At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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.
The role
As a Technical Program Manager in the Portfolio & Process Management (PPM) team, part of the Technical Operations & Analytics (TO&A) team, you will play a crucial role in partnering with the lead and other team members, working across a varied number of priority initiatives. These topics span portfolio management, investment and impact understanding of research work, portfolio management processes, and related technological infrastructure. This position requires project management expertise, consulting toolkit on problem-solving, and the ability to seamlessly collaborate with stakeholders across the organization.
Key responsibilities:
- Strategic Consultancy: Support the TO&A Director and PPM Lead with assessment of opportunities and challenges within the team's scope, providing tailored plans and strategies for rolling out impactful solutions. Producing regular targeted communications to leadership, research and engineering teams.
- Portfolio Tooling & Insights: Drive the creation of portfolio tooling and workflows to enhance impact and investment tracking, roadmap visibility, transfer of research, and identification of risks. Continuously evolve process and tooling to support xGDM portfolio health.
- Portfolio Optimisation: Design and implement portfolio management frameworks for effective resource allocation, communication, and priority alignment. Proactively identify risks and cross-portfolio patterns.
- Data Analytics: Independently conduct portfolio data-analysis, present findings, and collaborate with the data analytics team on complex analysis and on developing new analytics solutions that further enhance portfolio analysis.
- Project management: Overseeing complex projects undertaken by the team, ensuring dependencies are understood and risks are proactively managed.
- Stakeholder Engagement: Build strong partnerships with stakeholders across all levels, understanding their needs and translating them into actionable solutions.
- Team Coaching and Development: Support the development of junior members by providing coaching, guidance, and mentorship to the portfolio management team. Foster a collaborative and high-performing environment.
About you
In order to set you up for success as a Program Manager at Google DeepMind, we look for the following skills and experience:
- Portfolio Management: Excellent understanding of portfolio management principles and best practices, incl. resource allocation, risk management, and performance tracking. Ability to analyze portfolio performance, identify trends, and make data-driven recommendations for optimization.
- Initiative and Problem-Solving: Demonstrated ability to identify challenges, break-down complex problems, and proactively develop individual sustainable solutions towards the overall outcome.
- Technical Proficiency: Understanding of technical concepts and ability to communicate complex ideas effectively.
Stakeholder Management: Proven communication and relationship-building skills to work effectively with diverse stakeholders. Ability to collaborate with and influence stakeholders outside of the core team. - Executive Communication: Drive exec level comms and comfortable with presenting to executives and in landing difficult messages with Directors+
- Adaptability: Comfortable in a fast-paced environment with shifting priorities and comfortable with embracing ambiguity.
- Strong analytical skills and SQL: Including the ability to independently formulate data queries, analyse results, and present insights.
In addition, the following would be an advantage:
- Understanding of AI/Machine Learning concepts and applications and excitement about the research space.
- Experience in project management or product development
- Familiarity with Google processes and/or teams
Application deadline: 24th January 2025, 8am PST.
The US base salary range for this full-time position is between $168000 - $266000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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.
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.
