Senior Software Engineer

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

We’re looking for a Senior Software Engineer who thrives in an AI-native environment—someone who’s excited to build scalable intelligent systems that blend automation reasoning and modern infrastructure.

You’ll play a key role in architecting and implementing the systems that power our AI-driven platform helping define how we integrate large language models (LLMs) knowledge graphs and intelligent workflows into enterprise-scale software.

This is a hands-on role for someone who codes deeply thinks systemically and wants to shape the future of AI-augmented engineering.

Responsibilities

AI-Driven Technical Ownership

• Take end-to-end ownership of complex features and systems—from architecture and implementation to deployment and observability.

• Design and evolve AI-native services that embed LLMs and reasoning capabilities directly into product workflows.

• Work cross-functionally with product design and data teams to infuse AI-powered intelligence into the user and developer experience.

• Drive architectural decisions that balance rapid experimentation with long-term scalability and reliability.

Hands-On Engineering

• Backend First: Lead design implementation testing and deployment of backend services APIs (REST/GraphQL) and core data infrastructure that power scalable enterprise workflows.

• Full Stack Delivery: Build user-facing features where needed connecting frontend UI with backend systems — you’ll own the full path from browser to database.

• Shape the Stack: Help define and evolve our architecture — from backend systems and databases to the UI frameworks and client integrations that consume them.

• AI and Workflow Innovation: Integrate AI/LLM capabilities into backend pipelines and product logic that make ITSM smarter and easier to use.

• Performance & Scale: Architect highly performant secure and scalable services for enterprise environments with monitoring and observability in place.

• Collaboration: Partner with designers frontend engineers and infrastructure teams to translate product thinking into real high-impact solutions.

• Developer Experience: Improve internal tooling deployment pipelines and best practices around CI/CD and automated testing.

• Security & Compliance: Build with enterprise-grade security and compliance in mind from the start (SOC 2 ISO 27001).

Qualifications

• Experience: Strong background in backend systems and API design with real SaaS production experience; comfortable contributing across the stack.

• Backend Languages: Proficiency in one or more modern backend languages (Python Go Rust C++ etc.) and designing distributed systems.

• Frontend Fluency: Familiar with modern frontend frameworks (React Vue Angular) and comfortable building or iterating on UI components that interface with your backend.

• Databases & Storage: Strong hands-on experience with NoSQL and (ideally) graph or databases.

• Cloud & DevOps: Experience with cloud platforms (AWS/GCP/Azure) containerization (Docker/Kubernetes) and infrastructure as code (Terraform).

• Problem Solving Mindset: Pragmatic product-driven engineer who thrives in high-velocity startup environments and can balance backend complexity with UI quality.

• Bonus: Experience integrating AI/LLM features or working with enterprise workflow systems.

Nice to Have

• Experience building microservices or event-driven architectures.

• Prior experience with high-throughput or low-latency systems.

• Contributions to open-source projects or a strong portfolio of technical work.

Why You’ll Love This Role

• Build core systems for an AI-native enterprise platform—where AI isn’t an add-on it’s the foundation.

• Work in a team that uses AI as a development accelerator—pairing human expertise with machine intelligence to move fast and build better.

• Help define modern best practices for AI-augmented software engineering.

• Join a focused collaborative team in Midtown Manhattan—moving quickly experimenting boldly and building together.

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. The reasonably estimated yearly salary for this role at is: $160000—$230000 USD.

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.

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