Principal Product Manager, AI
Chan Zuckerberg InitiativeAbout the role
The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.
The Team
CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.
Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:
- Building an AI-based virtual cell model to predict and understand cellular behavior
- Developing state-of-the-art imaging systems to observe living cells in action
- Instrumenting tissues to better understand inflammation, a key driver of many diseases
- Engineering and harnessing the immune system for early detection, prevention, and treatment of disease
CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.
The Opportunity
We are seeking a Senior Product Manager with deep expertise at the intersection of artificial intelligence and biology. In this role, you will lead the development of innovative products that apply state-of-the-art AI to accelerate biological research.
As part of the Science Technology (SciTech) team, you will shape products that empower both computational and experimental researchers to use AI for in silico experimentation, hypothesis generation, data interpretation, and biological modeling. You will work across disciplines to identify high-impact opportunities where AI can meaningfully accelerate scientific progress, and translate them into impactful, scalable tools integrated within the CZI Virtual Cells Platform.
Examples include:
- Multi-modal workflows for users to run inference on models using their own data for key tasks like data annotation and comparing data to a reference (e.g. healthy vs disease).
- Tools that enable researchers to run and visualize in silico experiments using AI models, e.g. simulate how specific gene knockouts affect cell behavior in a virtual T-cell model.
- Visualization library for visualizing and interacting with complex, multi-dimensional biological imaging data.
- AI agents that assist experimental biologists in designing experiments by integrating prior datasets, model predictions, and literature insights.
What You'll Do
- Define and drive the product strategy for AI-powered tools and agents that accelerate cell biology research.
- Build AI-powered biological workflows that translate model outputs into usable insights for experimental and computational biologists.
- Collaborate with scientific partners to deeply understand research needs and translate them into AI-driven solutions, bridging the gap between cutting-edge AI research and its real-world application in biological discovery.
- Lead the development and deployment of workflows that leverage models developed by CZI and the scientific community to enable in silico experimentation.
- Work closely with biologists, ML researchers, engineering, and design to deliver products that are intuitive, impactful, and well-integrated into researchers’ workflows.
- Collate and translate the needs of the CZ Imaging research teams into a platform strategy.
- Continuously scout and evaluate emerging AI technologies (e.g., multi-modal models, agentic frameworks) and identify opportunities to integrate cutting-edge technologies.
What You'll Bring
- 12+ years of product management or related experience, including at least 3 years working on AI or machine learning-powered products.
- Strong background in AI/ML product development, with a track record of building products that bridge the gap between complex technology and do
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