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Own full sales cycle for strategic AI-native and enterprise accounts: generate pipeline, close new business, expand customers, and partner with Solutions, Engineering, and Research to run POCs and scale deployments. Provide technical and business insights to inform product and sales strategy.

Provide technical support to customers on AI solutions, resolve complex issues, collaborate with teams, and improve product offerings.

Operate and scale Together AI's production infrastructure: run GPU-enabled Kubernetes clusters, automate with Ansible and Terraform, build monitoring/observability, respond to incidents (on-call), debug production issues, design deployment/upgrade processes, and plan infrastructure growth for high availability and scalability.

As a Senior Developer Productivity Engineer, you will enhance CI/CD processes, optimize workflows, and build tools for efficient software delivery.

The Site Reliability Engineer ensures user-facing services run smoothly, focuses on systems reliability and scalability, and enhances operational practices through automation and engineering principles.

Partner with strategic customers to optimize LLM inference and post-training pipelines, tune inference engines for latency/throughput, run and productionize fine-tuning (LoRA, SFT, DPO, RLHF), and feed field insights into product and model roadmaps to ensure successful POCs and deployments.

Provide legal support for infrastructure procurement and enterprise commercial deals. Lead negotiations for GPU/cloud capacity, data center, networking, and vendor agreements; align vendor terms with customer contracts; manage export controls and data/privacy compliance; build templates, playbooks, and scalable procurement and sales workflows; support partnerships, reseller and go-to-market deals; and run procurement processes and vendor template libraries.

The Staff Machine Learning Engineer will optimize the inference layer for voice applications, focusing on model serving and real-time audio processing. Responsibilities include driving performance architecture, collaborating with model partners, and developing evaluation frameworks for STT and TTS models.

This role involves optimizing model serving layers for voice AI applications, working with inference engines, and improving performance for STT and TTS systems.

Design, deploy, and maintain large-scale hybrid HPC/data-center networks. Troubleshoot and analyze network issues, recommend technologies, develop automation, ensure reliability, manage vendor relationships, and lead complex network projects.