
Move the way you want.
Senior Engineering Manager - Product, Offensive & AI Security
About the Role
As AI-especially GenAI and agentic systems-becomes deeply embedded in modern products, the security landscape is changing rapidly. Traditional App Sec and Offensive Security approaches are no longer sufficient on their own. We are looking for a Senior Engineering Manager to lead teams at the intersection of product security, offensive security, Dev Sec Ops, and AI red teaming.
In this role, you will manage and grow teams of security engineers and managers while setting the technical and strategic direction for how we secure products, platforms, and AI agents at scale. You will be responsible for evolving our offensive and product security programs to address AI-native threats, integrating red teaming into development lifecycles, and ensuring security enables-not blocks-innovation.
This role is ideal for a leader who understands both how attackers think and how modern AI-powered systems are built.
What the Candidate Will Do:
Lead and manage teams of security engineers and managers, setting clear goals, expectations, and career development paths.
Define and own the strategy for Product Security, Offensive Security, and AI Red Teaming, with a strong focus on GenAI and AI agents.
Evolve App Sec and Dev Sec Ops programs to address modern threats, including CI/CD security, secure design reviews, and shift-left practices.
Build and scale AI red-teaming capabilities, covering:
- prompt injection and jailbreaking
- model, tool, and memory poisoning
- behavioral drift and unsafe autonomy
- tool misuse and emergent privilege escalation
Partner closely with product, platform, and AI teams to embed security into system design and delivery.
Oversee bug bounty, penetration testing, and threat modeling programs, ensuring findings drive real remediation.
Translate offensive findings into actionable guardrails, policies, and engineering improvements.
Influence senior leadership, communicating risk, trade-offs, and strategy clearly and credibly.
Stay ahead of emerging AI security threats, ensuring the organization adapts proactively rather than reactively.
Basic Qualifications:
8+ years of experience in security engineering, including application, product, or offensive security.
3+ years of experience managing security engineers and/or managers.
Strong background in:
- Application & product security
- Offensive security / red teaming
- Penetration testing and threat modeling
- Bug bounty programs
Dev Sec Ops practices:
Demonstrated experience building and executing security strategy across multiple teams.
Proven ability to influence cross-functional stakeholders and drive change at scale.
Excellent communication skills, with the ability to explain complex security risks to non-experts.
Preferred Qualifications:
Hands-on experience with AI red teaming or GenAI security, including prompt injection, jailbreaks, or agent misuse.
Strong understanding of GenAI and LLM architectures, and how they change product and offensive security threat models.
Hands-on experience building or operating AI agents, including tool use, memory, or workflow orchestration.
Experience securing cloud-native, distributed systems.
Prior experience scaling security programs in fast-growing engineering organizations.
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For San Francisco, CA-based roles: The base salary range for this role is USD**$267,000 per year**
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USD**$297,000 per year**.
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For Seattle, WA-based roles: The base salary range for this role is USD**$267,000 per year**
-
USD**$297,000 per year**.
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For Sunnyvale, CA-based roles: The base salary range for this role is USD**$267,000 per year**
-
USD**$297,000 per year**.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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关于Uber

Uber
PublicUber Technologies, Inc. is an American multinational transportation company that provides ride-hailing services, courier services, food delivery, and freight transport. It is headquartered in San Francisco, California, and operates in approximately 70 countries and 15,000 cities worldwide.
10,001+
员工数
San Francisco
总部位置
$120B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.1
企 业文化
4.0
职业发展
3.4
管理层
2.5
68%
推荐率
优点
Good compensation and pay
Flexible hours and schedule
Great team culture and colleagues
缺点
Long hours and heavy workload
High pressure and stress during peak times
Poor management and lack of support
薪资范围
15,360个数据点
Mid/L4
Mid/L4 · Data Analyst
3份报告
$209,300
年薪总额
基本工资
$161,000
股票
-
奖金
-
$203,580
$209,300
面试评价
5条评价
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 80%
中性 20%
负面 0%
面试流程
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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