CAST AI

Role Description CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex. You will work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: - Bulgaria - Croatia - Estonia - Greece - Hungary - Latvia - Lithuania - Poland - Romania - Slovakia - Slovenia - Ukraine Qualifications - Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments. - Experience troubleshooting database-related issues in one of your previous roles—whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems. - Strong programming skills in Go and/or C++. - Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment. - Strong written and verbal communication skills in English. - Ability to work independently and collaboratively within a team. - Startup mindset: adaptable, proactive, and comfortable with ambiguity. - A proactive, problem-solving mindset with a "yes we can" attitude. Requirements - Design, build, and operate database optimization services in Go and C++. - Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings. - Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database). - Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities. - Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking. - Shape public and internal APIs with an eye for simplicity and developer experience. - Participate in design reviews, code reviews, and occasional customer deep-dives. Benefits - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). - 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. - Private health insurance. - 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. - Annual hackathon to spark new ideas and strengthen team bonds. - 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.

Role Description - Build things publicly with 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 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 the dev community and 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 Kimchi as a technical peer. - Identify where new users get stuck and advocate hard for fixes. - Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market. Qualifications - You've built real software and can talk about it credibly - ideally you've used 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 Kimchi solves interesting - before this job posting even existed. - Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling. Benefits - 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.

Role Description Throughput. Latency. KV cache utilization. Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L. This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap. The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on: - Traffic shape - Sequence-length distribution - Batch dynamics - GPU SKU - Memory bandwidth - Quantization tolerance - A dozen other variables that shift week to week Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply. Qualifications - 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks). - Strong Python - production services, not scripts. - Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU. - Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios. - Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups. - A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact. - Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it. Requirements - Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it. - Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed. - Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own. - Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks. - Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't. - Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect. - Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. Benefits - Competitive salary (depending on the level of experience). - 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. - Annual hackathon to spark new ideas and strengthen team bonds. - 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 - Technical interview (system design) - Live coding - 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.

Role Description As a Customer Success Enterprise Account Manager (called “Client Partner”) at Cast AI, you are an entrepreneurial, independent and enterprise-style professional who is experienced in selling and managing customers in the cloud SaaS space, specifically in the following or adjacent industries: Cloud Infrastructure, Cloud Cost Control, Cloud Security and DevOps tools. As we continue our rapid global expansion, we are looking for growth-oriented Account Managers to join the team and maximize the phenomenal market opportunity that exists for Cast AI and our customers. Responsibilities: - Customer Relationship Management: Build and maintain strong, long-term relationships with customers to ensure adoption, satisfaction and retention. - Account Growth: Identify and execute upsell and cross-sell opportunities to expand customer accounts while driving revenue growth. - Onboarding and Training: Work closely with our technical account managers to guide new customers through onboarding, ensuring they fully understand and adopt the company’s products within a well-defined and closely managed onboarding process. - Performance Monitoring: Monitor customer usage, health and risk scores, and performance KPIs to proactively address potential issues. - Collaborate closely with Sales, TAM team, R&D, Partners and more stakeholders across the company to ensure the growth and success of your accounts. Qualifications - 5+ years of experience working with enterprise organisations, navigating complex decision-making structures and multi-year customer engagements. - Proven experience in enterprise customer account management, including execution of upsell, value realization and customer planning. - Ability to identify key contacts, understand client needs, and tailor proposals to address those needs. - Demonstrated success in negotiation and closing, with a commitment to long-term customer satisfaction. Requirements - 5+ years of experience working with enterprise organisations, navigating complex decision-making structures and multi-year customer engagements. - Proven experience in enterprise customer account management, including execution of upsell, value realization and customer planning. - Ability to identify key contacts, understand client needs, and tailor proposals to address those needs. - Demonstrated success in negotiation and closing, with a commitment to long-term customer satisfaction. Benefits - Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. - Enjoy a flexible, remote-first global environment. - 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). - Access UnitedHealthcare plans including medical, dental, and vision coverage. - Equity options. - Learning budget for your professional and personal growth. - Team-building budget and company events to connect with your colleagues. - Equipment budget to ensure you have everything you need. 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.

