The Client Partner will manage existing customer relationships to ensure high adoption, value realization, and long-term satisfaction. They are also responsible for driving revenue growth through renewals, upsells, and cross-selling of cloud solutions.
Design and build distributed systems that run agent fleets at scale across cloud and self-hosted environments with a focus on security. Ensure every agent action is observable, auditable, and governable while developing a remote-first experience for agent interaction.
You will architect planner, executor, and evaluator pipelines while managing agent memory and context across sessions. Additionally, you will own the harness surface, including TUI and MCP integrations, and work directly with users to resolve technical pain points.
You will own the inference API and associated infrastructure, ensuring reliability and scalability for AI services. Additionally, you will develop billing, usage metering, and role-based controls to support users ranging from solo developers to large enterprises.
The VP of Marketing will own the global marketing strategy, organization, and budget to drive measurable growth and product adoption. They will lead international teams across various marketing functions while partnering closely with Sales, Product, and executive leadership.
Design and build distributed systems that autonomously manage Kubernetes infrastructure at scale across multiple cloud providers. Own features end-to-end, including design, implementation, testing, and production rollout of real-time cloud resource management services.
Manage a fast-growing codebase while ensuring it remains flexible, testable, and performant. Collaborate with cross-functional teams to bring designs to life and contribute to the maintenance of the design system.
You will own the end-to-end design process for Kimchi products, including CLI, desktop apps, and developer tooling. You will lead user research initiatives and prototype solutions directly in code to influence product strategy.
Design, build, and operate backend services in Go while owning features end-to-end from implementation to production. Debug complex production issues related to security, financial flows, and trust-critical infrastructure.
Design, build, and maintain CI/CD pipelines and observability tooling to streamline internal engineering workflows. Identify and resolve infrastructure bottlenecks to reduce friction for product teams and improve overall system reliability.
You will build and execute a target-account strategy for the Kimchi product across the European market using AI-driven outbound campaigns. This involves managing the full sales pipeline, conducting account research, and providing market insights to the product and marketing teams.
You will own the full enterprise sales cycle for the Kimchi product, from pipeline generation and discovery to technical validation and closing. You will work closely with technical and business stakeholders to align the platform with their infrastructure and cost challenges.
You will define and validate the ICP for the Kimchi platform while building the first go-to-market playbook from scratch. This involves managing feature launches, creating sales enablement assets, and maintaining a feedback loop between customer signals and the product roadmap.
Build and scale the partner and reseller ecosystem across the region, developing relationships with resellers, managed service providers, and DevOps consultancies. Generate a pipeline of partner-sourced opportunities and collaborate with sales, solutions engineering, marketing, product, finance, and legal teams to drive revenue.
Partner with hiring managers across technical and go-to-market functions to develop and execute effective recruitment strategies. Manage the full-cycle recruitment process while leveraging AI-powered tools to attract diverse, top-tier talent globally.
You will own features end-to-end, including design, implementation, testing, and production rollout. You will collaborate directly with product and engineering teams to solve complex problems in a fast-paced environment.
Identify and validate high-value customer problems, shape ambiguous opportunities into product direction, and lead products from discovery through 0-to-1 development, launch, adoption, and iteration. Partner with customers, engineering, design, and go-to-market teams; define success measures, make prioritization decisions, and communicate product decisions clearly.
Own the full enterprise sales cycle, generating outbound pipeline, qualifying opportunities, leading value discovery, and demonstrating Cast AI's value to technical and business stakeholders. Tailor proposals, negotiate and close deals, and partner with implementation teams to deliver measurable customer outcomes and long-term satisfaction.
The manager will own the end-to-end business intelligence strategy for the go-to-market organization, including data modeling and metric definitions. They will build and maintain executive-ready dashboards and provide actionable insights to support sales, marketing, and leadership decision-making.
You will own the full sales cycle for enterprise accounts, driving outbound pipeline generation and identifying qualified leads. You will lead value discovery conversations and negotiate deals to align the platform with client infrastructure challenges.
You will lead technical proofs of concept and manage the integration of Kimchi coding agents within large enterprise engineering organizations. Additionally, you will act as a technical expert to support sales efforts, handle security reviews, and provide feedback to the product team.
You will provide technical expertise to guide sales teams and ensure clients understand the value of Cast AI products. Additionally, you will conduct product demonstrations, deliver tailored presentations, and represent the company at industry conferences.
Own a product area end-to-end by identifying customer problems and delivering impactful solutions through cross-functional collaboration. Drive market discovery and utilize AI tools to synthesize data, draft specifications, and track product metrics.
Own the full-cycle sales process for the Korea territory, including outbound pipeline generation, negotiation, and closing. Build executive-level business cases and ROI models while navigating complex multi-stakeholder deals within large enterprises.
You will own the end-to-end commercial contracting process, including sales, renewals, and vendor agreements. Additionally, you will lead the standardization of contracting processes and provide legal oversight for the APAC region.
Develop and execute a comprehensive Field and Partner Marketing strategy for the APAC region to drive pipeline and revenue. Manage end-to-end event execution, partner marketing initiatives, and targeted ABM campaigns in collaboration with Sales.
The Founding Account Executive will own the full sales cycle for the Database Optimizer product, from prospecting and technical discovery to negotiation and closing. They will partner with product and engineering teams to build a repeatable sales playbook and translate technical database challenges into quantified business value for customers.
Lead and mentor a team of software engineers while spending at least half of the time contributing directly to product code. Own product development execution, ensuring the scalability and resilience of Kubernetes infrastructure across multiple cloud providers.
Design and execute data science experiments to develop and maintain state-of-the-art machine learning models for tabular and time-series data. Perform deep-dive data analysis to provide actionable business insights and collaborate with cross-functional teams to align projects with company goals.
The Account Executive is responsible for building and sourcing a sustainable pipeline and managing complex enterprise deals. This includes conducting value discovery and aligning solutions with client needs to drive ROI and close high-quality opportunities.
Develop a deep understanding of the product to identify improvements and craft effective solutions for complex technical systems. Lead end-to-end research initiatives and collaborate with cross-functional teams to drive user-centric design decisions.
Evaluate and analyze LLM performance while architecting and building inference and training pipelines. You will contribute to hands-on design, model training, and deployment strategies within a technical greenfield project.
The Sales Engineer will guide sales teams with technical expertise, conduct compelling product demonstrations, and customize persuasive presentations to ensure clients fully utilize the technology. Responsibilities also include evaluating client technical needs, proposing solutions, and representing the company at industry events.
