Design and manage comprehensive onboarding and training programs to accelerate productivity for revenue teams. Partner with cross-functional departments to translate product updates into effective sales content and facilitate ongoing coaching sessions.
Cast AI
19 Remote Job Openings at Cast AI
Own the positioning, messaging, and go-to-market strategy for the core Kubernetes optimization platform across various technical personas. Manage end-to-end feature launches and maintain a continuous feedback loop between market signals and product roadmap.
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.
Build public tutorials, demos, and integrations to showcase Kimchi's capabilities while managing developer communities on Discord, GitHub, and Reddit. Act as a technical bridge between the community and the product team to synthesize feedback into actionable signals.
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.
Act as the primary technical advisor and escalation point for enterprise Kubernetes accounts to ensure customer success. Lead technical onboarding, drive renewals, and conduct FinOps business reviews to showcase cost savings and automation wins.
Own the performance engine across Cast AI and Kimchi, managing paid media strategy and AI visibility. Focus on Generative Engine Optimization (GEO) and performance partnerships to drive a measurable pipeline.
Own social media strategy and execution across LinkedIn, X, and YouTube to drive reach and conversion for two products. Repurpose existing assets into social-native formats and run creative brand growth campaigns to build pipeline.
Act as the primary subject matter expert to provide deep technical guidance and resolve complex Kubernetes issues for customers. Document best practices and mentor junior team members while participating in an on-call rotation.
Own the architecture and administration of the GTM technology stack, including Salesforce and various sales engagement tools. Design and implement automated workflows and AI-driven integrations to optimize lead routing and revenue operations.
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.
Own a product area end-to-end from discovery to delivery, focusing on Kubernetes-powered products for enterprise customers. Drive market discovery and use AI tools to synthesize research and define product narratives.
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.
You will build and evolve the agent harness by implementing hooks, permission gates, and context compaction to ensure reliable task completion. Additionally, you will architect planner/executor/evaluator pipelines and manage agent memory to support long-horizon, multi-session execution.
The Account Executive is responsible for building and sourcing a sustainable sales pipeline while conducting opportunity assessments and value discovery. They must map and navigate complex stakeholder relationships to ensure successful value delivery and deal closure.
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.
Design and build distributed systems that autonomously manage Kubernetes infrastructure at scale. Write production-grade Go services to interact with cloud provider APIs for real-time resource management.
Design, build, and operate backend services, Kubernetes operators, and controllers in Go across major cloud platforms. Solve complex infrastructure-layer problems including networking, scheduling, storage, and container runtime internals.
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.