Engineering Program Manager, Enterprise AI (Middle East)

Saudi Arabia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Requirements

Candidates should have at least 5 years of experience as an Engineering or Technical Program Manager, with at least 1 year in LLM training or optimization for a consumer product, fluency in both English and Arabic, and be detail-oriented and extremely self-organized. They should also demonstrate a Bias for Action, experience working with cross-functional teams, and comfort holding leaders and individual contributors accountable.

Responsibilities

As an Engineering Program Manager, the candidate will communicate clearly and provide timely updates, optimize complex issues by driving engineering alignment, create and manage project schedules, ensure on-time delivery, proactively identify and resolve issues, coordinate cross-functional dependencies, and prioritize impacts to schedule and product quality. They will also collaborate with leading minds in the LLM space, working with Platform, Product, and Marketing teams, and contribute to Cohere’s fast-growing product and culture.

Skills

Project Management

Machine Learning

Consumer Software

Engineering Operations

LLM

Platform

Product

Marketing

Communication

Risk Management

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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