud platforms (AWS, Azure or GCP), microservices, APIs, and containerization (Docker/Kubernetes)
Proven track record delivering enterprise AI/ML solutions at scale
Experience with portfolio management, budget ownership, and ROI tracking and OKRs

Job Responsibility

Help define and drive the multi-year technical roadmap for Alter Domus' AI platforms
Make critical build-buy-partner decisions for AI/ML capabilities
Sponsor platform modernization programs and guide the evolution from proof-of-concept to production-scale AI solutions
Drive measurable and accurate business outcomes through AI adoption
Lead the technical architecture for RAG and GraphRAG pipelines, multi-agent orchestration, and LLM based documents processing technologies
Manage portfolio resource mix and capital allocation
Collaborate with business leaders to define product strategy
Monitor AI/ML market trends, competitor capabilities, and emerging technologies
Build business cases with clear ROI tracking
Design sustainable cost structure for the AI/ML portfolio

What we offer

Support for professional accreditations such as ACCA and study leave
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Senior Manager, AI & ML Engineering

You will be a leader in Alter Domus' AI & ML engineering organization driving en...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, data engineering, or AI/ML engineering roles
5+ years managing technical teams, including experience managing managers
Deep expertise with Python, modern ML frameworks (PyTorch, TensorFlow), and data science ecosystems
Production experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and agentic frameworks (LangChain, LangGraph etc)
Strong understanding of vector databases, RAG and GraphRAG architectures, and semantic search
Experience with cloud platforms (AWS, Azure or GCP), microservices, APIs, and containerization (Docker/Kubernetes)
Proven track record delivering enterprise AI/ML solutions at scale
Experience with portfolio management, budget ownership, and ROI tracking and OKRs

Job Responsibility

Help define and drive the multi-year technical roadmap for Alter Domus' AI platforms
Make critical build-buy-partner decisions for AI/ML capabilities
Sponsor platform modernization programs and guide the evolution from proof-of-concept to production-scale AI solutions
Drive measurable and accurate business outcomes through AI adoption
Lead the technical architecture for RAG and GraphRAG pipelines, multi-agent orchestration, and LLM based documents processing technologies
Manage portfolio resource mix and capital allocation
Collaborate with business leaders to define product strategy
Monitor AI/ML market trends, competitor capabilities, and emerging technologies
Build business cases with clear ROI tracking
Design sustainable cost structure for the AI/ML portfolio

What we offer

Support for professional accreditations such as ACCA and study leave
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Fulltime

Engineering Lead, AI Application Engineering

Ema is on a mission to redefine the future of work by building a Universal AI Em...

Location

India , Bengaluru

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

8+ years in software/solutions architecture, including 3+ years with LLM or event-driven systems
Expert in Python, REST/JSON APIs, and cloud infrastructure (GCP, AWS, or Azure)
Proven record deploying AI systems in enterprise environments
Familiarity with agent frameworks like LangChain, Semantic Kernel, or similar
Experience integrating SaaS platforms like CRM, ATS, ERP
Strong understanding of RBAC, SSO (Okta/AD), and security standards
Outstanding communication and executive presence in high-stakes environments

Job Responsibility

Workflow Discovery & Solution Design: Lead discovery workshops to understand human workflows, pain points, data flows, and integration needs. Translate business objectives into AI architecture blueprints covering integration, data, security, and success metrics. Author and maintain “AI-Employee” design documents to guide implementation from blueprint to SLOs
Data Integration & Action Building: Use declarative connectors and APIs to ingest, normalize, and secure data from enterprise systems (CRM, ERP, ATS, etc.). Build and maintain reusable action blocks using REST/SOAP/RPA and integrate them into agent-based workflows
Agentic Reasoning & Prompt Engineering: Design and compose reasoning agents using modern frameworks (e.g., LangChain, Semantic Kernel). Tune prompts, set up memory management, and define mesh topologies to ensure robust agentic reasoning. Own prompt evaluation, experiment design (A/A, A/B), and rollback strategies
Human-AI Interaction: Define and implement user interaction flows by integrating with Slack, Microsoft Teams, widgets, or customer-facing apps. Ensure seamless handoff between automated and human-in-the-loop experiences
Monitoring, Metrics & Observability: Define success metrics, KPIs, and SLOs
wire them into dashboards, alerts, and observability systems. Steward observability packs, including Terraform/Helm configurations and alerting strategies
Security, Identity & Permissions: Enforce zero-trust identity patterns including SSO (Okta/AD) and RBAC. Own auditing, access control, and compliance posture across deployments
Collaboration & Continuous Improvement: Lead technical, architectural, and security reviews with internal teams and customer stakeholders. Partner with CVEs and system integrators to unblock issues and ensure deployment success. Monitor production system health and performance, lead continuous-improvement sprints, and codify learnings into reusable playbooks and runbooks. Maintain registries of versioned prompts, connectors, and action templates to support scale and reuse. Channel field insights to Product and ML teams to refine roadmap and platform capabilities

