The Company

We are excited to partner with Community Energy Labs to hire their Head of Engineering.

Community Energy Labs enables buildings to use energy when clean sources of power are available and to use less energy overall by making smart decisions about when and how energy is used. They primarily work with community buildings and schools - buildings that make up nearly 30% of the commercial floor space in the US!

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Community Energy Labs, its employees, and its customers are driven to be a part of the solution to saving our planet. Their software combines cutting edge control algorithms, machine learning, and traditional control techniques to lower cost and manage energy. They combine that with an intuitive user interface that makes saving money and the planet easy for everyone - even cash-strapped schools with overworked building operators.

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CEL's core AI-powered clean building control platform concept was a regional winner of CleanTech Open's 2020 international accelerator, an overall winner in the 2020 Madrona Venture  Labs Go Vertical challenge, a three time SBIR winner with the Department of Energy, USDA, and NSF. CEL is a community member in Elemental Excelerator, Google for Startups and other prestigious accelerators.

Your Impact (Responsibilities)

You'll partner closely with our founder and CEO leading products from our current prototype to launching v1.0 and beyond. We are looking for an experienced technologist who knows how to build a team that collaborates effectively with product and customer functions.

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As CEL’s first Head of Engineering you have the opportunity to work with caring, smart and passionate colleagues. You'll build, lead, and manage our first complete engineering team. You'll be the go-to person for all things strategic and tactical, translating your work with our CEO, business and customer teams into technical roadmaps, tasks, performance management, and team development.

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This role will be rigorous, fun and rewarding. It requires a wide-ranging skill set.

• Experienced building enterprise SaaS, iot & /or ML engineering teams
• Willing to communicate & teach technical & non-technical audiences
• Embrace simplification in code, architecture & processes
• Comfortable with the high level of flexibility, accountability & transparency required to be fully remote
• Hybrid, or, Fully remote full-time salaried position (US west coast time zones highly preferred)
• Travel is expected, but not frequent

About You

• Bachelor's degree in Computer Science, Engineering, or a comparable understanding of programming & architectural principles
• 5-10 years of software development experience, with a full stack background
• Demonstrated skill working closely with product on product engineering at a software company
• Experience with the full employee lifecycle, from hiring, to managing performance, to letting folks go
  

Skills & Abilities

• Service orientation toward partnering with your peers at the company
• Strong leadership skills in software development & deployment
• Argue like you’re right & listen like you’re wrong
• Can handle rapid changes while steering the team & staying calm
• Proficiency in modern programming languages, frameworks & development tools such as Python, TypeScript, React, Node.js, GraphQL, k8s, Redis, Postgres & edge/IoT management & development tools.
• Experience architecting cloud computing environments & managed services such as: AWS; Azure; GCP
• Strong grasp of Agile, DevOps & CI/CD
• Strong analytical, debugging & troubleshooting skills
• Enough exposure to hardware or devices that you can make intelligent decisions re: protocol drivers, build versus buy (Rust, C++, other lower level languages)
• Solid written & verbal communication skills
• Demonstrated ability to mentor less senior engineers & staff
• Strong judgment, decision making & prioritizing skills

Nice to Have

• 3+ years of professional experience at a startup or small business
• Experience scaling B2B or enterprise IoT & SaaS applications from alpha prototype to version 1.0
• Familiarity with: automation; building energy modeling; energy & utilities; protocols specific to IoT, buildings & energy such as: BACnet, Modbus, DNP3, OpenADR
• Management experience with or adjacent to Data Science, AI/ML