Hiring: Senior Technical Program Manager, Model Behavior, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-12 11:02:07 Target Skills & Keywords : AI, LLM, Machine Learning, Program Management About the job Experience: •10 years of experience in program management on technical cross-functional projects. •7 years of experience in leadership roles with/without direct reports. •8 years of experience leading large-scale complex programs, including across multiple geographies and time zones. Required Skills: •Learn more about benefits at Google . •Lead mid and post-training programs to align Gemini's style, tone, and behavior with the model specifications and taxonomy, scaling processes for consistent evaluations. •Dive deep into technical details, including losses and behavior evaluations, ensuring they accurately measure targeted problems. •Drive efficiency by streamlining execution, improving tooling, and connecting horizontally with other core modeling teams. •Integrate model behavior into launch processes to ensure consistent and accurate Gemini performance. •Build consensus and influence outcomes across various teams and stakeholders without relying on direct authority while managing high-visibility executive reviews, providing clear program visibility and ensuring smooth execution. Qualifications: •Bachelor's degree in a technical field or equivalent practical experience. •Good understanding of large language models, with knowledge of multi-turn conversations or model behaviour and other alignment related topics in machine learning. •Demonstrated success in fast-moving program execution and deliveries. •Possess excellent communication skills to articulate complex technical concepts clearly to various audiences, including executive leadership. •Passionate about behavior, have a curious mindset to understand and explore how our users engage with Gemini models. •Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams. •We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Compensation: •US: $300000 - $333000 (USD) + 25% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!