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Snapshot
The role of the Program Management Team is to coordinate and enable our teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize our work, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making progress at pace.
About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Sitting within the GenAI programs, this role is part of the post-training programs team. The Post-Training Program Management team enables the teams to make fast-paced progress towards our mission, and leads operational design and execution across the post-training area. Collaborating closely with researchers and product teams, we focus on delivering the best models and research innovations.
As a Technical Program Manager for Post-Training, you will:
- Scope and drive complex and ambitious programs cutting across multiple teams, manage simultaneous projects balancing between short-term deliveries and setting programs up for long-term success.
- Navigate through ambiguity for complex, rapidly changing projects; adjust and adapt plans and strategies as project conditions change.
- Bring together diverse teams and members for fast-paced deliveries.
- Be the trusted owner of the status of your projects. Clearly identify dependencies/risks/issues, and drive progress and visibility.
- Build strong relationships with key stakeholders and influence action and outcomes without direct authority, ensuring alignment among the stakeholders.
- Have the ability to rapidly grasp technical concepts, contribute to relevant discussions, and translate them into actionable program strategies.
- Be highly organized, self-motivated, and drive process improvements and efficiencies, streamlining processes, simplify execution, and bring tooling efficiencies if applicable.
- Have excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to various audiences and levels including executive management.
The following would be a plus:
- BS degree in Computer Science, Engineering, or related technical field
- 8+ years of leading large-scale engineering projects, preferably across multiple geographies and time zones.
- Demonstrated success in product launch and/or go-to-market execution.
- Strong understanding of ML/AI principles and their distinctions from traditional software development.
- Experience managing multilingual project requirements and deliveries.
The US base salary range for this full-time position is between $168,000 - $266,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm GMT Thursday 8th Nov 2024
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
Top Skills
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
