Staff Technical Program Manager, Machine Learning

New
C
CohereGenerative AI
We are remote-first and accept candidates from all over the world, within 1-2 hours of British Standard Time (BST)Full-TimeStaff
Salary not disclosed
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Job Details

Experience
5-10 years as a Technical Program Manager AND 5+ years of experience working directly on AI/ML.
Required Skills
Machine LearningNLP

Requirements

  • Have 5–10 years of experience as a Technical Program Manager.
  • Have 5+ years of experience working directly on AI/ML.
  • Bring in-depth machine learning knowledge, particularly in Natural Language Processing and Large Language Models (LLMs).
  • Have experience managing projects and programs in AI/ML development.
  • Have experience working in chaotic, fast-paced, low-structure environments and operating at both tactical and strategic levels.
  • Have managed programs requiring general business acumen, such as coordinating with Finance on reporting or Policy on regulatory compliance.
  • Experience working directly on building foundation models is strongly preferred.
  • Multimodal AI experience is a bonus.
  • Hands-on technical experience is preferred; training models is not required.

Responsibilities

  • Establish, improve, and scale foundational processes for the Generative Modeling teams.
  • Scale the operational capacity and effectiveness of the Modeling TPM team in collaboration with the Modeling TPM lead.
  • Adapt to long-horizon programs and ambiguous short-term challenges as company and team needs change.
  • Partner with leaders within and outside the Modeling organization on efforts to design, train, and improve core generative models.
  • Lead cross-functional and company-wide programs with Product, Engineering, Legal, Platform, Infra, Policy, and Finance.
  • Improve engineering execution rigor and operations while contributing to long-term strategic planning with senior modeling leadership.
  • Map dependencies and risks, coordinate cross-functional execution, and communicate status to technical and non-technical stakeholders and senior management.
  • Maintain communication of priorities, ideas, and knowledge throughout and beyond the Modeling organization.
  • Clarify scope and manage resource needs in response to program-level changes and evolving priorities.
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