[Remote] Infra & Enterprise Management Technical Product Manager at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

5+ years of product management experience, preferably in security, infrastructure, or enterprise software
Strong understanding of enterprise software controls and admin surface areas
Technical familiarity with cloud and on-premise deployment models, security concepts, virtualization, and containerization
Ability to collaborate effectively with engineering, security, and customer-facing teams across time zones
Persistence and a "whatever-it-takes" approach to ensure the success of the product

Responsibilities

Own the multi-environment deployment strategy and execution for cloud (AWS, Azure, GCP), on-premise, air-gapped, and hybrid environments
Define the strategy and execute the roadmap for enterprise identity, spanning access management (IAM) solutions and authentication protocols (e.g., OIDC, Oauth 2.0, SCIM, RBAC) and advanced admin controls
Collaborate with engineering, security, and customer-facing teams to design and deliver secure deployment solutions
Develop and maintain the product roadmap for infrastructure and enterprise-management features, ensuring alignment with business goals and customer needs
Work closely with cross-functional teams to integrate security best practices across the platform
Partner with customers to understand their security and enterprise requirements and ensure North meets their needs

Skills

Cohere

Provides NLP tools and LLMs via API

About Cohere

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.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

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.

Differentiation

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.

Upsides

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.

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