Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management, leading multi-disciplinary projects.
- Experience managing programs related to compliance, safety, or risk management.
- Experience in AI/ML systems, with a focus on Google Cloud Platform (GCP), Vertex AI, and BigQuery.
- Experience in applying Agile Project Management methodologies for de-risking and auditing technical programs.
Preferred qualifications:
- Understanding of security operations principles, architectures, technologies, and challenges.
- Ability to learn and apply new technologies and systems with minimal guidance.
- Ability to work in a dynamic, fast-paced environment and pivot as project needs and emerging company priorities change.
- Ability to have a portfolio of successful technical program management in fields relevant to data orchestration, visualization, and automation.
- Excellent communication skills tailored for audiences coupled with robust planning and execution capabilities.
About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
- Act as the liaison between the security and AI/ML teams to ensure the Vertex AI and Gemini in Security agents have high-fidelity, low-latency access to contextual data from Spanner Graph.
- Architect and develop robust data pipelines to ingest, process, and transform structured, semi-structured, and unstructured data from various security tools.
- Lead the definition, implementation, and continuous refinement of the Autonomous Response Agent's playbooks to ensure swift, machine-speed containment.
- Utilize agile methodologies and other program management tools to enhance team effectiveness and project delivery.
- Govern and build the pipeline for sensitive enterprise data, ensuring data flow is correctly configured to perform mandated data minimization, pseudonymization, and anonymization.
