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Full-Time

Solutions Architect

Posted on 3/22/2024

Cohere

Cohere

501-1,000 employees

Provides NLP tools and LLMs via API

Data & Analytics
AI & Machine Learning

Senior, Expert

Remote in USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Sales
Communications
Jupyter
Git
Natural Language Processing (NLP)
Requirements
  • 5+ years of customer-facing technical pre/post sales Solutions Architect experience
  • 5+ years working with Sales to drive GTM motions
  • 2+ years architecting or deploying cloud-native solutions
  • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's
  • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
  • Comfortable working with Python and Jupyter Notebooks
  • Comfortable using version control/Git
  • Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences
  • High tolerance for ambiguity. You can identify and implement high-impact processes in unstructured environments
Responsibilities
  • Developing a deep understanding of customer problems and mapping them to Cohere solutions
  • Working closely with partners as the trusted technical advisor
  • Building customer Proof of Concepts to showcase the business value of the platform
  • Collaborating with stakeholders to understand business objectives and translate them into technical solutions
  • Serving as the voice of the customer and acting as a liaison between the customer and the product team
  • Providing guidance on best practices for using Cohere and identifying areas for improvement within the platform
  • Cultivating technical champions within customer organizations to drive adoption and gather feedback

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their products enable businesses to improve content generation, summarization, and search capabilities. The API gives access to pre-trained models that can perform various tasks, including text classification, sentiment analysis, and semantic search in multiple languages. Cohere's platform is customizable, allowing companies to create tailored solutions that meet their specific needs. Unlike many competitors, Cohere emphasizes affordability and scalability, making their generative AI tools accessible to a wide range of clients globally. The goal of Cohere is to empower businesses with effective AI tools that enhance communication and understanding across different languages.

Company Stage

Series C

Total Funding

$440M

Headquarters

Toronto, Canada

Founded

2019

Growth & Insights
Headcount

6 month growth

23%

1 year growth

59%

2 year growth

352%
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Simplify's Take

What believers are saying

  • Cohere's valuation has more than doubled in a year, indicating strong investor confidence and growth potential.
  • The company's focus on data privacy and security in AI models is a significant advantage in the enterprise sector.
  • Strategic partnerships with major firms like Fujitsu and Cisco enhance Cohere's market reach and technological capabilities.

What critics are saying

  • The competitive landscape in AI is intense, with rivals like OpenAI and Anthropic continuously releasing more powerful models.
  • Skepticism around the return-on-investment for generative AI tools in enterprises could impact Cohere's market adoption.

What makes Cohere unique

  • Cohere focuses on practical AI applications for enterprises, unlike competitors pursuing artificial general intelligence (AGI).
  • The company has secured significant investment from notable firms like Fujitsu, AMD Ventures, and Cisco, highlighting strong financial backing.
  • Cohere's enterprise-specific large language models (LLMs) like Command R and Command R+ are tailored for business needs, setting them apart from more general AI models.

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