Our San Francisco client is on a mission to combat climate change, improve food security, and alleviate poverty by building a global measurement, reporting, and verification (MRV) platform for high-integrity carbon removal and storage. With groundbreaking technological innovation using ground truth sampling, remote sensing, and AI modeling, they are accurately and scalably measuring soil carbon to incentivize the adoption of sustainable practices. As a public-benefit corporation, they are backed by world-class investors such as Floodgate, John Doerr, Kleiner Perkins, Sheryl Sandberg, Ponderosa Ventures, 776 Foundation (Alexis Ohanian), George Roberts, and Stanford’s TomKat Center for Sustainable Energy. Our client is seeking a proactive and collaborative self-starter with at least 5 years of experience building and owning a complete end-to-end technology stack to join their interdisciplinary team.
Qualifications:
The successful candidate will have a track record of shipping and going through the full product development cycle, setting up the technology stack and development infrastructure, and developing infrastructure/pipelines to support Machine Learning/Remote Sensing workflows. While experience in climate/agriculture is a plus, a passion for climate is a must! Multidisciplinary teamwork, as well as understanding how to support Machine Learning and Remote Sensing workflows, is also highly valued. If you care deeply about climate change and feel a strong moral responsibility to act now, apply today!
Requirements:
- 5-10 years of relevant professional experience after college
- Experience shipping and building products from 0 to 1
- Worked as an early employee in a technical role at a startup and has some leadership experience managing technical teams
- Experience as an early employee at top-tier startups and open-source work
- Passion for climate change and strong moral responsibility to act
- Multidisciplinary team work experience, preferably in software and healthcare
- Understanding of how to support machine learning and remote sensing workflows
Qualifications:
- 5+ years of experience building and owning a complete end-to-end technology stack (Frontend + Backend + Cloud + CI/CD)
- A track record of shipping and going through the full product development cycle right from writing the first line of code to product in the hands of users and iterating quickly on feedback
- Experience with setting up the technology stack and development infrastructure from Day 1 and scaling it with growth
- Ability to develop infrastructure/pipelines to support Machine Learning / Remote Sensing workflows
- Proactive and collaborative self-starter with a strong ability to attract other top technical talent and lead them effectively
- Past experience working in climate/agriculture is not a requirement, but a passion for climate is a plus!
- Past multidisciplinary teamwork (i.e. e.g. working on software in healthcare) is a huge plus, as you will be working with an interdisciplinary team with expertise in AI, Remote Sensing, Carbon Markets, Soil Carbon Modeling, Sustainable Finance
- Machine Learning and Remote Sensing experience is not required, but understanding how to support these workflows (e.g. setting up data pipelines, setting up infrastructure to parallelize model runs, automating the deployment of models to integrate with the core MRV product) is a huge bonus!
- You care deeply about climate change and feel a strong moral responsibility to act now. This extends into all facets of your life: both personal and professional. No action is too small and no goal is too big. Whether you have turned vegan or swear by public transport, we are big believers in embracing sustainability as a mindset and would love to learn what this means for you!