Role Description Kimchi is 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 early, moving fast, and the developer community is central to how we grow. What you'll do: - Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems, not toy examples. - Own 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 community and product - synthesize what you're hearing into actionable signal, not just vibes. - Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs. - Speak at conferences and run workshops - as a practitioner, not a marketer. - Sit in product planning and represent the developer perspective - including pushing back when something will land badly. - Identify where new users get stuck and advocate hard for fixes. - Help shape Kimchi's voice in the developer community - what we stand for, what we say when a competitor does something worth responding to. Qualifications - You've built real software and can talk about it credibly - ideally you've used agentic coding tools in anger and have opinions about them. - You're a strong technical writer - you can explain complex things clearly without oversimplifying. - You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads. - You understand the difference between marketing to developers and being useful to developers. - You'd have found Kimchi interesting before this job posting existed. - Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling. Requirements - The Kimchi Discord is active and developers are getting real answers fast. - You've published at least 4-6 pieces of technical content that drove meaningful traffic or signups. - Product has a clear, structured view of the top 5 developer friction points - because you built that pipeline. - You've spoken at or run at least one external event. - You're in the product planning meetings and your input is shaping decisions. Benefits - 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.

Role Description Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work. What you'll build: - The ratchet: Engineering solutions to prevent agent mistakes. - Long-horizon execution: Spec-driven autonomy, automatic replanning, and crash recovery. - Planner/executor splits: Using different models for planning, executing, and evaluating. - The harness surface: CLI, TUI, MCP integration, and telemetry. - Memory and context: Managing state and context across sessions. Qualifications - Experience using AI coding agents in real work scenarios. - Strong TypeScript or Go skills in production. - Ability to think in harness terms and diagnose context issues. - Experience driving features end-to-end. Requirements - Build and evolve the agent harness. - Own long-horizon execution and completion metrics. - Architect planner/executor/evaluator pipelines. - Manage agent memory and context. - Own the harness surface and integrations. Benefits - Competitive salary (€6,500 - €9,000 gross, depending on experience). - Flexible, remote-first global environment. - Collaboration with a global team of cloud experts. - Equity options. - Fast-paced workflow with quick feedback. - 10% of work time on personal projects or self-improvement. - Learning budget for professional and personal development. - Annual hackathon to spark new ideas. - Team-building budget and company events. - Equipment budget for necessary tools. - Extra days off for work-life balance.

Role Description As an Enterprise Account Executive at Cast AI, you are an entrepreneurial enterprise sales professional experienced in selling cloud SaaS in the following or adjacent industries: - Cloud Infrastructure - Cloud Cost Control - Cloud Security - DevOps tools As we continue our rapid global expansion, we are looking for goals and people-oriented Account Executives to join the team and maximize the phenomenal market opportunity that exists for Cast AI. Qualifications - 10+ years of experience as an Account Executive in the enterprise segment - 4+ years of experience working with MEDDPICC or any sales qualification methodology - Proven ability to navigate complex, multi-threaded deals involving CTOs, VP Engineering, and FinOps leaders simultaneously - Ability to translate complex technical products into clear business ROI narratives - Strong collaboration with Sales Engineering, Customer Success, and Marketing - Ability to identify key contacts, understand client needs, and tailor proposals - Experience with Kubernetes, sales lifecycle, and Cloud space is a significant plus Requirements - Location: candidates must be based in Dallas or Austin - Proven experience in Opportunity Assessment, Value Discovery, Value Demonstration, and Value Delivery - Demonstrated success in negotiation and closing, with a commitment to long-term customer satisfaction - Ability to present pipeline reviews confidently to leadership - Brings solutions, not problems - we’re in build mode, so we need partners/collaborators that want to help build excellence in the Americas GTM Responsibilities - Absolute ownership to build and source sustainable pipeline coverage - Conducting Opportunity Assessments to pinpoint viable, high quality opportunities - Engaging in Value Discovery to align our solutions with client needs - Ensuring Value Delivery through meticulous implementation and results measurement - Map, navigate and establish key stakeholder alignment - Exhibiting high attention to detail throughout the sales process to confidently close and forecast to plan Benefits - Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology - Enjoy a flexible, remote-first global environment - 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment) - Access UnitedHealthcare plans including medical, dental, and vision coverage - Equity options - Learning budget for your professional and personal growth - Team-building budget and company events to connect with your colleagues - Equipment budget to ensure you have everything you need 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.

