Senior Director – Software Engineering – Science
| Company | Chan Zuckerberg Initiative |
|---|---|
| Location | San Carlos, CA, USA |
| Salary | $323000 – $485000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- Over 10-15 years in technology leadership roles, including experience leading engineering and data science teams
- A deep understanding of machine learning and AI, building infrastructure, services, and scalable technology stack
- Exceptional communication ability; fosters effective collaboration and empathy with diverse organizational and external stakeholders
- Proficient in aligning technology strategies with the organization’s broader business goals and objectives
- Robust analytical skills coupled with the ability to solve complex technology challenges effectively
- A history of working with and understanding the unique needs of organizations and teams across multiple disciplines
Responsibilities
- Provide engineering and data science teams with leadership, mentoring, and management
- Through our partnerships with researchers and the scientific community and the work of our software team, we create experiences, tools, and platforms that integrate research, practices, and content
- Develop and implement a strategic technology roadmap for our Science initiative long-term vision—technical platforms, ensuring alignment with our organizational vision and objectives
- Uphold a standard of technical excellence, ensuring adherence to best practices in software development, machine learning, and platform architecture
- Cultivate a culture of trust and ethical AI practices, leading a team committed to deploying secure, state-of-the-art AI solutions that strictly comply with global data protection and privacy standards
- Lead a team of over 50 engineering and data science professionals, managing resources, timelines, and project scopes
- Utilize AI/ML solutions to address complex, real-world challenges, applying theoretical knowledge to create and improve practical, impactful products and services
- Focus on hiring, building, and developing a skilled team to meet organizational needs, ensuring they have the required expertise and capabilities
- Collaborate with scientific leaders and technology developers within the Science ecosystem and partner organizations to develop frameworks, data foundations, and architectures supporting our strategic vision
Preferred Qualifications
- A passion for innovation and scaling in scientific tools
- A demonstrated talent for leadership in the ML/AI domain
- An unwavering commitment to achieving ambitious goals
- A passion for experimentation and exploration