Fulltime

Principal Product Manager - AI Governance (Azure AI Foundry)

AI is transforming how organizations operate, and with it comes a new frontier o...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree AND 8+ years in product management, program management, or technical leadership roles OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Deep familiarity with AI/ML systems, model governance, or enterprise compliance frameworks
Proven experience driving cross-functional initiatives with engineering, security, and policy teams
Excellent communication skills with demonstrated ability to influence across organizational boundaries
10+ years of product management or applied AI experience, ideally in enterprise cloud or responsible AI domains
Knowledge of AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001, SOC 2, etc.)
Experience building or integrating security, compliance, or observability products
Familiarity with agentic AI systems and associated risk classes (e.g., sensitive data leakage, prohibited actions, task drift, jailbreaks)

Job Responsibility

Lead the AI Governance product area within Azure AI Foundry — defining the long-term vision, strategy, and roadmap for policy management, compliance automation, and regulatory readiness
Design and deliver core governance experiences, including agent-level policies, data sensitivity signals, prohibited action controls, and AI system compliance dashboards
Integrate Foundry governance with Microsoft’s broader security and compliance stack — Entra (identity and A2A policies), Purview (data classification and DLP), and Defender (threat insights)
Translate emerging AI regulations (EU AI Act, ISO 42001, NIST AI RMF) into actionable platform capabilities and customer experiences
Partner with Responsible AI researchers and engineering teams to operationalize ethical principles into measurable safeguards and evaluators
Collaborate with customers, industry bodies, and policymakers to help shape standards for trustworthy AI deployment
Establish and track success metrics (governance coverage, compliance posture, customer adoption), ensuring measurable impact and clarity across engineering and partner orgs
Represent the product in executive and customer forums, evangelizing Microsoft’s approach to responsible, governed AI systems

Fulltime

Engineering Manager II, Core Security Engineering

The Security Engineering team at Uber is focused on making the production and co...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
4+ years full-time work experience in software engineering, product development and/or security engineering prior to Engineering Management experience
3+ years full-time Engineering Management work experience
Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++) and code reviews
Deep understanding of software engineering fundamentals, including algorithms, data structures, distributed systems, system design, and architecture
Proven experience in owning critical and large-scale infra services/systems
Proven ability to lead technical projects end-to-end, from design through deployment
Strong problem-solving and decision-making skills with a bias for action
Ability to problems solve and make complex decisions with incomplete information in ambiguous situations and environments
Experience building and scaling teams while maintaining a culture of technical excellence

Job Responsibility

Set team direction by identifying technical priorities and opportunities, managing expectations, and considering tradeoffs
Empower delivery by forming actionable plans, allocating responsibilities, and maintaining productivity across engineering teams with well-defined goals and metrics
Develop team structure in alignment with broader organizational strategy and vision, owning: hiring, performance management, and employee development of individual contributors
Empower the team to excel in their roles by providing mentorship, guidance, and professional development opportunities
Provide technical leadership on delivering impactful solutions while maintaining technical excellence
Provide thought leadership in leveraging Generative AI and Machine Learning to shift-left security
Partner with cross-functional teams, including trip related core services, software networking, various business verticals (U4B, UberHealth) and compliance(PSD2, SOX, HIPAA), to enhance the organization’s security posture
Communicate security risks, architectural gaps, and solutions to stakeholders at all levels, ensuring clarity and alignment
Stay informed on emerging security threats, trends, and technologies to continuously enhance security practices

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Principal Service Engineering Manager

Microsoft Digital (MSD) builds and manages the critical products and services th...

Location

United States , Redmond

Salary:

142800.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 6+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience.

Job Responsibility

Lead and grow the MSD MultiTenant US engineering team: hire, develop, calibrate, and retain engineering and program management talent
Own technical direction and delivery across the MSD M365 MultiTenant program, including M365 administration, AI administration, tenant onboarding, and operational tooling
Partner with the India MultiTenant lead to operate as one global team with consistent engineering standards
Represent MSD MultiTenant to M365 partner teams, MSD leadership, and other partner orgs
influence cross-org roadmaps
Drive engineering excellence: design reviews, live site posture, telemetry, and incident response practices
Own people manager rhythms: 1:1s, growth planning, performance management, and team health.

Fulltime

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Manager, Engineering (AI Posture)

Job Description

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