What You'll Do:
- Lead a cross-functional team in the implementation of complex features and enhancements.
- Write great software. We believe the only way to be a great Engineering Manager is to continue to be a great engineer. Managers are expected to build and deliver software, participate in code reviews and perform testing.
- Mentor and provide career guidance to the engineers on your team.
- Collaborate with peers, within and outside the team, to help develop a long-term vision for our engineering practices and tooling.
- Consistently lead teams to deliver compelling products, features and services while providing transparent updates, timeline estimates, and demos along the way.
- Participate in defining and fulfilling the engineering hiring plan for the team, including screening and interviewing.
- Help ensure that our coding standards and patterns are observed by participating in design discussions, testing and code reviews.
- Assist our support team and operations team in triaging and resolving production issues, including participating in on-call rotation.
- 1:1s and performance discussions with team members.
What You Should Have:
- 3+ years of engineering management experience leading productive, high-functioning teams.
- You can describe why these teams were high functioning and what you specifically did to ensure engineers felt productive.
- You bring a contagious enthusiasm for the potential of AI to empower users to create incredible content and experiences.
- You are a strong communicator with the ability to explain complex technical concepts to designers, support, and other engineers, and you don't shy away from difficult and constructive conversations with your team.
- You possess strong computer science fundamentals: data structures, algorithms, programming languages, asynchronous programming, and memory management and have applied these at significant scale.
- You have a bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship or work experience.
- You are a thoughtful, trustworthy, doer.
Nice to Haves:
- You have hands-on experience with large language models and generative vision models, and you can clearly articulate their key components, strengths, and limitations.
- You are proficient in a related field, such as Applied AI, Machine Learning, Data Engineering, Data Science, Applied Mathematics or a similar discipline.
- You have experience managing software projects that prioritize reliability in non-deterministic systems, address bias mitigation, and uphold ethical standards around transparency and fairness in AI.
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