Role Description We're looking for a Product Designer to help transform and scale our product while delivering exceptional user experiences. At Cast AI, we foster open collaboration in a flat structure, giving you the opportunity to work with top-tier professionals and shape key product components. Designing for Cast AI isn't just about aesthetics. It's about tackling technical challenges and understanding how things are wired at the backend. With a platform built for DevOps and engineers, technical awareness is crucial. To create intuitive experiences, you'll need to immerse yourself in the technology, learning how complex systems interact and making them more accessible through thoughtful design. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: - Bulgaria - Croatia - Estonia - Greece - Hungary - Latvia - Lithuania - Poland - Romania - Slovakia - Slovenia - Ukraine Qualifications - A portfolio or case study showcasing design work for SaaS platforms, data visualization tools, or similar data-heavy applications. - Proven experience across all design phases: user research, wireframes, prototypes, visual design, and usability testing. - Highly curious about technology. You can understand APIs, are comfortable working alongside developers, and can articulate design decisions to technical stakeholders. - Experience with AI-assisted design workflows. Requirements - Experience designing for developer tooling, infrastructure, or cloud platforms (nice to have). - Familiarity with Kubernetes concepts or cloud cost optimization workflows (nice to have). Responsibilities - Develop deep product understanding to identify improvement opportunities, define user problems, and craft effective solutions. - Thrive in a fast-paced environment, responding agilely to evolving project requirements and tight deadlines. - Provide and seek feedback from fellow designers and cross-functional team members (design, engineering, product, sales) to foster continuous improvement. - Lead and conduct research initiatives end-to-end, developing user personas and journey maps to advocate for users and drive design decisions based on insights. - Keep on top of the evolving industry and find the most optimal ways of working through new AI workflows. Benefits - Competitive salary (€4000 - €6500 gross, depending on the level of experience). - 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. - Annual hackathon to spark new ideas and strengthen team bonds. - 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 - Home assignment - Hiring Manager interview - Case study + workshop - Culture Check interview with an executive Portfolio Requirement Please include a portfolio with your application that highlights your design expertise and experience delivering work for SaaS platforms, data visualization tools, or similar data-heavy applications. This helps us understand your design capabilities and how you approach complex problems. *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.

