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 1,700 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 RoleWe're looking for a Senior Platform Engineer to help harden, simplify, and operationalize our production platform to meet the demands of enterprise customers. This is not a feature-churn role. The core need centers on infrastructure correctness, system reliability, developer experience, and operational excellence. You’ll own the foundational systems that let our product team move fast with confidence.
A major component of this role is collaborating to define and evangelize engineering direction and culture around platform and infrastructure. You’ll work closely with all of engineering to raise the bar across the board.
Why This Role MattersGC AI is at an inflection point. The platform that got us here was built for speed — now it needs to be built for scale. As we grow into larger, more demanding enterprise customers, infrastructure correctness and reliability aren't just engineering concerns; they're the foundation of customer trust. This role exists to close the gap between where the platform is and where it needs to be.
What You'll DoOwn and evolve our core platform infrastructure—networking, compute, storage, and deployment pipelines—on Google Cloud Platform.
Build and maintain CI/CD pipelines that enable fast, safe, and reliable deployments.
Define and enforce infrastructure as code (IaC) practices using Terraform, Pulumi, or similar.
Unify logging and observability across services—making the platform easier to understand, debug, and operate.
Collaborate with fellow Engineers to maintain clean network boundaries, environment isolation, and operational hygiene.
Drive developer productivity by improving tooling, reducing toil, and building internal platform capabilities.
Contribute to engineering culture and technical direction—helping the team operate at a higher level.
Deep in GCP. You have production experience with IAM, service accounts, project isolation, and networking on Google Cloud Platform. You've operated infrastructure that real customers depend on.
Infrastructure as code is your default. You've built and maintained IaC with Terraform, Pulumi, or similar. You treat infrastructure drift like a bug.
A strong backend engineer. You write production-quality code, TypeScript preferred, and you're comfortable reasoning across the stack when platform decisions touch application behavior.
Observability-minded. You've built or maintained logging and observability pipelines at scale. You know what it takes to make a system legible to the people who run it.
Pragmatic about risk. You reason about operational risk clearly, make tradeoffs deliberately, and ship infrastructure improvements without waiting for perfect conditions.
An owner, not a renter. You fix problems without being asked, follow through on every detail, and communicate proactively when circumstances change.
Experience acting as a technical lead on a team or vertical; strong communication skills.
Experience with platform engineering, internal developer platforms (IDPs), or developer tooling.
Prior work in regulated or enterprise-focused environments.
Familiarity with SRE practices, incident response, or on-call workflows.
This is a remote role unless you fall within the following parameters. If you live within approximately 50 miles of our San Mateo, CA or Provo, UT office, the position follows a hybrid schedule with in-office days on Tuesdays, Wednesdays, and Thursdays.
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. #LI-GCAI
To protect yourself against phishing and recruitment fraud, please note that GC AI only accepts job applications through our official careers page at https://gc.ai/careers and through sponsored jobs on LinkedIn. All legitimate communication from our team regarding job opportunities will come from a GC AI team member with a @gc.ai or @getgc.ai email address.
GC AI will never:
Refer you to external websites to apply
Conduct interviews over email, chat platforms, or messaging apps
Ask you to provide payment or purchase equipment
Request personal or financial information such as your mailing address, social security number, credit card numbers, or banking information during the application process
Examples of fraudulent email addresses:
Any email address ending in @gmail.com, @yahoo.com, or other free email services
If you are contacted by someone claiming to be from GC AI via an unofficial channel or from a suspicious email address, please do not share any information. Mark the communication as "phishing" or "spam" and do not respond.
Skills Required
- Production experience with IAM, service accounts, project isolation, and networking on Google Cloud Platform
- Built and maintained infrastructure as code (Terraform, Pulumi, or similar)
- Experience building and maintaining CI/CD pipelines for safe, reliable deployments
- Experience unifying logging and observability pipelines at scale
- Strong backend engineering skills and ability to write production-quality code
- TypeScript experience
- Pragmatic operational risk management and strong ownership mentality
- Familiarity with SRE practices, incident response, or on-call workflows
- Experience with platform engineering, internal developer platforms, or developer tooling
- Experience acting as a technical lead or strong communication skills
GC AI Compensation & Benefits Highlights
How does GC AI ensure its pay and bonus plans are competitive?
GC AI ensures its pay and bonus plans are competitive through a structured and transparent compensation approach. The company publishes pay transparency, uses defined pay bands with transparent earning potential, and sets defined commission tiers and policies for applicable roles. Its compensation package also includes company equity and a 401(k), giving employees a clear view of both immediate pay and long-term financial upside.
GC AI reinforces that compensation philosophy with practices that create consistency and clarity across the employee experience. The company promotes from within, supports learning and development, and maintains defined working hours, availability expectations, and goal-setting through an OKR operating model. For job seekers, that signals a workplace where compensation is tied to clearly established expectations, growth opportunities, and a rewards structure designed to stay competitive as the company scales.
GC AI Insights
What We Do
GC AI is the leading legal AI platform built specifically for in-house teams to solve the high-precision workflows they face every day. With powerful features like Easy Prompt™, Exact Quote™ citations, and native Microsoft Word integration, GC AI enables legal professionals to be strategic business partners through faster and more accurate drafting, reviewing, researching, and redlining. Purpose-built for sensitive, high-stakes matters, the platform leverages five large language models while maintaining enterprise-grade security as a SOC 2 Type II certified provider that never uses confidential data for training. Founded by three-time General Counsel Cecilia Ziniti and AI engineer Bardia Pourvakil, GC AI is trusted by over 1,600 legal teams globally, including brands like News Corp, Skims, TIME Inc., Liquid Death, and Vercel. Discover the difference of becoming an AI-powered lawyer. Try it free or book a demo at gc.ai.
Why Work With Us
GC AI offers a rare opportunity to join a high-growth category leader at the intersection of generative AI and deep legal expertise. Our culture is defined by a "1% better every day" philosophy, favoring curious, customer-obsessed builders who thrive in a high-ownership environment where they can see the immediate impact of their work.
Gallery
GC AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Many roles are eligible for remote work in the U.S. and Canada. For folks who live within 50 miles of our San Mateo, CA, or Provo, UT offices, we value in-person collaboration and work in the office on Tuesday, Wednesday, and Thursday.

