Engineering Manager, Runway
ML Platform
$280-340k
AI-powered creativity tools
Open for applications
AI-powered creativity tools
101-200 employees
Open for applications
$280-340k
101-200 employees
Company mission
To ensure that anyone anywhere can tell their stories.
Role
Who you are
- You should have experience leading high-performing engineering teams and be deeply interested in the intersection of machine learning and distributed systems
- Platform engineering foundation. 5+ years building distributed systems, data pipelines, and infrastructure at scale. Experience managing engineering teams of 3-8 people
- Production infrastructure expertise. Experience with cloud platforms (AWS/GCP), container orchestration (Kubernetes/ECS) and operating services at scale. You've built reliable systems that handle large data volumes and complex workloads
- Proven experience with monitoring and reliability. Experience building comprehensive monitoring and alerting. You know what metrics matter and how to surface the right information to different teams
- Collaborative mindset. Comfortable working directly with researchers and data scientists. You can translate their needs into engineering solutions and build tools people actually want to use
- Humility and open mindedness. At Runway we love to learn from one another
What the job involves
- We're looking for an Engineering Manager (Backend) to lead the team responsible for Runway's machine learning platform
- You will will manage our current and growing team of 5
- You’ll have a chance to work closely with our Research and Machine Learning teams to build out our data processing, training, and eval systems
- This role is on a small team with a big impact
- Build the platform infrastructure for ML at scale. Lead the platform engineering team that powers Runway's machine learning pipeline—from data processing through model training to production inference. Work closely with research teams to build robust, scalable systems that let them move fast
- Keep training jobs running smoothly. Build monitoring, alerting, and automation around critical multi-day training runs on hundreds of GPUs. Your systems catch problems before they derail expensive compute jobs
- Enable model evaluation and exploration. Maintain the platform that lets researchers inspect training data, visualize outputs, and evaluate model checkpoints. Build tools that bridge raw infrastructure and research workflows
- Scale production inference. Own the inference pipeline serving Runway's products. Implement monitoring and alerting for performance and reliability. Lead GPU capacity planning to balance cost and user experience as demand grows
Our take
Runway is revolutionizing content creation and video editing with machine learning, harnessing the expansive capabilities of web-based tools. At the forefront of this transformation, the startup offers a suite of AI-powered editing tools tailored for designers, artists, and creators, setting itself apart in an industry dominated by enterprise-focused software solutions.
The company has rapidly gained recognition among some of the world's largest brands, including R/GA, New Balance, Google, and IBM, by appealing directly to creative professionals. This approach has not only solidified Runway's position in the market but also facilitated its integration into the design curricula of esteemed institutions such as NYU, RISD< and MIT.
In a testament to its growing influence and success, Runway achieved unicorn status in 2023 following a landmark $100M funding round, which valued the company at $1.5BThis milestone not only reflects investor confidence but also positions Runway to expand its innovative tools and further democratize access to advanced video editing capabilities globally.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Apr 2025
$308m
SERIES D
Jun 2023
$141m
SERIES C
Total funding: $546.5m
Company benefits
- 100% medical, dental, and vision coverage: We cover 100% of medical, dental and vision for our US employees AND their dependents. Based on the plans selected, we have complimentary mental health benefits and a free One Medical membership
- Unlimited days of PTO: We have unlimited PTO with a minimum of 15 days a year. We also have a paid sabbatical program after employees have been with Runway for 3 years and again after 5 years. And of course, we can't forget about Summer Fridays
- 401k Matching, 3% matching: Plan for the future! We provide a 3% 401K match for our US based employees
- Remote $250 stipend: All of our employees outside of commuting distance to the office, can expense up to $250 per month on co-working spaces, lunch or groceries, and internet connection
- Donations supporting our community: Beyond our employees, we have a commitment to our communities. Every quarter, Runway employees choose an organization for the company to support through a donation
- Custom setup, tech setup stipend: In addition to the choice of laptop, all employees get a stipend to customize their tech set up as they want
- Parental leave for all parents: We offer 16 weeks of fully paid parental leave plus a gradual return to work plan. This coverage is for all parents, regardless of how a child is brought into the family
- L&D $600 stipend: We’re investing in our employees’ long term growth by giving every employee $600 per year to spend on their personal or professional development. That means conferences, courses, and books, oh my!
- Wellness $600 stipend: We set ambitious goals and work hard to achieve them, so we believe it’s important to invest in employees’ mental and physical health. The $600 annual wellness stipend can be used for anything from therapy sessions to gym memberships
Company HQ
Civic Center, New York, NY
Leadership
Anastasis Germanidis
(CTO)Trained as a Backend Engineer, they have held roles at Zocdoc, Chartbeat, and Quantcast as well as working as a Machine Learning Researcher in Computer Vision for IBM.
Previously co-founded Deenty, an online booking platform for dentist appointments.
Cristóbal Valenzuela
(CEO)Worked as a Researcher at New York University from 2018 to 2019. Also spent time as a Professor at the UAI School of Design.
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