In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Seattle, WA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 3 years of experience with generative AI agents.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 7 years of experience in C++ or Java .
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Familiarity with identity, authentication or security.
- Familiarity with IAM concepts and systems.
About the job
The Google Cloud Platform is at the forefront of the cloud computing industry, and the Identity and Access Management (IAM) team is a cornerstone of its success. The rise of AI agents introduces new paradigms and tests to traditional IAM. AI agents operate accessing various resources and tools, shifting the focus from who has access to what can this agent do and what is it doing?. The potential impact and blast radius of agents can be obscured across multiple systems and policies, making risk assessment difficult. Furthermore, the proliferation of non-human identities and the velocity of agent actions amplify potential risks, while static policies struggle to govern dynamic agent behaviors.
In this role, you will set the technical goal for IAM as we develop security controls for agents. You will oversee the multiple types of access management policies and extend their functionality to build guardrails for first-party/second-party/third-party AI agents. You will ramp up the IAM code base working closely with a team in Seattle, build features and products that will delight our external customers as well as Google Cloud Platform (GCP) services. You will write code while demonstrating thought leadership around building access management policy features.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Lead the end-to-end design and implementation of large-scale GCP authorization systems using AI/ML tools.
- Partner with product managers and engineering leads to define long-term goal and execute complex technical projects in a fast-paced environment.
- Build and operate hyper-reliable, high-performance infrastructure to ensure intuitive and consistently accurate access control.
- Provide leadership across the full development lifecycle, from requirement definition and design to integration, launch, and support.
- Foster collaborative environment while actively mentoring and developing team members.