Degree in Computer Science, Engineering, or related field from a top-tier engineering school.
5+ years as a Platform, Infrastructure, or DevOps Engineer in SaaS environments serving large enterprise customers.
Strong programming skills in Python or Go; proficiency with Terraform, Kubernetes, and Docker.
Deep experience with major cloud providers (AWS, GCP, Azure).
Hands-on experience with CI/CD tools like GitHub Actions or Argo.
Expert in Datadog for observability and monitoring.
Systems thinker, automation-first with experience in fast-paced startups.
Responsibilities
Design, build, and operate core infrastructure using Kubernetes and containers.
Own deployment pipelines to enhance developer productivity.
Implement monitoring and SRE practices with Datadog to ensure system reliability.
Collaborate with product engineers on workload optimization.
Guarantee scalability and security for the SaaS platform used by enterprises.
Integrate security and compliance measures from the development phase.
Continuously improve cloud infrastructure performance and cost efficiency.
Contribute to internal tooling and documentation for infrastructure best practices.
Benefits
Opportunity to develop key features for an AI-driven enterprise platform.
Ownership of crucial systems serving millions of users.
Culture emphasizing craftsmanship, autonomy, and technical excellence.
Competitive compensation and equity package.
In-office work environment in Midtown Manhattan, facilitating collaboration.
Full Job Description
About the Role
Our team is currently seeking AI Engineers that will design, build, and deploy machine learning systems that form the intelligence layer of our ITSM platform. You will work on problems such as natural language understanding of IT tickets, dynamic knowledge extraction, intelligent workflow automation, and predictive insights from complex IT infrastructure data. This is a hands-on engineering role with the opportunity to define the AI foundation of a company from day one.
Responsibilities
Research, prototype, and productionize machine learning models for ITSM use cases (ticket triage, incident prediction, workflow recommendations, CMDB inference).
Build scalable training and inference pipelines that integrate seamlessly into the core platform.
Experiment with LLMs, embeddings, and retrieval-augmented generation (RAG) for IT knowledge and workflow automation.
Partner with engineers and product managers to define AI-first features that differentiate our platform.
Evaluate performance, optimize models, and ensure reliability, scalability, and cost-efficiency of AI systems.
Stay current with advances in machine learning, LLMs, and AI infrastructure, and apply them pragmatically.
Qualifications
Bachelor's or Master's in Computer Science, AI/ML, or related field; PhD is a plus.
Strong software engineering fundamentals (Python preferred) and experience with ML frameworks such as PyTorch or TensorFlow.
Experience with one or more of: natural language processing (NLP), large language models (LLMs), information retrieval, graph ML, or time-series forecasting.
Understanding of modern MLOps practices: model versioning, deployment, monitoring, and lifecycle management.
Comfort working in a fast-paced startup environment with end-to-end ownership.
Bonus: experience applying AI in enterprise software or ITSM contexts.
What We Offer
Build foundational product features for an AI-first enterprise platform
The opportunity to take ownership of critical systems that scale to millions of users
A culture that values craftsmanship, autonomy, and technical excellence
Competitive compensation, equity, and benefits package
Work from our Flatiron District, Manhattan office, where you'll be side-by-side with the founding team in a supportive, collaborative setting. Our team works on-site five days a week, growing and building together, and the location is easy to reach with plenty of public transportation options.
The reasonably estimated yearly salary for this role at is: $160,000-$230,000 USD.
About Runway
Runway is a fashion brand that specializes in women's clothing and accessories. The company offers a range of products, including dresses, tops, skirts, and handbags, that are designed to be both stylish and affordable. Runway's products are sold online and in select retail stores across the United States. The company was founded in 2015 and is based in New York, New York.
