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For Companies At a Glance
- Tasks: Join us as an AI software engineer to build cutting-edge sustainability tools.
- Company: Watershed is a leading enterprise sustainability platform used by top companies worldwide.
- Benefits: Enjoy hybrid work, collaborate with a dynamic team, and contribute to meaningful climate solutions.
- Other info: Work from our London HQ four days a week and join a diverse, inclusive culture.
- Why this job: Be part of a mission-driven startup shaping the future of sustainability with innovative AI technology.
- Qualifications: Experience with LLMs, full-stack development, and leading cross-functional teams in fast-paced environments.
The predicted salary is between 36000 - 60000 £ per year.
About Watershed
Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.
We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you’ll be interested in joining us!
The role
We’re looking for a software engineer to join our sustainability AI reporting team. You will be a member of a cross functional team building world class AI tools for companies to manage and report on their progress in sustainability. You’ll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help build the technical foundations for AI at Watershed.
We are looking for this hire to be based in our HQ in London 4 days per week.
In this role you will:
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Ship code to production on day one
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Prototype, develop and iterate on a new product area for Watershed, giving our customers powerful AI tools for information extraction and report generation
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Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
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Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed
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Write performant, well-crafted, tested, and maintainable code across our technical stack
You might be a good fit if you have:
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Have 3+ years of software engineering industry experience, preferably in Node.js web development
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Have experience building customer facing products starting from user needs
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Are excited to join a startup and are ready to help evolve a growing engineering team
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Strong full-stack development skills
Must be willing to work from an office 4 days per week (except for remote roles)
Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.
What’s the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.
What if I need accommodations for my interview?
At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.
Software engineer, AI product employer: Watershed
Contact Detail:
Watershed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software engineer, AI product
✨Tip Number 1
Familiarise yourself with Watershed's mission and the specific AI technologies they use, such as LLMs and embeddings. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in their work.
✨Tip Number 2
Network with current or former employees of Watershed on platforms like LinkedIn. They can provide insights into the company culture and the skills that are most valued, which can give you an edge in your discussions.
✨Tip Number 3
Prepare to discuss your experience with full lifecycle product development, especially in fast-paced environments. Be ready to share specific examples of how you've led cross-functional teams and tackled challenges in previous projects.
✨Tip Number 4
Stay updated on the latest trends in AI and sustainability. Being able to discuss recent advancements or case studies in these areas during your interview will show that you're proactive and passionate about the field.
We think you need these skills to ace Software engineer, AI product
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the job description for the Software Engineer position at Watershed. Familiarise yourself with the technologies mentioned, such as LLMs and embeddings, and think about how your experience aligns with their needs.
Tailor Your CV: Customise your CV to highlight relevant experience in AI and software engineering. Emphasise any projects where you've used machine learning technologies or led cross-functional teams, as these are key aspects of the role.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for sustainability and product-building. Mention specific examples of how you've contributed to similar projects in the past and express your enthusiasm for joining Watershed.
Prepare for Interviews: Anticipate the types of questions you might face during the interview process. Be ready to discuss your technical expertise, problem-solving abilities, and how you can contribute to Watershed's mission. Practising coding challenges may also be beneficial.
How to prepare for a job interview at Watershed
✨Showcase Your AI Knowledge
Make sure to highlight your experience with LLMs, embeddings, and other machine learning technologies. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will demonstrate your technical expertise.
✨Demonstrate Full-Stack Skills
Since the role requires strong full-stack development skills, be ready to talk about your experience across the entire tech stack. Share examples of how you've built, deployed, and maintained applications, focusing on your problem-solving abilities.
✨Prepare for Collaborative Scenarios
Watershed values collaboration, so think of examples where you've led cross-functional teams or worked closely with product managers. Discuss how you approach teamwork in fast-paced environments, as this will show you're a good cultural fit.
✨Stay Updated on AI Trends
Research the latest developments in AI and machine learning. Being able to discuss current trends and how they could apply to Watershed's mission will impress your interviewers and show your commitment to continuous learning.