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
Design, build, and operate core infrastructure (Kubernetes, containers, CI/CD, networking, service mesh)
Own deployment pipelines and automation to accelerate developer productivity
Implement monitoring, alerting, and SRE practices using Datadog to achieve high availability and reliability
Partner with product engineers to optimize workloads across APIs, data pipelines, and AI inference services
Ensure scalability, security and resilience for a SaaS platform used by large enterprise customers
Build with security and compliance (SOC 2, ISO 27001) in mind from the start
Continuously improve performance, scalability, and cost efficiency of cloud infrastructure
Contribute to internal tooling, documentation, and best practices for infrastructure
Qualifications
Education: Degree in Computer Science, Engineering, or related field from a top-tier engineering school
Experience: 5+ years as a Platform, Infrastructure, or DevOps Engineer in SaaS environments serving large enterprise customers.
Languages/Tools: Strong in Python, Go, or similar; proficient with Terraform, Kubernetes, and Docker.
Cloud: Deep experience with AWS, GCP, or Azure.
DevOps: Hands-on with CI/CD (GitHub Actions, Argo, or equivalent).
Observability: Expert in Datadog (dashboards, APM, logging, alerts, SLOs).
Mindset: Systems thinker, automation-first, thrives in high-velocity startup environments.
Bonus: Background with graph databases, AI/ML infrastructure, or security engineering
Education: Degree in Computer Science, Engineering, or related field from a top-tier engineering school
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 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.
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.
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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