The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of societys 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
CZIs 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 Youll 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 Youll 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 domain-specific users preferably in scientific or technical environments.
- Experience applying AI models and agentic workflows (e.g. LLM-based agents multi-step reasoning systems) to life science research problems.
- Demonstrated ability to work collaboratively with interdisciplinary teams and external partners.
- Excellent communication skills with the ability to translate complex scientific and technical concepts for diverse audiences.
- Passion for CZIs mission and a desire to drive scientific progress through technology.
- (nice to have) Experience working with cutting-edge biological imaging technology.
Compensation
The Redwood City CA base pay range for this role is $241000-$362000. New hires are typically hired into the lower portion of the range enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience as evaluated throughout the interview process.
Benefits for the Whole You
Were thankful to have an incredible team behind our work. To honor their commitment we offer a wide range of benefits to support the people who make all we do possible.
- CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Annual benefit for employees that can be used most meaningfully for them and their families such as housing student loan repayment childcare commuter costs or other life needs.
- CZI Life of Service Gifts are awarded to employees to live the mission and support the causes closest to them.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving to the Bay Area
- And more!
If youre interested in a role but your previous experience doesnt perfectly align with each qualification in the job description we still encourage you to apply as you may be the perfect fit for this or another role.
Explore ourwork modesbenefits andinterview processat
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