Why This Job is Featured on The SaaS Jobs
This Senior Member of Technical Staff role sits at the applied end of the AI SaaS stack, where frontier models become usable capabilities for developers and enterprise buyers. It is notable because the work centers on deploying large language models into real product and customer contexts, including semantic search, retrieval augmented generation, and agent-like workflows. The Riyadh location also signals a growing regional footprint for enterprise AI delivery rather than purely research-led work.
For a SaaS career, the value is in building the “last mile” muscle: translating ambiguous customer problems into production systems, then iterating based on outcomes. That combination of solution design, model integration, and cross-functional alignment maps closely to how AI features are shipped in B2B SaaS, where reliability, latency, and evaluation matter as much as model quality. Experience mentoring and setting technical direction also compounds across future platform or applied ML leadership paths.
This role tends to suit senior engineers who prefer ownership across the full lifecycle, from ideation to production, and who are comfortable collaborating directly with external stakeholders. It fits professionals motivated by applied problem solving and pragmatic delivery, especially those who enjoy working at the intersection of product constraints, enterprise requirements, and modern ML tooling.
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?
As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As a Senior Member of Technical Staff, you will:
Plan and execute large-group projects that carry through from ideation to production.Bring cross-functional alignment across engineering, product and other disciplines.
Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on.
Work closely with product teams to develop solutions.
Engage in collaborations with our partner organizations.
Assist our legal teams with preparation of patents on developed IP.
Join us at a pivotal moment, shape what we build and wear multiple hats!
You may be a good fit if you have:
Prior experience in leading ML teams in applied research and production.
Prior experience in setting as well as executing technical direction to build new or to refine existing products.
Prior experience in working cross-discipline in matrixed organizations.
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
Experience using large-scale distributed training and inference.
Strong mentorship, communication, and problem-solving skills.
A demonstrated passion for applied ML models and products.
Working proficiency in Arabic.
Bonus: experience working for B2B companies in the ML space.
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
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!)
