Cohere · 3 days ago
Technical Program Manager, Machine Learning & Research
New York, NY
Full-time
Hybrid
Mid, Senior Level
3+ years expCohere is a company dedicated to scaling intelligence to serve humanity by training and deploying frontier models for AI systems. They are seeking a Technical Program Manager to improve processes and lead cross-functional programs within their Generative Machine Learning organization, ensuring timely and efficient delivery of generative models.
Artificial Intelligence (AI)Generative AIMachine LearningNatural Language Processing
Responsibilities
Establish, improve, and scale foundational team-level and program-level processes that allow the Generative Modeling teams to execute better and faster
Partner directly with Gen ML modeling leadership & Members of Technical Staff on efforts to design, train and improve our core generative models
Run cross-functional, oftentimes company-wide programs, collaborating and coordinating with cross-functional teams including Product, Engineering, Legal, Design etc. on delivering generative models on time and within budget & scope
Map out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior management
Coordinate across internal partner teams like Data, Evaluation, Safety, Model Efficiency and Model Serving on cross-team planning and execution to deliver Generative models
Troubleshoot cross-team challenges and build dependable partnerships both within and outside the Generative ML organization
Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout all layers of the tech organization
Respond quickly to program-level changes, clarifying new scope and marshaling resources in response to evolving priorities
Qualification
Required
Have 3-5 years as an Technical Program Manager or Engineering Program Manager or AND 2+ years of experience working directly on AI/ML-powered products
Have in-depth knowledge of how machine learning works, particularly when it comes to NLP and Large Language Models (LLMs)
Have experience with working in a chaotic, fast paced, low structure environment
Have personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space
Preferred
Bonus points for working directly on foundation models
Bonus points for experience with Multimodal AI
Have experience with any ML-adjacent projects and programs, in areas such as Data & Evaluation, Capacity Planning, Model Serving / Efficiency etc
Have technical experience in a hands-on capacity
Benefits
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)
Company
Cohere
Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.
201-500 employees
H1B Sponsorship
Cohere has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (13)
2022 (5)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
$1.71BKey Investors
Government of CanadaTiger Global ManagementIndex Ventures
2025-09-24Series D· $100M
2025-08-14Series D· $500M
2025-06-17Secondary Market
Leadership Team
Aidan Gomez
cofounder + ceo
Ivan Zhang
Co-Founder
Recent News
2025-12-27
2025-12-24
2025-12-20
Company data provided by crunchbase