Jobs at CAST AI

Build public tutorials, demos, integrations, benchmarks, and technical content for Cast AI and Kimchi. Engage developers across Discord, GitHub, Reddit, and Hacker News; synthesize community feedback for product teams; represent products at conferences and workshops; identify onboarding issues; and help shape the company’s voice across cloud-native, DevOps, AI, platform, and SRE communities.

Optimize large-scale ML inference systems for throughput, latency, cold-start time, and cost per token. Tune SGLang, vLLM, and TensorRT-LLM across GPUs and distributed clusters; improve batching, scheduling, KV caching, quantization, weight loading, JIT caching, and multi-node inference. Profile and instrument systems to validate performance gains, eliminate storage and networking bottlenecks, and establish technical direction through reproducible benchmarks and experiments.

Generate outbound pipeline for the French and francophone markets through account research, personalized email, phone, and LinkedIn outreach. Engage engineering, DevOps, and cloud decision-makers in French and English, collaborate with account executives on territory planning, test messaging and cadences, maintain CRM hygiene, track performance, and learn Cast AI’s technical value proposition. The role offers growth toward account executive, sales leadership, or market development responsibilities.

Lead and scale Cast AI's channel program across GSI, MSP, and VAR tiers. Build the GSI motion, recruit and activate partners, manage the PAM team, establish operating cadences (QBRs, joint planning), define incentives and program infrastructure, and align channel strategy with Sales, SEs, Marketing, Product, Finance, and Legal to make partner-sourced pipeline predictable.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Serve as the founding customer-facing engineer for Kimchi, leading demos, customer environment setup, LLM inference optimization, model routing, governance policy implementation, and serverless API integrations. Translate customer feedback into product improvements while identifying revenue expansion opportunities. Explain complex AI concepts to non-ML engineers and optimize workloads for coding, reasoning, and planning use cases.

Build and operate the inference API platform powering AI services at global scale. Own distributed systems, datastores, observability, analytics, billing, usage metering, role-based controls, and CI/CD. Diagnose performance issues using query profiling and flame graphs, optimize reliability and latency, and deliver features end-to-end from design through production rollout. Collaborate directly with product and engineering teams in a fast-paced, ambiguous startup environment.

Design and build distributed Go systems that autonomously manage Kubernetes infrastructure and cloud resources at scale. Own features end to end, debug complex production issues, integrate with AWS, GCP, and Azure APIs, and work with Kubernetes internals, time-series data, observability, CI/CD, and cloud-native tooling. Collaborate across teams, influence product direction, and participate in on-call rotations where required.

Own end-to-end product design for Kimchi’s developer platform, spanning CLI, desktop, IDE extensions, inference, and spend management. Lead user research, shape product strategy, prototype in code with AI-assisted workflows, and deliver measurable outcomes. Collaborate with engineers and designers, communicate asynchronously, participate in design reviews, and prioritize design debt. The role requires designing for technical users, navigating ambiguity, and influencing product direction through research and direct product usage.

Design, build, operate, and optimize backend services in Go for authentication, authorization, billing, audit, notifications, pricing, and reporting. Own complex features end-to-end, troubleshoot security- and money-critical production issues, optimize databases and high-load systems, collaborate across teams, contribute to product direction, and participate in on-call rotations.

Design, build, and operate internal platform systems supporting CI/CD, GitOps, observability, local development, Kubernetes, and cloud infrastructure. Improve developer productivity through paved roads, self-service tooling, and reliable deployment workflows. Debug complex production issues, optimize performance, contribute to the platform roadmap, and participate in on-call rotations.

Senior Product Marketing Manager responsible for launching Kimchi, Cast AI’s agentic AI infrastructure platform. The role owns customer research, ICP definition, positioning, messaging, GTM experiments, feature launches, sales enablement, competitive intelligence, and roadmap feedback. The manager will translate technical differentiation for developer and technical audiences, collaborate closely with Product and Engineering, and build AI-assisted workflows. This is a hands-on, zero-to-one role in a remote-first global environment.

Build and scale a partner and reseller ecosystem across EMEA North (and later wider EMEA). Identify and onboard resellers, MSPs, and DevOps consultancies; drive partner-sourced pipeline and revenue; and collaborate cross-functionally with sales, SE, marketing, product, finance, and legal to operationalize partnerships.

Lead end-to-end international recruitment across technical and go-to-market functions in EMEA, AMER, and APAC. Partner with hiring managers, develop recruiting strategies, source diverse candidates using modern and AI-powered tools, coach interviewers, manage candidate experience, and help build scalable hiring processes in a fast-growing SaaS environment.

Own end-to-end development of Kimchi Studio features, a desktop application for collaborative autonomous coding agents. Design, implement, test, and roll out product capabilities using TypeScript, Electron, React, Node.js, and Go. Diagnose performance issues with query profiles and flame graphs, prioritize UX polish and speed, and collaborate directly with product and engineering teams in a remote-first environment.

Own the full enterprise sales cycle for Cast AI’s Kubernetes and cloud infrastructure automation platform in the UK. Responsibilities include outbound pipeline generation, opportunity qualification, value discovery, technical and business demonstrations, stakeholder engagement, proposal development, negotiation, closing, and measuring customer outcomes. The role requires selling cloud SaaS or adjacent DevOps, cloud security, or cloud cost-control solutions using the MEDDIC methodology.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

Owns go-to-market business intelligence strategy, data modeling, metric governance, dashboards, and executive reporting. The role defines trusted revenue metrics across Sales, Marketing, Partnerships, Customer Success, and executive teams; builds pipeline, funnel, productivity, forecasting, cohort, and segmentation analyses; ensures Salesforce data quality; manages BI tooling; and translates stakeholder questions into reusable insights. This is a hands-on, remote-first role requiring strong SQL, BI platform, Salesforce, SaaS metrics, and stakeholder management expertise.

Serve as the technical lead for Kimchi sales across EMEA. Run enterprise proofs of concept, integrate coding-agent workflows, configure inference gateways, benchmark accuracy and cost, and guide security, data residency, and architecture reviews. Translate technical and business value for engineering leaders, troubleshoot integrations live, convert evaluations into signed business, support account executives, provide product feedback, and represent the company at regional events.

Support sales teams with technical expertise, demonstrate cloud and AI infrastructure products, tailor presentations, assess client needs, propose solutions, and collaborate on technical customizations. The role also involves monitoring market trends, representing the company at conferences and trade shows, building client relationships, and helping customers understand the value of Kubernetes and cloud automation technology.