Head of Software Engineering, Bellwether
2 weeks ago
About The Team: Our team Bellwether operates at the intersection of machine learning tools (including LLMs and traditional ML), geospatial data, and pressing issues with enterprise customers, governments, and more. Our current focus is on severe weather: the manifestations of climate change, such as wildfires. We aim to use a wide range of data and analytics to better understand and predict what these events could mean for communities and businesses across the globe.
The Head of Software Engineering role is pivotal in defining and executing Bellwether's technology strategy. You will manage a growing team of engineers to develop and maintain the teams full technology stack (and evolving ML models and approaches, inclusive of LLMs). You have not only the technical expertise to take on and provide technical leadership to major projects, but also manage and grow its team of engineers.
As a the Head of Software Engineering, you manage the projects goals, contribute to product strategy and help develop your team. This includes fostering collaboration with other SWE teams across the X and Alphabet, in areas such as information retrieval, artificial intelligence, distributed computing, large-scale system design, geo data, networking, security, user interface design, and more.
How You Will Make 10x Impact:
- Mentor and manage technical team members
- Intelligently and strategically use LLMs to further the projects goals
- Collaborate cross-functionally to drive the vision behind Machine Learning solutions and back end infrastructure
- Create and develop prototypes, drafting technical and design documents as necessary
- Provide strong frameworks and guidance for the execution of production-ready code and discern when a focused, hackathon-style approach is most effective for specific, intractable problems
- Engage with external partners to prioritize and incorporate feedback
What You Should Have:
- 10 years of experience in a hands-on technical role
- Experience using large language models for real applications
- Back-end / full-stack engineering experience in a production environment
- 5 years experience in ML/AI (sourcing and processing data to production pipelines)
- Experience liaising with and collaborating directly with customers
- Experience in unstructured work environments with rapidly changing requirements and limited oversight - essentially a start-up or early-stage company experience
- Proven team leadership track record - building and managing engineering teams, setting aggressive goals, and leading complex cross-functional projects.
- Strong verbal and written communication skills
It Would Be Great If You Also Had These:
- Experience founding or being involved in an early stage startup
- Experience working with a wide variety of geospatial data (ok if you dont, but you should be up for a steep learning curve)
The US base salary range for this full-time position is $248,000 - $368,000 + bonus + equity + benefits.
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