Support Engineer, Automation
GC AI
Job Overview
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Job Description
About GC AI
GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment—when decisions matter, impact is immediate, and the runway to shape your career is wide open. We’re a high-performing team where you'll have real ownership and influence from day one.
More than 1,300 companies use GC AI to drive their business forward, including 150+ public companies, 25+ unicorns, and brands such as News Corp, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME.
We've 10x'd revenue in 12 months, raised a $60 million Series B ($555 million valuation), and are growing faster than ever. We are backed by incredible investors, including Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel.
If you thrive when the stakes are high and the path isn't paved, you'll love it here. Our six guiding principles are: 1% better every day, customer obsession, ship today, find a way, care deeply, and own it completely. Come shape the future of legal work with us.
About The Role
We're looking for a hybrid engineer-architect obsessed with scaling. This Support Engineer, Automation role is about building the systems behind world-class support, shifting our small team to proactive, automated resolution. You will design the infrastructure, validated workflows, and internal content architecture that empower our agents and users. Critically, you will design and build AI agents and high-impact content to automate resolutions and ensure our team has the tools to solve any high-stakes legal AI technical hurdle accurately and instantly.
Why This Role Matters
Our platform handles sophisticated legal work for over 1,300 companies. To keep pace with our 10x growth, every answer must be precise and instantly available. You will be crafting the scalable systems—from automated workflows to AI agents and expert content—that make "complex" feel "simple" for both our customers and our internal team. This role ensures that every interaction is backed by technical excellence, automation, and reliable content.
What You'll Do
- Infrastructure Design: Build and maintain the technical infrastructure used by the support organization to diagnose and resolve platform issues.
- Workflow Automation & Content Strategy: Design and validate automated workflows and internal/external content paths to ensure support responses are fast, technically accurate, and highly scalable.
- Internal Tooling: Develop internal dashboards, diagnostic tools, and integrations (using React, Node.js, and GCP) to give agents deeper visibility into system performance.
- Technical Enablement: Act as the technical "Force Multiplier" for the support team, mentoring agents on the inner workings of the GCAI platform.
- Feedback Loop: Partner with Product and Engineering to turn common support friction points into permanent product fixes.
Impact You'll Have
- Scale the Support Org: Be the key driver in creating the "Golden Path" for support, utilizing content and automation to help our small team handle 10x the volume without sacrificing quality.
- Raise the Reliability Bar: Implement observability and testing within support workflows so that AI-related troubleshooting behaves predictably.
- Drive Customer Obsession: Shrink the lead time for technical resolutions, directly impacting customer retention and trust.
Required Experience
- 3+ years of experience in a Support Engineering, DevOps, or Full-stack role.
- Technical Proficiency: Strong expertise in JavaScript/TypeScript and Node.js.
- Infrastructure Mindset: Experience working with cloud platforms (GCP preferred) and understanding how to build scalable internal systems.
- Workflow Architect: A track record of designing and documenting validated technical processes or automation.
Nice to Have
- Experience with AI/LLM integrations and troubleshooting prompt-related issues.
- Background in building secure, compliant systems (SOC2, GDPR).
- Experience with modern ORMs and API design.
- Familiarity with legal tech or high-growth B2B SaaS.
The Mindset
- The Enabler: You find joy in making other people more efficient through your code.
- Ownership-Driven: You see a manual process and feel a burning need to automate it.
- Continuous Learner: You want to stay deep in the code while understanding the human element of customer support.
What We Offer
- Growth & Impact: Real influence on the strategy of a Series B startup growing at breakneck speed.
- Competitive Package: Salary, equity, and excellent benefits.
- Flexible Environment: Remote-friendly (USA/Canada) with hybrid options in San Mateo, CA or Provo, UT.
Compensation
GC AI's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles. We also offer exceptional benefits, as well as commission plans for applicable roles. Our US-based compensation range for this role is $145,000 – $200,000. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors.
These compensation bands are just the starting point. After someone joins and proves they’re an exceptional performer, we adjust quickly to ensure their compensation aligns with their impact.
GC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Key skills/competency
- Support Engineering
- Automation Design
- JavaScript/TypeScript
- Node.js Development
- Cloud Platforms (GCP)
- Workflow Validation
- AI/LLM Integrations
- Internal Tooling (React)
- Technical Mentoring
- System Observability
How to Get Hired at GC AI
- Research GC AI's culture: Study their mission, values like "customer obsession" and "own it completely," recent news, and employee testimonials on LinkedIn and Glassdoor to align with GC AI's high-growth environment.
- Tailor your resume for automation expertise: Highlight Support Engineering, DevOps, full-stack, and significant automation project experience. Emphasize proficiency in JavaScript, Node.js, and GCP within your technical skills section.
- Showcase scaling and AI experience: Prepare concrete examples of designing scalable systems, validating automated workflows, and any experience with AI/LLM integrations or prompt engineering.
- Demonstrate customer obsession: Articulate how you've used technical solutions to improve customer experience, support efficiency, and reduce resolution times in previous roles.
- Prepare for technical deep-dives: Expect in-depth questions on infrastructure design, workflow automation best practices, internal diagnostic tool development, and your ability to act as a technical "Force Multiplier" for a support team.
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