At a Glance
- Tasks: Join our team to build AI tools for sustainability reporting and data management.
- Company: Watershed, a mission-driven startup focused on enterprise sustainability.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team culture with offices in major cities and remote options.
- Why this job: Make a real impact in sustainability while working with cutting-edge AI technologies.
- Qualifications: Experience with LLMs, machine learning, and full-stack development.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Employment Type: Full time
Location Type: Hybrid
Department: Tech Engineering
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, London, Paris, Berlin, Sydney, Mexico City (launching soon!) and remote team members across the US and Europe.
The role: We are looking for an AI led software engineer to join our sustainability AI reporting team. You will be a technical leader in helping us build a world class AI tool for companies to manage and report on their progress in sustainability. You will leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay 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:
- Prototype, develop and iterate on a new product area for Watershed, giving our customers powerful AI tools for information extraction and report generation
- Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
- Collaborate with product and other AI engineering teams to set product and technical strategy
- Keep up with developments and state‑of‑the‑art in AI to determine what is relevant to Watershed
- Write performant, well‑crafted, tested, and maintainable code across our technical stack
You might be a good fit if you have:
- Experience building products using LLMs, embeddings and other ML technologies
- Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
- Experience leading cross functional teams in an innovative fast moving environment
- A strong foundational understanding of machine learning models and practice, including model evaluation and performance
- 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 and London, and satellite offices in Sydney, Paris, Berlin, and Mexico City (opening summer 2025!). 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.
Staff software engineer, AI product employer: Watershed
Watershed is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration in the heart of London. As a mission-driven startup, we provide our employees with meaningful opportunities to contribute to sustainability efforts while enjoying a hybrid work environment that fosters personal and professional growth. With access to cutting-edge AI technologies and a commitment to inclusivity, Watershed empowers its team members to shape the future of enterprise sustainability.
StudySmarter Expert Advice🤫
We think this is how you could land Staff software engineer, AI product
✨Tip Number 1
Get to know Watershed! Research our mission and values so you can show us how your skills align with what we do. This will help you stand out during interviews and demonstrate your genuine interest in joining our team.
✨Tip Number 2
Practice your coding skills and be ready for technical challenges. Brush up on LLMs and machine learning concepts, as these are key to the role. We want to see your problem-solving abilities in action!
✨Tip Number 3
Network with current employees or alumni from your school who work at Watershed. They can provide insider tips and might even refer you, which can give your application a boost. Plus, it’s a great way to learn more about our culture!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll have access to all the latest job openings and updates directly from us.
We think you need these skills to ace Staff software engineer, AI product
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your experience with LLMs and machine learning technologies, as well as any relevant projects that showcase your skills in product-building.
Show Your Passion for Sustainability:We love candidates who are genuinely interested in sustainability and AI. Share any personal projects or experiences that demonstrate your commitment to these areas, as it shows you align with our mission at Watershed.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep track of all applicants efficiently.
How to prepare for a job interview at Watershed
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, embeddings, and other machine learning technologies. Be ready to discuss how you've used these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Product-Building Passion
Watershed is all about product-building, so come prepared with examples of products you've developed or contributed to. Highlight your role in the process and how your contributions made a difference, especially in sustainability contexts.
✨Collaboration is Key
Since you'll be working with cross-functional teams, be ready to talk about your experience collaborating with others. Share specific examples of how you’ve worked with product managers, designers, or other engineers to achieve a common goal.
✨Stay Updated on AI Trends
Demonstrate your commitment to staying current in the AI field. Mention any recent developments or trends that you find exciting and relevant to Watershed's mission. This shows you're not just technically skilled but also genuinely interested in the industry.
