Software engineer, AI Product
Software engineer, AI Product

Software engineer, AI Product

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to develop AI tools for sustainability reporting and drive real impact.
  • Company: Watershed, a mission-driven startup focused on enterprise sustainability.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Why this job: Be a technical leader in building innovative AI solutions for global companies.
  • Qualifications: Experience with LLMs, full-stack development, and leading cross-functional teams.
  • Other info: Work in a dynamic office environment with excellent career advancement opportunities.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Location: London

Type: Full-Time

Department: 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. We hope that you’ll be interested in joining us!

The role

We’re 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’ll 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.

Software engineer, AI Product employer: Watershed

Watershed is an exceptional employer, offering a dynamic work environment in London where innovation meets purpose. As a mission-driven startup, we foster a collaborative culture that encourages personal and professional growth, providing employees with the opportunity to work on cutting-edge AI technologies while contributing to meaningful sustainability efforts. With a strong focus on employee well-being and inclusivity, Watershed ensures that every team member feels valued and empowered to make a real impact.
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Contact Detail:

Watershed Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software engineer, AI Product

✨Tip Number 1

Network like a pro! Reach out to current employees at Watershed on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

✨Tip Number 2

Prepare for those technical interviews! Brush up on your coding skills and be ready to discuss your experience with LLMs and machine learning technologies. Practice common coding challenges and be ready to showcase your problem-solving skills.

✨Tip Number 3

Show your passion for sustainability! Make sure to highlight your interest in climate and ESG data during your interviews. Share any relevant projects or experiences that demonstrate your commitment to making a difference in this field.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Watershed team!

We think you need these skills to ace Software engineer, AI Product

Experience with LLMs
Experience with embeddings
Machine Learning technologies
Full lifecycle product development
Product deployment and monitoring
Cross-functional team leadership
Understanding of machine learning models
Model evaluation and performance
Full-stack development skills
Technical strategy collaboration
Information extraction
Report generation
Performance optimisation
Code testing and maintainability

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the 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 official website! This helps us keep track of all applications and ensures you’re considered for the role. Plus, it’s super easy to do!

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 Skills

Prepare examples of products you've built or contributed to, especially those that relate to sustainability or AI. Highlight your role in the full lifecycle of these products, from prototyping to deployment, and be ready to explain your thought process.

✨Collaborate Like a Pro

Since this role involves working with cross-functional teams, think of instances where you've successfully collaborated with others. Be prepared to share how you communicate and align with different stakeholders to achieve common goals.

✨Stay Updated on AI Trends

Familiarise yourself with the latest developments in AI and sustainability. Being able to discuss current trends and how they could impact Watershed will show your passion for the field and your commitment to continuous learning.

Software engineer, AI Product
Watershed
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