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Manager of Technical Staff, Agent Code Teams

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a Lead for the Agent Code Teams to spearhead this effort. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight.

This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and lead a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work.

Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.


As the Lead for the Agent Code Teams, you will:

  • Stay up-to-date with the latest research in code LLMs, agents, and related fields, leading the implementation of novel ideas into our systems.

  • Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling

  • Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs.

  • Collaborate with cross-functional teams to integrate agent systems into real-world applications.

  • Mentor and guide team members, fostering a culture of innovation and continuous learning.

You may be a good fit if you have:

  • A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

  • Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends.

  • Hands-on experience with frontier LLMs and their applications in code generation or automation.

  • Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks.

  • Experience with distributed systems, cloud infrastructure, and scalable architectures.

  • Excellent communication and organizational skills, with the ability to lead and motivate a team.

  • A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems.

Bonus Points:

  • Experience managing or leading technical teams.

  • Familiarity with reinforcement learning or multi-agent systems

  • Contributions to open-source projects or tools related to code LLMs or agents.

What We Offer:

  • The opportunity to work on cutting-edge problems at the intersection of AI, code generation, and autonomous agents.

  • Access to world-class compute resources, data, and a collaborative team of researchers and engineers.

  • A remote-friendly, flexible work environment with a focus on impact and innovation.

  • Competitive compensation and benefits, including equity in a fast-growing AI company.

If you’re passionate about shaping the future of code LLMs and agent systems, and thrive in a dynamic, research-driven environment, we’d love to hear from you!

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 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 6 months for employees based in Canada, the US, and the UK

🎨 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 and London and co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

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Average salary estimate

$150000 / YEARLY (est.)
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$120000K
$180000K

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What You Should Know About Manager of Technical Staff, Agent Code Teams, Cohere

Are you ready to make an incredible impact in the AI landscape? At Cohere, we're on a mission to scale intelligence that serves humanity, and we're looking for a talented Manager of Technical Staff for our Agent Code Teams. This position is all about leading the charge in developing cutting-edge code-generating large language models (LLMs) and autonomous agents that will revolutionize how software is built. You're joining a dynamic team of passionate researchers, engineers, and designers who are at the top of their fields. In this role, you’ll dive into the latest research, experiment with frontier models, and guide a skilled team to deliver scalable, production-ready solutions. Your work won’t just be theoretical; you will implement innovative strategies using state-of-the-art compute resources and collaborate with cross-functional teams to integrate our agent systems into real-world applications. If you have a PhD in Computer Science or a related field and possess a strong background in code LLMs, this is your chance to shape the future. At Cohere, we believe in pushing the boundaries of AI technology while fostering a culture of continuous learning and innovation. Plus, our remote-friendly environment provides the flexibility you need, ensuring effective collaboration across time zones. If you're looking for a meaningful challenge in a fast-paced setting, then joining Cohere as the Manager of Technical Staff could be your next great adventure in AI!

Frequently Asked Questions (FAQs) for Manager of Technical Staff, Agent Code Teams Role at Cohere
What are the main responsibilities of the Manager of Technical Staff at Cohere?

As the Manager of Technical Staff at Cohere, you will lead the Agent Code Teams to develop innovative code-generating LLMs and autonomous agents. Your responsibilities include staying current with the latest research, designing scalable strategies for model training, conducting experiments, and collaborating with cross-functional teams to integrate your systems into real-world applications.

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What qualifications do I need to apply for the Manager of Technical Staff position at Cohere?

To qualify for the Manager of Technical Staff position at Cohere, candidates should hold a PhD in Computer Science, Machine Learning, or a related field. Deep expertise in code LLMs and agent systems, along with strong software engineering skills in frameworks like Python, PyTorch, or TensorFlow, are essential for success in this role.

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Is prior management experience required for the Manager of Technical Staff role at Cohere?

While prior management experience is beneficial, it is not a strict requirement for the Manager of Technical Staff role at Cohere. The ideal candidate should possess strong leadership qualities and a proactive mindset to mentor team members and foster a culture of innovation and learning during their time at Cohere.

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What does the work culture look like at Cohere for a Manager of Technical Staff?

Cohere offers an open and inclusive work culture that emphasizes collaboration and innovation. As the Manager of Technical Staff, you will join a diverse team dedicated to pushing the boundaries of AI technology, and you will also enjoy perks such as flexible work hours, remote options, and access to world-class resources.

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What are the opportunities for professional development for the Manager of Technical Staff at Cohere?

At Cohere, professional development is highly valued. The Manager of Technical Staff will have opportunities to grow by attending conferences, participating in training sessions, and collaborating with leading experts in the field. The culture encourages continuous learning and provides access to cutting-edge research and resources.

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Common Interview Questions for Manager of Technical Staff, Agent Code Teams
Can you describe your experience with code-generating LLMs?

To effectively answer this question, share specific projects where you utilized code-generating LLMs. Discuss the techniques you applied, challenges you faced, and the outcomes of your work to showcase your practical experience and understanding of the technology.

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How do you stay up-to-date with the latest research in AI and LLMs?

In your response, point out your strategies for keeping current with industry advancements, such as following AI research journals, attending relevant conferences, and engaging with the community through discussions. Highlight how this knowledge influences your work.

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What strategies do you implement for training scalable models?

Share specific methodologies you have used in past projects, discussing your approach to model training, optimization techniques, and your experiences with scaling challenges in production scenarios to illustrate your expertise.

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Can you give examples of successful team collaborations you've led?

Provide a brief overview of specific instances where you led cross-functional teams, detailing the project objectives, how you facilitated communication, the problem-solving techniques employed, and the final achievements of the team.

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What challenges have you encountered in building agent systems, and how have you overcome them?

Discuss real-world challenges you've faced in agent system development, along with the strategies you employed to address them. Illustrate your critical thinking and problem-solving skills during your explanation.

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Describe your experience with Python and related frameworks.

Explain your proficiency in Python and any frameworks like PyTorch or TensorFlow, giving examples of projects where you've utilized them effectively. Discuss aspects such as performance optimization and development practices.

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Why do you believe it’s important to foster a culture of innovation in a technical team?

Articulate your views on the importance of innovation in technology development, linking it to team motivation, engagement, and the overall success of projects. Mention how you have promoted innovation in past roles.

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How do you handle tight deadlines and high-pressure situations?

Share your strategies for managing stress and time effectively, providing examples of how you prioritized tasks, delegated responsibilities, and maintained focus on project goals to meet challenging deadlines.

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What is your approach to mentoring and guiding team members?

Discuss your mentoring style and how you’ve aided in the professional growth of team members in the past, emphasizing specific examples of how you’ve provided guidance, support, and feedback.

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What excites you most about the future of code LLMs and autonomous agents?

Share your insights on the future potential of these technologies, describing specific trends, applications, or opportunities you believe will be transformative in the field, and how you want to contribute to this evolution.

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Cohere, founded by AI pioneers, offers a leading enterprise AI platform that combines ease-of-use, data privacy, and unparalleled flexibility with its cloud-agnostic and API-accessible services,

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Full-time, remote
DATE POSTED
April 11, 2025

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