Why This Job is Featured on The SaaS Jobs
This Data Engineer role stands out in the SaaS landscape because it sits close to the infrastructure layer that enables AI products to be delivered reliably to developers and enterprise customers. Work of this kind tends to shape how usage data, model performance signals, and customer-facing experiences are captured and made actionable, which is increasingly central as AI becomes a core feature set in modern SaaS offerings.
For a SaaS career, the durable value here is fluency in building production-grade data systems that support product decisions and go-to-market learning loops. Experience spanning Python, SQL, distributed processing, and cloud storage patterns translates across analytics engineering, platform data, and product data roles at many SaaS companies. The cross-functional touchpoints described also reflect how data engineering often influences both roadmap prioritisation and measurable outcomes in subscription businesses.
This position is best suited to someone who prefers end-to-end ownership and is comfortable operating where requirements are still being discovered. It should fit a practitioner who enjoys turning messy or unstructured inputs into dependable datasets and who wants their work to be closely connected to real product launches rather than isolated reporting pipelines.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line.
As a Data Engineer, you will:
Work directly on storage infrastructure, product launches, and new customer experiences built on one of the most advanced AI systems in the world
Collaborate daily with researchers and engineers who are some of the best in the world at what they do
Run implementations end-to-end and see initiatives through to real outcomes — no waiting around to be told what to do
Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy
You may be a good fit if you have:
5+ years of experience working on production-grade data processing systems
Strong command of Python and SQL
Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
Experience with modern orchestration platforms, especially Kubernetes (nice to have)
Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt (nice to have)
Knowledge of Java or Golang (nice to have)
Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
