---
title: 'Developer Relations & Experience Engineer at Cast AI'
canonical: 'https://feeny.ai/job/developer-relations-experience-engineer-cast-ai-los-angeles-fez5c4w66aka'
type: 'job'
last_seen: '2026-10-17'
---

# Developer Relations & Experience Engineer at Cast AI

- **Company:** Cast AI
- **Location:** Los Angeles, CA / San Francisco, CA / Seattle, WA / United States
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-17
- **Apply:** https://cast.ai/careers/apply/?gh_jid=4425597009

## Job description

## About Cast AI

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

Cast AI also recently launched Kimchi, an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable.

We're trusted in our core business and early and moving fast with our Kimchi Coding platform, and the cloud native & developer communities are central to how we grow.

Location: United States (ideally West Coast, or willing to travel to the West Coast as needed).

## Responsibilities

- Build things publicly with the Cast AI suite of products - Core, GPU Optimization, Database Optimization (DBO), and Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
- Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
- Be the structured feedback loop between our diversity of users   and the  product - synthesize what you're hearing into actionable signals for the product team.
- Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
- Speak at conferences, meetups and run workshops - representing Cast AI core products & Kimchi as a technical peer
- Identify where new users get stuck and advocate hard for fixes
- Help shape Cast AI’s voice across practitioner  communities (devs, DevOps, CNCF, AI, platform/SRE) - what we stand for, what we say when there is trending news in the market

## Requirements

- You've built real software and can talk about it credibly - ideally you've used Kubernetes and peripheral CNCF ecosystem tooling, as well as agentic coding tools and have opinions about them
- You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
- You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
- Huge plus: You'd have tested and found problems Cast AI & Kimchi solve interesting -  before this job posting even existed
- Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling

What’s in it for you?

- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.

Hiring process

- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

## About Cast AI

## Company Overview
- **One-liner**: Cast AI provides an Application Performance Automation (APA) platform that continuously optimizes Kubernetes infrastructure for cost, performance, and reliability with minimal manual intervention.
- **Entity Type**: Private (Series C; total funding ~$185.8M–$199.9M per conflicting reports)
- **Headquarters**: Miami, Florida, United States
- **Founded**: 2019
- **Founders**: Leon Kuperman (CEO), Laurent Gil (President), Yuri Frayman (CTO)

## Core Business
- **Primary industry**: Kubernetes optimization, cloud cost management, and application performance automation.
- **Target customers**: Platform, SRE, and FinOps teams at B2B companies running Kubernetes (SMB to enterprise).
- **Mission/purpose statement**: “The cloud as promised: fast, reliable and cost-efficient.” [cast.ai/about-us](https://cast.ai/about-us/)

## Products & Services
- **Cast AI APA Platform**: A SaaS platform that ingests real-time workload, cost, and SLO signals to autonomously rightsize pods, scale nodes, optimize GPU and Spot instances, and self-heal operational issues. Supports AWS EKS, Azure AKS, Google GKE, and on-prem clusters. Includes cost and performance dashboards, agentic runbooks, and workload-aware predictive models. [cast.ai](https://cast.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual Revenue reported as ~$60M (LinkedIn); Total Funding ~$185.8M (LinkedIn) or ~$199.9M (CB Insights – conflicting reports).
- **Notable Investors/Partners**: Specific investors are not named in available sources; funding rounds include Series B ($35M, Nov 2023, 3 investors), a venture round ($20M, Mar 2023), and Series C ($108M, Apr 2025, 8 investors). [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai) | [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)
- **Growth Signals**: 2100+ customers globally; 40% cloud waste reduction claimed; 270 employees (+19.4% YoY); ranked #1 out of 223 solutions in its category; offices in Miami, New York, Vilnius, London, Tel Aviv, Bengaluru, Dallas. [cast.ai/about-us](https://cast.ai/about-us/) | [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Competitive Advantages
- **Predictive engine trained on massive dataset** from thousands of clusters and millions of workloads – moves beyond rule-based automation to workload-aware decisions.
- **App-aware reliability**: Predicts spot instance interruptions up to 30 minutes before they occur, enabling graceful workload migration.
- **Agentic runbooks** that self-heal drift, image issues, policy violations while requiring human approval for changes.
- **Works in read-only mode initially** – no infrastructure changes required to start, lowering adoption risk.

## Strategic Focus
- Expanding automation to GPU/AI workload optimization alongside traditional Kubernetes rightsizing.
- Deepening integrations with cloud providers (AWS, Azure, Google) and extending agentic capabilities.
- Scaling global presence with remote-first teams and new offices in key tech hubs.

## Why Work Here
- **Remote-first** culture with flexible hours and fully supported remote work; offices available in multiple countries. [cast.ai/careers](https://cast.ai/careers/)
- **Benefits**: Stock options from day one, annual hackathon, home office allowance, learning & development budget, comprehensive health insurance, bonus days off, company events.
- **Engineering culture**: Values “practice customer obsession,” “develop and hire the best,” “lead by ownership,” and “expect and advocate change.” Emphasis on innovation and fast learning.
- **Glassdoor style**: Employer rating 4.3/5 (57 reviews); culture 4.0, compensation 4.2, career 4.2. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Sources
1. [cast.ai/about-us](https://cast.ai/about-us/)
2. [cast.ai](https://cast.ai/)
3. [cast.ai/careers](https://cast.ai/careers/)
4. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)
5. [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)

## Other roles at Cast AI

- [Partner Account Manager | UK](https://feeny.ai/job/partner-account-manager-uk-cast-ai-london-9t46j8z3p2dy) — London, United Kingdom
- [Head of Channel | USA](https://feeny.ai/job/head-of-channel-usa-cast-ai-united-states-n0yabb51zdk8) — United States
- [Business Development Representative | French Speaking](https://feeny.ai/job/business-development-representative-french-speaking-cast-ai-london-7f260q0yx0n3) — London, United Kingdom
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- [Senior ML Engineer | Kimchi (Inference Stack Optimization)](https://feeny.ai/job/senior-ml-engineer-kimchi-inference-stack-optimization-cast-ai-austria-france-8pyy2hw5mzq4) — Austria / France / Germany / Italy / Netherlands / Poland / Spain / United Kingdom
- [AI Solutions Architect](https://feeny.ai/job/ai-solutions-architect-cast-ai-atlanta-napppq3hkddm) — Atlanta, GA / Boston, MA / New York, NY / Seattle, WA
- [AI Solutions Architect](https://feeny.ai/job/ai-solutions-architect-cast-ai-amsterdam-54tzs7y6f2yz) — Amsterdam, Netherlands / EMEA / Lithuania / London, United Kingdom / Tel Aviv, Israel
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