Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.
About the Role
Our team is currently seeking AI/ML 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.
As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Top Skills
What We Do
We’re on a mission to reinvent IT Service Management from the ground up. In an industry dominated by outdated, bloated tools, we believe it’s time for a clean slate — modern, efficient, and built with the end-user in mind. Our goal is to create software that teams actually want to use — tools that accelerate productivity instead of slowing it down.
With deep product expertise, strong backing, and a bold vision, we’re building a next-generation ITSM platform designed for the way companies work today and tomorrow. No legacy baggage. No compromises. Just smart, scalable, high-performance software that redefines what IT service can be.
Why Work With Us
Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.
Gallery
Standard Template Labs Offices
OnSite Workspace
Work from our Midtown Manhattan office alongside the founding team in a focused, collaborative environment. We're in-office five days a week, moving quickly and building together—with easy access to public transportation.
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