Role Description In the AI Enabler team, our day is usually full of R&D challenges. Have you ever encountered a situation where you need to expand your AI infrastructure so that the applications can automatically pick the right large language models (LLMs) that are both more cost-efficient and better performing? Most of us probably do nowadays, or at least understand the complexity of making such decisions while keeping track of our cloud budget. One of the team's responsibilities is ensuring that whenever a customer makes AI-related decisions regarding their K8s infrastructure, they are implemented automatically without unnecessary costs or hassle. This is just one small piece of a bigger puzzle. To get into a more detailed perspective, ask yourself the following questions: - How often do you use LLMs? - What is the least expensive LLM you can pick for a given prompt without degrading the quality of the response? - How much do your applications cost per 1 million tokens and how can you improve it? - Which API keys have the biggest waste? - How can you improve your frequently running prompt to use fewer tokens? - What is fine-tuning and how to do it efficiently? - What is a transformer? Being a part of this team would involve design and decision-making end-to-end while collaborating with colleagues from other teams. Cast AI, being a technical product, encourages not only coding something as written in the JIRA ticket but also coming up with new features and potential solutions to customers' problems. Given that the team is working on a technical greenfield project, you will have the opportunity to impact it in many ways positively. Here are some of the tools we use daily: - Python - vLLM, SGLang, TensorRT, PyTorch - ClickHouse - PostgreSQL for persistence - GCP Pub/Sub for messaging - gRPC for internal communication - REST for public APIs - Kubernetes, which our product is evolving around - AWS, GCP, and Azure cloud providers, which are currently supported in our platform - GitLab CI with ArgoCD as our GitOps CD engine - Prometheus, Grafana, Loki, and Tempo for observability Qualifications - 5+ years of hands-on experience in Data Science and Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects. - Strong software engineering skills in Python. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines. - Expertise in ML inference optimizations, including techniques such as: - Reducing initialization time and memory requirements; - Utilizing reduced precision and weight quantization; - Inference engine tuning (vLLM, SGLang, TensorRT). - Knowledge of network optimization for distributed ML training and inference. - Understanding of distributed training patterns and checkpointing strategies. - You have to be physically in any of the European countries GMT 0 to GMT +3. - Strong English skills. - Strong verbal and written communication skills. - Ability to work independently and collaborate in a group. Requirements - Evaluate and Analyze LLM performance. - Architect and build inference and training pipelines, directly contributing through hands-on design, model training pipeline, and deployment strategies. - Stay up to date with industry trends. Benefits - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) - 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. - Annual hackathon to spark new ideas and strengthen team bonds. - 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 - Technical interview (system design) - Live coding - 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.

Why 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. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. Cast AI Technical Account Management Cast AI is expanding its Customer Success presence in South Korea, one of our key growth markets in APAC, and we're looking for a Senior Technical Account Manager to manage important customers in this region. As a Senior TAM, you will be the technical leader and trusted advisor for your assigned accounts, independently managing complexity across enterprise Kubernetes environments and building the deep, long-term relationships that drive real outcomes. This is a high-impact role at a fast-growing company where your work will be visible from day one. A Glimpse into the Customer Success Team Our customer-obsessed technical account management team is dedicated to delivering world-class assistance to our clients. They are the bridge between our customers and the wider Cast AI organization, representing the customer's voice to Cast AI and the voice of Cast AI to the customer. The team ensures that our customers are successful in their use of our platform. Requirements: - Located in Seoul. - Business-level fluency in English; Korean fluency required for customer-facing work. - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 5+ years of hands-on experience working with Kubernetes in production environments, including deep expertise in cluster architecture, workload optimization, and incident resolution. - CKA, CKAD, CKS, or equivalent advanced certifications strongly preferred. - 5+ years of professional experience in cloud computing across one or more major platforms (AWS, Azure, GCP), with demonstrable expertise in cost optimization, infrastructure design, and FinOps principles. - Proven track record of owning enterprise accounts end-to-end — including renewals, expansion, and executive relationship management. - Ability to lead technical discussions at the architect and VP level, as well as translate complex infrastructure concepts for business stakeholders. - Strong executive presence, outstanding written and verbal communication skills, and the ability to operate autonomously in a fast-paced, distributed environment. - Prior experience in a technical pre-sales, solutions architecture, or senior TAM capacity at a cloud-native or SaaS company is a strong plus. Responsibilities: - Technical Leadership - Serve as the primary technical authority for your portfolio, acting as the first point of escalation and an extension of your customers' engineering teams. - Strategic Account Ownership - Build and maintain executive-level relationships; develop multi-year account plans that align Cast AI's roadmap to customer business outcomes. - Customer Onboarding - Lead complex technical onboarding across enterprise-scale Kubernetes environments, coordinating cross-functionally with engineering, product, and support. - Renewals & Expansion - Own the renewal process and proactively identify and execute upsell and cross-sell opportunities in partnership with Account Executives. - FinOps Business Reviews - Lead monthly and quarterly business reviews (remote and in-person), presenting cost savings, automation outcomes, and strategic recommendations backed by data. - Voice of the Customer - Synthesize customer feedback into actionable product insights; act as an internal advocate influencing Cast AI's roadmap. 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