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About the Role

We’re hiring an Engineering Manager to lead our Applied AI team. This team’s mandate is to bring cutting-edge AI into the hands of industrial automation engineers — designing, building, and owning the GenAI-powered capabilities that make Copia’s products dramatically more useful, from the Copia Copilot to AI features woven throughout our Source Control and DeviceLink products. Reporting into the VP of Engineering, you will lead a group of full-stack software engineers who build AI-enabled tooling end to end, and partner closely with the Product, Design, and other Engineering leaders. You’ll support, mentor, and grow your team while staying close enough to the technology to provide meaningful architectural input, code review, and the occasional pull request. You’ll also help set the bar for how the broader engineering organization adopts AI coding tools and integrates GenAI responsibly into a safety-critical domain. This role is a great fit for a hands-on line manager who is energized by a fast-moving field, comfortable making product-shaping decisions about where AI adds real leverage versus hype, and excited to set direction in an area that is still being defined. You must be comfortable collaborating through ambiguity, while supporting your team to drive predictable velocity as we continue to scale the organization.

Responsibilities

Lead and grow a squad of senior full-stack engineers building AI-enabled tooling, managing the full lifecycle of hiring, onboarding, and continuous growth through weekly 1:1s and performance feedback.
Align individual aspirations with business needs while fostering a culture of high standards and psychological safety.
Define the team’s ownership boundaries and shape Copia’s applied-AI strategy in partnership with Engineering leadership, Product, and Design.
Translate high-level goals into a clear roadmap and well-scoped delivery milestones.
Use product taste to decide where GenAI genuinely improves the user experience.
Guide the team to integrate GenAI into Copia’s existing Source Control and DeviceLink products and to improve the Copia Copilot experience.
Ship high-quality, scalable, well-documented capabilities and measure their adoption and impact.
Oversee the architecture of AI-powered, full-stack systems, including frontend experiences, backend services, APIs, and AI plumbing (LLM integration, RAG pipelines, evaluation, model selection, prompt and context strategies).
Ensure AI-powered systems are reliable and scalable.
Provide architectural input, code reviews, and hands-on contributions where they add the most leverage.
Help the team make AI coding agents a central part of their workflow to increase velocity while maintaining high standards.
Share best practices to raise how the entire engineering organization leverages AI tools.
Be responsible for on-call practices, incident response runbooks, and engineering standards (CI/CD, ADRs, testing, evaluation of AI behavior) that empower the team to move faster with higher confidence in a safety-critical domain.

Requirements

5+ years of professional full-stack software engineering experience.
1–2 years of formal or informal people-leadership experience (tech lead, team lead, or direct management).
Hands-on experience building AI-enabled products, shipping applications backed by LLM APIs, RAG, and related GenAI techniques.
Judgment to discern where AI adds durable value versus where it doesn’t.
Strong technical foundation across the stack — frontend, backend, APIs, and data.
Ability to design AI-powered capabilities that are reliable, scalable, and maintainable.
Daily fluency with AI coding tools (e.g., Cursor, Claude Code, or Copilot) and a clear sense of their strengths and weaknesses.
Track record of helping others get more out of AI coding tools.
Demonstrated ability to coach engineers — helping them grow technically, take on bigger scope, and develop in their careers.
Strong written and verbal communication skills, with the ability to adjust messages for different audiences.
Ability to explain complex AI work to non-technical stakeholders.
Sound judgment around prioritization, scope, and trade-offs.
Eagerness to learn about complex domains like industrial automation.
Empathy, humility, and high standards.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Skills

AI-enabled tooling
GenAI
Full-stack development
AI strategy
Roadmap definition
Product development
LLM integration
RAG pipelines
Model selection
Prompt engineering
Context strategies
AI coding tools
Operational quality
On-call practices
Incident response
CI/CD
ADRs
Testing
Evaluation of AI behavior
TypeScript
Node.js
React
Go
C#
Python
PostgreSQL
AWS
Datadog
Developer tools
Git internals
DevOps platforms
B2B SaaS
Industrial automation
OT/IT
Manufacturing software
IoT

Location

New York City

Work Type

Hybrid

Experience Level

5+ years of professional full-stack software engineering experience
1–2 years of formal or informal people-leadership experience

Education Level

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Salary/Compensations

$172,000 - $226,000 a year
Competitive base salary commensurate with experience and location

Benefits

Meaningful equity in an early-stage, venture-backed company
Comprehensive medical, dental, and vision coverage
Unlimited PTO and company holidays
401(k) plan
Commuter benefits and in-office lunches
Relocation assistance available for qualifying candidates
A high-trust, high-ownership culture

About the Company

Copia Automation builds the version control and change management platform for industrial automation.
Our customers are in oil & gas, manufacturing, and critical infrastructure: environments where the code running on PLCs, SCADA systems, and HMIs have direct safety implications.
We bring modern software engineering practices to operational technology teams that have been underserved by tooling for decades.
We’re a well-funded startup growing fast, with enterprise customers deploying Copia across hundreds of facilities.
Copia Automation is the first and only Git-powered platform built for industrial automation.
We help engineering teams collaborate, scale, and maintain complete control over every version of their PLC and HMI code — tracking every change, preventing costly downtime, and keeping a full audit trail for compliance.
We integrate with the industrial control systems and applications engineers actually use, including Rockwell Automation, Siemens, Beckhoff, Wago, Codesys, Lenze, Schneider Electric, and ABB.
Our customers are some of the largest and most innovative manufacturers in the world.

Equal Opportunity

Copia is an equal opportunity employer.
We are committed to building a diverse team and an inclusive culture, and we welcome applicants from all backgrounds.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.