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Full-Time

Solutions Architect

Azure

Confirmed live in the last 24 hours

Cohere

Cohere

501-1,000 employees

Provides AI-powered natural language processing

Hardware
Enterprise Software
Crypto & Web3
AI & Machine Learning
Financial Services
Education

Senior

San Francisco, CA, USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
Sales
Jupyter
Data Science
Requirements
  • Proven experience forging GTM strategies with or at Microsoft Azure, showcasing a knack for collaborative success.
  • 5+ years in customer-facing roles, including Solutions Architect or Sales Engineer, with a focus on GTM in pre/post-sales settings.
  • 5+ years dedicated to developing and executing GTM strategies for enterprise products, demonstrating a track record of successful partnership management.
  • 5+ years of experience in architecting and implementing technical solutions within complex enterprise environments.
  • Advanced data science or AI/ML, proficiency in Python and Jupyter Notebooks, capable of rapid prototyping and presenting complex proof of concepts with ease.
  • Exceptional understanding of business dynamics, adept at accelerating the adoption of highly technical solutions through strategic insights.
  • The ability to deeply understand business problems shifting seamlessly between executive-level presentations and technical discovery with customers.
  • A continuous learner with a proven ability to adapt to and leverage emerging technologies, keeping at the forefront of AI innovation.
  • A proactive approach to ambiguity, excelling in dynamic environments by building processes and mechanism to scale success throughout the organization.
Responsibilities
  • Forge strong technical relationships with Microsoft Azure sellers understanding their customers business problems and technological needs to architect solutions that drive significant value.
  • Listen attentively to Microsoft Azure customer challenges, by leading the technical dialogue and showcasing the unique differentiators of Cohere's AI solutions.
  • Dive deep into customer issues, applying your knowledge of Cohere to build impactful PoCs and demos for customers.
  • Guide customers through evaluations and PoCs, demonstrating the value of Cohere’s products by achieving predefined success criteria.
  • 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.

Cohere specializes in language AI, offering powerful embeddings models for understanding text and a Command model for generating and summarizing text. The company emphasizes secure deployment options and customizable models, enabling businesses to leverage world-leading natural language processing (NLP) technology while keeping their data private and secure.

Company Stage

Series C

Total Funding

$440M

Headquarters

Toronto, Canada

Founded

2019

Growth & Insights
Headcount

6 month growth

19%

1 year growth

56%

2 year growth

357%
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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.