Experienced Enterprise Customer Engineer – Cloud Infrastructure and Artificial Intelligence Solutions Expert
Introduction to arenaflex
arenaflex is at the forefront of the technological revolution, empowering businesses to transform and build what's next for their operations. Our products and services are engineered for security, reliability, and scalability, running the entire stack from infrastructure to applications to devices and hardware. As a leader in the industry, we are dedicated to helping our customers – developers, small and large businesses, academic institutions, and government agencies – see the benefits of our technology come to life.
About the Role
As an Enterprise Customer Engineer at arenaflex, you will play a key role in understanding the needs of our clients and helping shape the future of companies of all sizes. You will be responsible for identifying and assessing large-scale AI opportunities that could benefit from AI-optimized infrastructure. Your expertise will help clients leverage accelerators within their overall cloud approach, enabling them to run benchmarks for current models, find opportunities to apply accelerators for new models, develop migration paths, and optimize performance.
Key Responsibilities
Be a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy through recommending migration paths, integration techniques, and application architectures that incorporate arenaflex Cloud AI optimized infrastructure
Demonstrate how arenaflex Cloud is differentiated, highlighting the power of accelerators by working with clients on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking
Build repeatable assets to enable other clients and internal teams
Influence arenaflex Cloud strategy at the intersection of infrastructure and AI/ML by advocating for corporate customer requirements
Travel to customer sites and events as needed
Qualifications
Essential Qualifications
Bachelor's degree in computer technology, mathematics, or a related technical field, or equivalent practical experience
5 years of experience in cloud infrastructure
Experience building and operationalizing machine learning models
Experience delivering technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria
Desired Qualifications
Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators
Experience running MLPerf benchmarks
Experience with performance profiling tools (e.g., Tensorflow profiler, PyTorch profiler, Tensorboard)
Experience with distributed training and optimizing performance versus costs
Designing/architecting large-scale infrastructure farms for professional AI use cases
Ability to interact with C-level or senior business leaders and influence decisions
Skills and Competencies
To be successful in this role, you will need to possess a combination of technical, business, and interpersonal skills. These include:
Strong technical expertise in cloud infrastructure, machine learning, and AI
Excellent communication and presentation skills
Ability to work closely with customers and internal teams to understand their needs and develop solutions
Strong problem-solving and analytical skills
Ability to influence and advocate for corporate customer requirements
Career Growth and Learning Benefits
At arenaflex, we are committed to helping our employees grow and develop their careers. As an Enterprise Customer Engineer, you will have access to a range of training and development opportunities, including:
Technical training and certification programs
Leadership development programs
Mentorship and coaching from experienced professionals
Opportunities to work on complex and challenging projects
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values collaboration, creativity, and diversity. Our work environment is fast-paced and challenging, but also supportive and rewarding. We offer a range of benefits and perks, including:
Competitive salary and bonus structure
Equity and stock options
Comprehensive health and wellness programs
Flexible work arrangements and remote work options
Opportunities to participate in company-sponsored events and activities
Compensation and Benefits
The USA-based salary range for this full-time role is $125,000 - $250,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. In the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your chosen location during the hiring process.
Conclusion
If you are a motivated and experienced technical professional looking for a challenging and rewarding role, we encourage you to apply for the Enterprise Customer Engineer position at arenaflex. With our commitment to innovation, customer satisfaction, and employee growth and development, we offer a unique and exciting opportunity to make a real impact in the industry. Apply now to join our team and help shape the future of cloud infrastructure and AI solutions!
Apply Now
arenaflex is at the forefront of the technological revolution, empowering businesses to transform and build what's next for their operations. Our products and services are engineered for security, reliability, and scalability, running the entire stack from infrastructure to applications to devices and hardware. As a leader in the industry, we are dedicated to helping our customers – developers, small and large businesses, academic institutions, and government agencies – see the benefits of our technology come to life.
About the Role
As an Enterprise Customer Engineer at arenaflex, you will play a key role in understanding the needs of our clients and helping shape the future of companies of all sizes. You will be responsible for identifying and assessing large-scale AI opportunities that could benefit from AI-optimized infrastructure. Your expertise will help clients leverage accelerators within their overall cloud approach, enabling them to run benchmarks for current models, find opportunities to apply accelerators for new models, develop migration paths, and optimize performance.
Key Responsibilities
Be a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy through recommending migration paths, integration techniques, and application architectures that incorporate arenaflex Cloud AI optimized infrastructure
Demonstrate how arenaflex Cloud is differentiated, highlighting the power of accelerators by working with clients on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking
Build repeatable assets to enable other clients and internal teams
Influence arenaflex Cloud strategy at the intersection of infrastructure and AI/ML by advocating for corporate customer requirements
Travel to customer sites and events as needed
Qualifications
Essential Qualifications
Bachelor's degree in computer technology, mathematics, or a related technical field, or equivalent practical experience
5 years of experience in cloud infrastructure
Experience building and operationalizing machine learning models
Experience delivering technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria
Desired Qualifications
Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators
Experience running MLPerf benchmarks
Experience with performance profiling tools (e.g., Tensorflow profiler, PyTorch profiler, Tensorboard)
Experience with distributed training and optimizing performance versus costs
Designing/architecting large-scale infrastructure farms for professional AI use cases
Ability to interact with C-level or senior business leaders and influence decisions
Skills and Competencies
To be successful in this role, you will need to possess a combination of technical, business, and interpersonal skills. These include:
Strong technical expertise in cloud infrastructure, machine learning, and AI
Excellent communication and presentation skills
Ability to work closely with customers and internal teams to understand their needs and develop solutions
Strong problem-solving and analytical skills
Ability to influence and advocate for corporate customer requirements
Career Growth and Learning Benefits
At arenaflex, we are committed to helping our employees grow and develop their careers. As an Enterprise Customer Engineer, you will have access to a range of training and development opportunities, including:
Technical training and certification programs
Leadership development programs
Mentorship and coaching from experienced professionals
Opportunities to work on complex and challenging projects
Work Environment and Company Culture
arenaflex is a dynamic and innovative company that values collaboration, creativity, and diversity. Our work environment is fast-paced and challenging, but also supportive and rewarding. We offer a range of benefits and perks, including:
Competitive salary and bonus structure
Equity and stock options
Comprehensive health and wellness programs
Flexible work arrangements and remote work options
Opportunities to participate in company-sponsored events and activities
Compensation and Benefits
The USA-based salary range for this full-time role is $125,000 - $250,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. In the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your chosen location during the hiring process.
Conclusion
If you are a motivated and experienced technical professional looking for a challenging and rewarding role, we encourage you to apply for the Enterprise Customer Engineer position at arenaflex. With our commitment to innovation, customer satisfaction, and employee growth and development, we offer a unique and exciting opportunity to make a real impact in the industry. Apply now to join our team and help shape the future of cloud infrastructure and AI solutions!
Apply Now