Engineering Manager, API Platform
To see similar active jobs please follow this link: Remote Development jobs
About the role
We're looking for an Engineering Manager to lead and manage the team responsible for Runway's platform and API. You should have experience leading high-performing engineering teams and be deeply interested in the intersection of machine learning and distributed systems.
You’ll have a chance to work closely with our research, machine learning engineering and product engineering teams to build low-latency, high-reliability APIs powering our machine learning based creation tools as well as the infrastructure to support them.
What you’ll do
Lead a talented engineering team and keep pushing the boundaries of content creation in the browser
Collaborate closely with leadership and the engineering team to define, prioritize, and execute on ambitious goals that will shape the future of Runway
Build a team of skilled fullstack engineers from diverse backgrounds
Build server components for upcoming product features for Runway’s AI-based content creation and collaboration tools
Design and deploy high-performance, secure, and reliable services that leverage state-of-the-art machine learning and graphics technologies to process and deliver multimedia content in real-time
Continuously optimize and evolve our backend architecture to achieve new levels of performance, security, reliability, and code excellence as we scale to meet the growing demands of our platform
What you’ll need
1+ year of experience in a team lead or engineering manager role, with a proven track record of leading and growing high-performing teams
4+ years of industry experience in a backend, full stack, or machine learning engineering role
Expert-level understanding and experience in designing and implementing distributed systems, databases, security measures, and APIs
Empathetic and inclusive leadership style
Strategic mindset and business acumen, with the ability to align technical initiatives with company objectives and drive growth
Experience with Kubernetes and cloud providers such as AWS, GCP, and Azure
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
Excellent communication, collaboration, and documentation skills
Proficiency in NodeJS or Python
Full stack development experience is a nice to have but not a requirement
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Salary range: $220,000-$270,000
About the job
Engineering Manager, API Platform
To see similar active jobs please follow this link: Remote Development jobs
About the role
We're looking for an Engineering Manager to lead and manage the team responsible for Runway's platform and API. You should have experience leading high-performing engineering teams and be deeply interested in the intersection of machine learning and distributed systems.
You’ll have a chance to work closely with our research, machine learning engineering and product engineering teams to build low-latency, high-reliability APIs powering our machine learning based creation tools as well as the infrastructure to support them.
What you’ll do
Lead a talented engineering team and keep pushing the boundaries of content creation in the browser
Collaborate closely with leadership and the engineering team to define, prioritize, and execute on ambitious goals that will shape the future of Runway
Build a team of skilled fullstack engineers from diverse backgrounds
Build server components for upcoming product features for Runway’s AI-based content creation and collaboration tools
Design and deploy high-performance, secure, and reliable services that leverage state-of-the-art machine learning and graphics technologies to process and deliver multimedia content in real-time
Continuously optimize and evolve our backend architecture to achieve new levels of performance, security, reliability, and code excellence as we scale to meet the growing demands of our platform
What you’ll need
1+ year of experience in a team lead or engineering manager role, with a proven track record of leading and growing high-performing teams
4+ years of industry experience in a backend, full stack, or machine learning engineering role
Expert-level understanding and experience in designing and implementing distributed systems, databases, security measures, and APIs
Empathetic and inclusive leadership style
Strategic mindset and business acumen, with the ability to align technical initiatives with company objectives and drive growth
Experience with Kubernetes and cloud providers such as AWS, GCP, and Azure
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
Excellent communication, collaboration, and documentation skills
Proficiency in NodeJS or Python
Full stack development experience is a nice to have but not a requirement
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Salary range: $220,000-$270,000