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Developer Relations Advocate - AI Cloud

Developer Relations Advocate - AI Cloud

LavendoDenver, CO, US
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Job Description

Job Description

About the Company

Our client is building the infrastructure that powers tomorrow’s breakthrough AI applications. As a publicly traded with 1000+ employees and R&D hubs spanning Europe, North America, and Israel, they combine startup agility with enterprise scale—putting cutting-edge cloud and AI tools directly into developers’ hands.

The Mission

Accelerate developer innovation by making high-performance cloud resources accessible, reliable, and easy to use. You’ll help shape the future of AI by empowering engineers to harness virtual machines, GPU clusters, orchestration frameworks, and optimized ML pipelines.

The Opportunity

Join the Developer Relations team as the pivotal advocate for our client’s next-generation cloud platform. You’ll work hands-on with state-of-the-art NVIDIA GPUs and one of the world’s most powerful commercially available supercomputers. Your impact will be measured in real developer success stories.

What You’ll Do

Develop hands-on tutorials, sample code, and reference architectures showcasing VMs, GPU clusters, Kubernetes, SLURM, and Soperator

Create technical content that speaks developer-to-developer—practical solutions with no marketing fluff

Deliver live demos and presentations at conferences, workshops, and virtual events

Lead workshops, webinars, and hackathons to help developers level up their cloud and ML infrastructure skills

Engage authentically in forums, GitHub discussions, and community meetups to solve real infrastructure challenges

Capture developer feedback and work cross-functionally to remove friction points in documentation, tooling, and APIs

Advocate internally for the tools, guides, and experiences developers actually need

What You Bring

3+ years in software development, cloud engineering, DevOps, or similar roles

Deep understanding of distributed computing, containerization, and resource management in cloud environments

Hands-on experience with GPU clusters and optimizing ML workloads

Proficiency in Python and familiarity with the PyTorch ecosystem

Strong communication skills : technical writing, public speaking, and live coding

Proven track record of engaging with developer communities, open-source projects, or technical forums

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

Key Success Drivers

Authentic technical credibility : you solve infrastructure challenges, not just talk about them

Community-first mentality : you care about developers’ success above all

Collaborative spirit : you translate between product, engineering, and marketing to drive outcomes

Adaptability and growth mindset : you thrive amid rapid technological change

Why Join?

Competitive Compensation : $175,000–$250,000 OTE + RSUs

100% company-paid medical, dental, and vision for employees and families

Company-paid short- and long-term disability, plus life insurance

401(k) with 4% match, immediately vested

20 weeks paid parental leave (primary), 12 weeks (secondary)

Up to $85 / month mobile and internet reimbursement

Work Environment : Fully remote, flexible startup culture backed by enterprise-grade resources

Cutting-Edge Tech : Hands-on access to NVIDIA’s latest GPUs, Soperator, and supercomputing clusters

Career Impact : Your work directly shapes developer experience, product direction, and industry standards

Interviewing Process

HR Screening

Technical Recruitment Lead (In-depth)

Hiring Manager (In-depth)

Technical Assessment

Reference & Background Checks

Job Offer

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Compensation Range : $175K - $250K

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