What are the responsibilities and job description for the Technical Program Manager - Developer Productivity position at Cerebras?
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As demand for AI continues to accelerate, how to scale and improve engineering productivity become one of the company’s most strategic challenges.
We are looking for an experienced Technical Program Manager to help lead the cross functional team programs to ensure we have right strategy and execution to deliver what are needed to scale the engineering. This role will work directly with different engineering teams, IT, Infrastructure, Security, Operations, and executive leadership to maximize our engineering productivity so that we can our customer demands without linearly increase the team size.
Responsibilities
About
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As demand for AI continues to accelerate, how to scale and improve engineering productivity become one of the company’s most strategic challenges.
We are looking for an experienced Technical Program Manager to help lead the cross functional team programs to ensure we have right strategy and execution to deliver what are needed to scale the engineering. This role will work directly with different engineering teams, IT, Infrastructure, Security, Operations, and executive leadership to maximize our engineering productivity so that we can our customer demands without linearly increase the team size.
Responsibilities
- Be responsible for defining and delivering important programs with broad organizational, business and technical impact in Dev Productivity domain.
- Provide cross-functional leadership with Engineering and Product Management, and inter/intra team communications to deliver outstanding program outcomes.
- Bring strong, data-driven and strategic technical judgment to decisions.
- Be hands-on, working closely with Software Engineers and Product Managers to design, build, and deliver the next generation of Snowflake services and apps.
- Amplify your impact by educating and mentoring the TPM and Engineering communities on program management best practices.
- Identify opportunities to improve execution of the organization as a whole, to increase engineering productivity through tools and light-weight processes. (Snowflake happens to have a nice data platform to use
- 5 years of demonstrated industry experience and expertise leading medium to large complex engineering projects in current cloud technologies
- Ability to thrive and succeed in a dynamic environment not slowed down by ambiguity or competing priorities
- Experience working cross functionally with engineering, product management, and other functions involved in the product life cycle
- Strong program management skills with technical and business acumen
- Effective verbal and written communication and presentation skills, with the ability to interact with technical and non-technical groups
- Excellent analytical, problem-solving, consultation and organizational skills
- BS/MS/PhD degree in Computer Science, Engineering, or related fields or equivalent practical experience (e.g. familiarity with SQL, Python, Data)
About
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.