Technical Program Manager, Post-Training & LLM Evaluation

DeepMind Technologies Limited; New York (NY); Hybrid; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Benefits package

Job summary

DeepMind Technologies Limited is seeking a Technical Program Manager to lead complex, multi-disciplinary engineering projects focused on post-training activities for Gemini/LLMs. You will plan requirements with internal customers, manage schedules, identify risks, and collaborate with researchers and engineers to drive Gemini releases.

You will apply program-management methods across data, evaluations, and modeling initiatives, balancing rapid progress with risk control.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 5 years of program management experience required.
• 8+ years in PM preferred; leadership of cross-functional teams.
• Familiarity with LLM post-training lifecycle (training data pipelines, SFT, RL, evaluation).
• Knowledge of software and ML development lifecycles; partner with product management.
• Ability to navigate ambiguity and influence outcomes without direct authority.

Responsibilities

• Lead end-to-end delivery of complex engineering projects with research and engineering teams.
• Plan requirements with internal customers and manage schedules and risks.
• Coordinate dependencies across data pipelines, evaluation platforms, compute resources, and partners.
• Translate technical progress into decision-ready updates for leadership.

Skills

Program management

Cross-functional collaboration

LLM post-training lifecycle

Software/ML lifecycles

Influence without authority

Adaptability

Education

Bachelor's degree in a technical field or equivalent practical experience

Job description

DeepMind Technologies Limited is seeking a Technical Program Manager to lead complex, multi-disciplinary engineering projects focused on post-training activities for Gemini/LLMs. You will plan requirements with internal customers, manage schedules, identify risks, and collaborate with researchers and engineers to drive Gemini releases.

You will apply program-management methods across data, evaluations, and modeling initiatives, balancing rapid progress with risk control.