Solutions Architect, Cohere
Azure
Natural language processing AI platform
Open for applications
Natural language processing AI platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To build machines that understand the world, and to make them safely accessible to all.
Role
Who you are
- Microsoft Azure Experience: Proven experience forging GTM strategies with or at Microsoft Azure, showcasing a knack for collaborative success
- Customer Engagement: 5+ years in customer-facing roles, including Solutions Architect or Sales Engineer, with a focus on GTM in pre/post-sales settings
- GTM Strategy Expertise: 5+ years dedicated to developing and executing GTM strategies for enterprise products, demonstrating a track record of successful partnership management
- Solution Architecture Proficiency: 5+ years of experience in architecting and implementing technical solutions within complex enterprise environments
- Technical Mastery: Advanced data science or AI/ML, proficiency in Python and Jupyter Notebooks, capable of rapid prototyping and presenting complex proof of concepts with ease
- Business Insight: Exceptional understanding of business dynamics, adept at accelerating the adoption of highly technical solutions through strategic insights
- Communication Excellence: The ability to deeply understand business problems shifting seamlessly between executive-level presentations and technical discovery with customers
- Ability to Rapidly Learn: A continuous learner with a proven ability to adapt to and leverage emerging technologies, keeping at the forefront of AI innovation
- Adaptability & Proactivity: A proactive approach to ambiguity, excelling in dynamic environments by building processes and mechanism to scale success throughout the organization
Desirable
- Advanced AI, NLP, and LLM Knowledge: A strong understanding of AI, natural language processing, and large language models, using this knowledge to create innovative solutions that solve enterprise problems
What the job involves
- We are seeking a Solutions Architect to support the technical GTM relationship of our cutting-edge Large Language Models (LLM) on Azure
- As a Solution Architect supporting our technical GTM relationship on Azure, you will be responsible for supporting the solutioning and enablement of Cohere models on different Microsoft Azure services
- Strategic Partnership Collaboration: Forge strong technical relationships with Microsoft Azure sellers understanding their customers business problems and technological needs to architect solutions that drive significant value
- Support Technical Engagements: Listen attentively to Microsoft Azure customer challenges, by leading the technical dialogue and showcasing the unique differentiators of Cohere's AI solutions
- Innovative Solution Development: Dive deep into customer issues, applying your knowledge of Cohere to build impactful PoCs and demos for customers
- Facilitate Customer Evaluations: Guide customers through evaluations and PoCs, demonstrating the value of Cohere’s products by achieving predefined success criteria
- Cross-Functional Team Leadership: Work with Cohere's Product and Engineering teams as the voice of the customer to provide valuable feedback, ensuring product roadmaps meet and anticipate the evolving needs of our customers
Our take
The AI industry biggest stakeholders insist that the next step in enhancing web experiences will be through natural language interactions. While this may be true, only companies with considerable resources can reasonably address the gap needed to bring NLP to the forefront of web integration. Cohere was founded to address this shortfall between NLP development, widespread usage, and the resources required.
Cohere works on building top-of-the-class NLP processing models and software which it makes available to customers through APIs and custom solutions. In a strategic move, the company has partnered with Google Cloud, giving them access to resources that will undoubtedly push the field of NLP forward. This allows Cohere to serve as middlemen by offering a wide range of customers a product built on unmatched technology.
AI is currently a worldwide talking point and so it is no surprise that Cohere has seen rapid development, and raised $270M in a 2023 funding round. The company plans to introduce a dialogue model that would resemble ChatGPT, however, in this case, its technology would be mainly accessible to developers and businesses.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jul 2024
$500m
SERIES D
Mar 2023
$270m
SERIES C
Total funding: $940m
Company benefits
- We cover 100% of premiums across health, dental, vision & travel
- We offer RRSP, 401K, and Pension Scheme contributions
- We offer lunch and fitness studio credits and a quality time fund which can be spent on things like dog walking and laundry services
- We want everyone who contributes to our success to get a ‘piece of the pie’
- Work Remote & PTO
- We know that some people work better at home, so we are remote-first, and sure that all meetings, events, and opportunities are set up for our distributed team
- Every employee at Cohere gets 6 weeks of paid time off & US and Canadian federal holidays, and we provide unlimited sick days
- All new parents (including those who adopt or go through a surrogate journey) are eligible to receive 100% salary for 6 months in Canada, the US, and the UK
- The decision and journey to having kids is different for each person and family. Part of our commitment to diversity is being able to support the widest variety of these scenarios as we can so we offer financial support for egg freezing and IVF for those in the US, Canada and the UK
- Every employee at Cohere receives an annual $2,000 education fund to use as they please
Company values
- We build for a positive future
- We build for the many
- We always stay curious
- Now never stops, and that's pretty fun
Company HQ
Grange Park, Toronto, ON
Articles
Leadership
Aidan Gomez
(CEO)Has a PhD in Computer Science from Oxford University. Previously worked as a Researcher at Google (Brain) and FOR.ai
Ivan Zhang
(CTO)Previous experience working in research and engineering at For.ai, Cortex labs, Pressly and Ranomics.
Nick Frosst
(CTO)Previously worked as a Research Engineer at Google (Brain).
Salary benchmarks
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