Senior Technical Program Manager, Applied AI
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Job Description
Senior Technical Program Manager, Applied AI at Google
This posting is for a new vacancy.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Chicago, IL, USA; New York, NY, USA; Sunnyvale, CA, USA.
Minimum Qualifications
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- Experience working with AI Agents and GenAI-native architectures.
- Experience leading customer interactions.
- Experience building out technical roadmaps.
Preferred Qualifications
- 10 years of experience managing complex cross-functional or cross-team projects.
About The Job
As a Delivery Senior Technical Program Manager, Applied AI within Google’s Applied AI team, you will act as the operational glue of the deployment pod. Your primary focus will be driving the startup-like velocity required to move enterprise customers from pilot phases to full-scale production. You will partner closely with the technical Directly Responsible Individual (DRI), providing the project management oversight needed to translate complex technical builds into high-impact business solutions.
Furthermore, you will collaborate with the Leadership Team to establish a transparent program management state for every account. In this structure, you will be the definitive center point for all customer reviews, ensuring a unified voice between the customer’s business goals and Google’s engineering output. You will architect a standardized Customer Health Hub where every account’s state—including Resolution Rate, Latency (TTFT), and Eval Scores—is surfaced in real-time. You will lead these reviews with leadership to ensure global consistency across the portfolio. Weekly audits will be conducted to evaluate the technical friction and stakeholder complexity of each account to ensure no critical deployment hits a bottleneck. Additionally, you will act as the hub connecting all the stakeholders (Solution Architecture, Agent Engineering, and Product) to ensure that technical DRIs remain focused on building while TPMs drive the roadmap, risk mitigation, and executive reporting.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Examples include customer agents for large call center environments and fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences where you work directly with model builders (Google DeepMind / Vertex), learn and collaborate with brilliant AI leaders, and have access to Global 1000 customers via existing Google Cloud relationships. The opportunity in this space is tremendous.
Responsibilities
- Be a highly credible thought leader within Google and the industry on the subject matter domain of the respective organization.
- Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization-wide.
- Lead the implementation of eval pipelines and testing frameworks, ensuring every large language model (LLM) prompt or reasoning update is validated against golden datasets to prevent regressions in agent accuracy, persona alignment, and brand voice.
- Utilize specialized dashboards to monitor agent health, tracking mission-critical KPIs such as accuracy, hallucination rates, and latency to ensure the agent is production ready and provides a fluid, human-like experience.
Key skills/competency
- Program Management
- AI Agents
- GenAI Architectures
- Technical Roadmapping
- Customer Interaction
- Cross-functional Leadership
- Stakeholder Management
- Risk Mitigation
- LLM Evaluation
- KPI Monitoring
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight extensive experience in program management, AI project leadership, and GenAI technologies specific to Google's needs.
- Prepare for technical depth: Understand Google's AI platforms, machine learning lifecycles, and large-scale deployment strategies, especially for LLMs.
- Showcase leadership & impact: Emphasize your ability to lead complex, cross-functional projects, manage stakeholders, and drive business solutions with measurable results.
- Practice behavioral questions: Be ready to discuss how you manage risks, resolve conflicts, and lead customer interactions using the STAR method for interview insights.
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