[Remote] Technical Program Manager, Infrastructure & Capacity Management at Cohere

New York, New York, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

5+ years of experience as a Technical Program Manager
3+ years working with infrastructure teams, with solid understanding of project and program management challenges in this space
Proficiency with Github & Grafana, ability to read Terraform, and comfort onboarding into new technologies
Practical experience with full lifecycle management of compute resources (GPUs, CPUs, VMs etc.), hands-on or as TPM
Blend of experience at the intersection of software, hardware, and machine learning, particularly GPUs for ML training and inference
Hands-on experience coordinating large-scale, company-wide programs in deeply technical spaces
Experience in highly dynamic, fast-paced environments, balancing speed and structure
(Bonus) Experience managing projects/programs related to serving and efficiency of LLMs
(Bonus) Past experience in a technical role (e.g., infrastructure engineer, software engineer, machine learning engineer)
Based on East Coast or within an hour of GMT

Responsibilities

Coordinate with internal and external teams (cloud providers, GPU manufacturers etc.) to manage full lifecycle of compute resources, emphasizing GPUs
Lead end-to-end programs in infrastructure from planning and execution to cross-functional coordination and stakeholder management
Collaborate with technical and non-technical teams to set, track, and manage timelines, deliverables, budgets, scope etc
Manage overlapping projects and programs, ruthlessly prioritizing to meet company’s top priorities
Work with leadership to anticipate and plan capacity needs, turning them into practical execution plans for allocation, tracking, and management
Deliver clear, timely, consistent updates across engineering, leadership, and non-technical teams on monthly container releases and wider model launches

Skills

Technical Program Management

Infrastructure Management

Capacity Management

GPU Management

Cloud Platforms

LLM Models

Cross-Functional Coordination

Stakeholder Management

Program Planning

Execution

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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