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The Account Executive will manage the sales cycle for fal's AI platform, develop strategies, lead negotiations, provide market insights, and mentor junior sales team members.

The BDR will engage in prospecting, qualify leads, communicate Fal's value, and collaborate with teams, focusing on AI and tech environments.

The Account Executive will generate qualified opportunities, manage sales cycles, partner with creative teams, and drive long-term customer adoption of AI applications.

The Senior Data Scientist will architect analytical frameworks, develop metrics, influence product strategies, and ensure data quality for product intelligence.

Operate and improve Kubernetes-based production systems, manage cluster lifecycle and networking, build CI/CD and GitOps pipelines, define SLOs and incident response, automate resolution with AI, implement monitoring/alerting, and drive reliability through automation and chaos engineering.

As an ML Engineer, develop and operationalize machine learning models, focusing on enhancing user experiences and novel architecture developments.

The Enterprise Account Manager will partner with enterprise customers, driving product decisions and defining enterprise features while collaborating with internal teams.

Design and build event-driven billing systems, integrate with payment providers, and develop data flows for analytics in collaboration with Finance and Product teams.

As a Forward Deployed Engineer, you will engage with enterprise customers, addressing their AI workload needs by deploying and scaling solutions while ensuring successful onboarding and integration into the fal platform.

The Technical Support Engineer resolves technical issues for customers, supports integration with APIs, manages tickets, and documents solutions. They collaborate with engineering to improve products and must possess strong problem-solving, communication, and technical writing skills.