You will be responsible for opening the French and francophone market by prospecting, researching, and engaging target accounts. You will also partner with Account Executives to develop territory plans and manage your own pipeline generation process.
Build and scale a partner and reseller ecosystem across EMEA North to drive revenue growth. Collaborate cross-functionally with sales, marketing, product, and legal teams to execute go-to-market strategies.
Build and maintain a target-account strategy for the Kimchi product across the European market. Execute high-quality outbound campaigns using AI and automation to identify and engage technical and business buyers.
The Client Partner is responsible for managing customer relationships, driving revenue growth through upsells and renewals, and ensuring long-term customer success. They will collaborate with internal teams to monitor account health, execute account strategies, and provide feedback to improve product offerings.
The Global Client Partner will manage 2-3 large enterprise accounts, focusing on driving revenue growth, upsells, and cross-sells. They are responsible for building executive-level relationships and managing the end-to-end commercial lifecycle, including contract negotiations and renewals.
You will provide technical expertise to sales teams to help clients understand product value and conduct compelling product demonstrations. Additionally, you will customize presentations, evaluate client technical needs, and represent the company at industry conferences.
You will build technical content, demos, and integrations to showcase Cast AI products while acting as the voice of the developer community across various platforms. Additionally, you will serve as a structured feedback loop between users and the product team to drive actionable improvements.
You will own the optimization of the inference stack to improve throughput, latency, and cost-efficiency. This involves tuning loaders, schedulers, and kernels while managing distributed inference topologies and quantization strategies.
You will own the end-to-end lifecycle of the routing model, including training, calibration, and release cadence. You will also build production-parity evaluation systems to ensure model performance and reliability in live traffic.
You will lead hands-on demonstrations of inference products and configure Kimchi Studio workspaces within customer environments. Additionally, you will design and implement governance policies, including spending limits and model routing, while translating customer feedback into product improvements.
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.
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 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.
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.
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.
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 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.
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.
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.
