Full-Time

Senior Sales Enablement Specialist

Posted on 8/1/2024

Cohere

Cohere

501-1,000 employees

Provides NLP tools and LLMs via API

AI & Machine Learning

Senior, Expert

San Francisco, CA, USA

Hybrid position in San Francisco.

Category
Customer Success Management
Sales & Account Management
Required Skills
Sales
Communications
Management
Marketing
Requirements
  • 5+ years of experience driving sales training and broader sales enablement programs in a fast-paced environment.
  • Highly proficient at building strong, lasting relationships with experienced sales leaders and professionals
  • Excels in execution, establishing priorities, and meeting swift deadlines in a fast-paced, rapidly changing environment
  • Experience in enterprise sales or a sales-driven environment is preferred
  • Passion for developing others
  • Proven success at managing cross-functional teams and partnering with external vendors
  • Excellent written and verbal communication skills in English
  • Highly organized, detailed-oriented, and self-directed
Responsibilities
  • Partner with sales and GTM leadership to build the enablement strategy and plan for our GTM team, including sales process methodology, onboarding/ramp period, sales technology stack, sales-sourced pipeline generation, content management, product briefs, and XFN stakeholder coordination.
  • Design, build, and deliver training content to improve upon the way we sell into all business segments, raising win rates and accelerating ramp time.
  • Develop and partner with our sales leaders to coach their teams to effectively communicate the value of Cohere’s AI products to customers.
  • Partner with key sales’ cross-functional partners (marketing, sales, product, partnerships) and external vendors to launch and optimize processes for sales efficiency and ensure sales is prepared to execute against priorities.
  • Support content development, training, and program management for sales kickoff events.
  • Establish success/ROI criteria for training solutions, measure the impact of enablement solutions, and optimize or pivot based on results.
  • Train across a variety of mediums (e.g., in-person, virtual, eLearning, videos, on-the-job support, management reinforcement & coaching tools).

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Company Stage

Series D

Total Funding

$914.4M

Headquarters

Toronto, Canada

Founded

2019

Growth & Insights
Headcount

6 month growth

4%

1 year growth

5%

2 year growth

8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cohere's AI data center project positions it as a key player in Canadian AI.
  • North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.
  • Cohere's multilingual support breaks language barriers, expanding its global market reach.

What critics are saying

  • Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.
  • Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.
  • High cost of AI data center could strain financial resources if government funding is delayed.

What makes Cohere unique

  • Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.
  • Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.
  • Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

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