Cloud Optimization Data Analyst

Toronto, Palo Alto, San Francisco

Applications have closed

Cohere

Cohere provides industry-leading large language models (LLMs) and RAG capabilities, tailored to meet the needs of enterprise use cases that solve real-world problems.

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Who are we?We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 
We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 53k citations) and was previously part of Google Brain. Our entire technical team is world-class. 
We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Cloud Optimization Data Analyst you will:

  • Act as a bridge between finance and engineering to surface underused resources, track commitments, and generally manage our cloud provider costs
  • Track, analyze, and report on cloud expenses for engineering teams
  • Recommend commitments & optimizations for engineering teams
  • Build reports that link endpoint & model usage to system costs
  • Own the organization’s labeling strategies for team & financial resource tracking

You may be a good fit if:

  • Experience with public cloud cost management mechanics and tools (native / 3rd party)
  • You are an experienced analytics professional
  • You have experience in effective IT cost management strategies and understanding of cloud billing processes and procedures
  • You’re passionate about driving a culture proactive cost management, transparency and optimization across public cloud spend
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
Our Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend✈️ 6 weeks of vacation and shared Canada/US/UK holidays 
#LI-Remote

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs CoHere Engineering Finance GCP Google Cloud LLMs Machine Learning Research

Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Parental leave

Regions: Remote/Anywhere North America
Countries: Canada United States
Job stats:  25  5  0
Category: Analyst Jobs

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