Jobs at CAST AI

Own new-logo sales across the North Central US, including territory planning, outbound pipeline generation, opportunity qualification, value discovery, demonstrations, negotiation, and closing. Build relationships with technical and financial stakeholders, develop ROI business cases, forecast accurately, maintain CRM hygiene, and collaborate with Sales Engineering, Customer Success, and Marketing. The role requires selling technical B2B SaaS products and managing complex, multi-stakeholder enterprise deals.

Leads the AMER sales organization for Kimchi, owning regional revenue, forecasting, pipeline growth, and enterprise deal execution. Recruits, coaches, and scales Enterprise Account Executives while enforcing MEDDIC/MEDDPICC methodology. Builds outbound strategies, sponsors complex executive deals, develops technical buyer relationships, and shapes regional go-to-market plans. Partners with Product Engineering, Solutions Architecture, Customer Success, SDR, and Growth teams to expand enterprise adoption of Kimchi’s AI coding and infrastructure optimization platform.

Build and develop CAST AI’s first dedicated security function. Identify and prioritize risks across multi-cloud infrastructure, Kubernetes, microservices, CI/CD, and AI-enabled systems; operate cloud security tooling; lead threat modeling; advise engineering teams; drive identity, secrets, access, supply-chain, and secure-development controls; support compliance, detection engineering, and incident response. This is a hands-on individual contributor role focused on practical risk reduction and guiding engineering teams through remediation.

Own the full enterprise sales cycle for Cast AI’s cloud automation platform, including outbound pipeline generation, opportunity assessment, value discovery, technical and business demonstrations, negotiation, and closing. Build relationships with enterprise stakeholders, tailor proposals to infrastructure and cost challenges, apply MEDDIC methodology, and partner with implementation teams to deliver measurable customer outcomes.

Leads Cast AI’s global marketing strategy, organization, budget, and operating model. Owns positioning, demand generation, pipeline, customer acquisition, product adoption, marketing efficiency, and revenue contribution. Builds an accountable, AI-enabled marketing organization spanning product marketing, digital, content, field, partner, lifecycle, customer, and marketing operations. Partners closely with executives, Product, Sales, Customer Success, and Revenue Operations across global markets.

Design, build, and operate high-scale backend services in Go supporting authentication, authorization, billing, audit trails, pricing, notifications, feature flags, and savings reporting. Own features from design through production rollout, debug security- and money-critical issues, optimize databases and high-load systems, and collaborate on product direction. The role requires Kubernetes experience, strong API and systems engineering skills, complex project ownership, and participation in on-call rotations where needed.

Design, build, operate, and own backend services in Go for authentication, authorization, billing, audit, notifications, pricing, and reporting. Ensure trust-critical systems are accurate, secure, performant, and scalable. Debug production issues, optimize databases and high-load systems, use Kubernetes, collaborate cross-functionally, shape product direction, and participate in on-call rotations where required.

Design and build production Go-based distributed systems that autonomously manage Kubernetes infrastructure across AWS, GCP, and Azure. Develop cloud resource optimization, workload scheduling, autoscaling, storage, and GPU capacity features. Own projects end-to-end, debug complex distributed systems, work with Kubernetes internals and time-series data, contribute to product direction, and participate in on-call rotations.

Design and build distributed systems that autonomously manage Kubernetes infrastructure at scale. Develop production Go services integrating cloud provider APIs, debug complex cloud-native production issues, and own features from architecture through rollout. Work with Kubernetes internals, time-series data, observability, CI/CD, and cloud resource optimization. Contribute to product direction, collaborate cross-functionally, and participate in on-call rotations where required.

Design, build, and operate internal platform capabilities including CI/CD pipelines, GitOps systems, observability tooling, local development environments, and cloud-native infrastructure. Debug complex production issues across Kubernetes and cloud systems, improve developer workflows, contribute to platform strategy, and participate in on-call rotations. The role requires strong Go and systems engineering skills, end-to-end project ownership, performance optimization, and familiarity with AI coding agents.

Design, build, and operate Cast AI’s internal developer platform, including CI/CD pipelines, GitOps, observability, local development tooling, Kubernetes infrastructure, and cloud systems. Reduce engineering friction, troubleshoot complex production issues, contribute to platform strategy, and participate in on-call rotations. The role requires strong Go and systems engineering skills, project ownership, performance tuning, and comfort with ambiguity.

Own 2–3 large global enterprise accounts, driving account growth, upsells, cross-sells, renewals, and multi-million-dollar ARR expansion. Manage executive relationships, identify new use cases and budgets, negotiate and close complex contracts, monitor account health and customer value, and partner with technical account managers and R&D. Requires extensive enterprise sales or account management experience, strong executive networking, contract negotiation expertise, and familiarity with Kubernetes and cloud environments.

Supports sales teams with technical expertise, delivers product demonstrations and tailored presentations, evaluates client needs, proposes cloud and AI infrastructure solutions, and collaborates with technical teams on customization. Builds client relationships, tracks market and competitor trends, exceeds sales goals, and represents Cast AI at conferences and trade shows. The role requires expertise in cloud technology, Kubernetes, AI/ML, scripting, and fluent German, with travel as needed.

Build and scale Cast AI’s partner and reseller ecosystem across Northern EMEA, initially focusing on the UK. Develop relationships with resellers, MSPs, and DevOps consultancies; create partner-sourced pipeline; drive revenue impact; and collaborate with sales, solutions engineering, marketing, product, finance, and legal teams. The role requires strong cloud and DevOps partner relationships, a hunter mentality, and experience building ecosystems at digital-native companies or ISVs.

Generate outbound pipeline for the French and francophone markets through account research, personalized email, calls, and LinkedIn outreach. Engage engineering, DevOps, and cloud decision-makers in French and English, partner with account executives on territory strategy, test messaging, maintain CRM hygiene, track performance, and develop market-specific prospecting processes. The role requires strong communication, resilience, organization, and the ability to learn technical cloud, Kubernetes, and AI products quickly.

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.

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.