Head of Software Engineering, Bellwether

Head of Software Engineering, Bellwether 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 team's 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 project's 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 project's 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 don't, 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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