Standard Template Labs
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
Staff Software Engineer
who thrives at the intersection of
AI systems design, large-scale distributed infrastructure, and product innovation . You’ll lead technical initiatives that bring AI-native capabilities to life—building resilient, scalable systems that integrate LLMs, data-driven automation, and graph intelligence into enterprise workflows.
This is a hands-on leadership role for someone who codes deeply, mentors effectively, and loves shaping technical strategy in an AI-first environment.
Responsibilities
AI-Driven Systems Engineering
Design and develop
AI-native architectures
that embed LLMs and intelligent automation into ITSM and CMDB workflows.
Leverage
LLMs, embeddings, and retrieval pipelines
to power natural language interfaces, knowledge synthesis, and reasoning within our platform.
Collaborate with product, design, and data teams to
infuse AI into every layer
of the product experience—from backend systems to user-facing features.
Technical Ownership
Own complex systems end-to-end: design, architecture, deployment, and production reliability.
Drive architectural decisions balancing near-term speed with long-term scalability and maintainability.
Help define our
AI-first engineering stack
and patterns for prompt orchestration, model integration, and continuous learning.
Hands-On Engineering
Write clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.
Design and optimize
distributed, event-driven systems and APIs
that handle data and inference at scale.
Conduct deep-dive code reviews and performance tuning across high-traffic, production environments.
Leadership and Mentorship
Lead by example—uplifting code quality, fostering a culture of experimentation, and mentoring engineers in AI-augmented workflows.
Champion best practices in
AI tooling adoption
(e.g., Cursor, Windsurf, Claude) to enhance team productivity and creativity.
Qualifications
7+ years of professional software engineering experience, with a record of delivering large-scale, high-impact systems.
Deep expertise in
distributed systems, cloud-native architecture, and API design .
Hands-on experience with or strong interest in
LLMs, vector databases, embeddings, or AI agent frameworks .
Familiarity with
prompt engineering, fine-tuning, and AI-powered developer tools .
Experience mentoring engineers and guiding cross-functional teams toward technical excellence.
Strong proficiency in one or more modern programming languages (e.g., Go, Python, Rust, or Java).
Knowledge of
Kubernetes, event-driven systems, and CI/CD
best practices.
A builder’s mindset: eager to explore, prototype, and ship fast.
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.
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About the Role We’re looking for a
Staff Software Engineer
who thrives at the intersection of
AI systems design, large-scale distributed infrastructure, and product innovation . You’ll lead technical initiatives that bring AI-native capabilities to life—building resilient, scalable systems that integrate LLMs, data-driven automation, and graph intelligence into enterprise workflows.
This is a hands-on leadership role for someone who codes deeply, mentors effectively, and loves shaping technical strategy in an AI-first environment.
Responsibilities
AI-Driven Systems Engineering
Design and develop
AI-native architectures
that embed LLMs and intelligent automation into ITSM and CMDB workflows.
Leverage
LLMs, embeddings, and retrieval pipelines
to power natural language interfaces, knowledge synthesis, and reasoning within our platform.
Collaborate with product, design, and data teams to
infuse AI into every layer
of the product experience—from backend systems to user-facing features.
Technical Ownership
Own complex systems end-to-end: design, architecture, deployment, and production reliability.
Drive architectural decisions balancing near-term speed with long-term scalability and maintainability.
Help define our
AI-first engineering stack
and patterns for prompt orchestration, model integration, and continuous learning.
Hands-On Engineering
Write clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.
Design and optimize
distributed, event-driven systems and APIs
that handle data and inference at scale.
Conduct deep-dive code reviews and performance tuning across high-traffic, production environments.
Leadership and Mentorship
Lead by example—uplifting code quality, fostering a culture of experimentation, and mentoring engineers in AI-augmented workflows.
Champion best practices in
AI tooling adoption
(e.g., Cursor, Windsurf, Claude) to enhance team productivity and creativity.
Qualifications
7+ years of professional software engineering experience, with a record of delivering large-scale, high-impact systems.
Deep expertise in
distributed systems, cloud-native architecture, and API design .
Hands-on experience with or strong interest in
LLMs, vector databases, embeddings, or AI agent frameworks .
Familiarity with
prompt engineering, fine-tuning, and AI-powered developer tools .
Experience mentoring engineers and guiding cross-functional teams toward technical excellence.
Strong proficiency in one or more modern programming languages (e.g., Go, Python, Rust, or Java).
Knowledge of
Kubernetes, event-driven systems, and CI/CD
best practices.
A builder’s mindset: eager to explore, prototype, and ship fast.
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.
#J-18808-Ljbffr