Jobs at Together AI

Build and maintain GTM data infrastructure, dashboards, reports, and reliable data products. Analyze data from Salesforce, Amplitude, production systems, and billing using SQL. Develop foundational knowledge for contributing to dbt models in Snowflake, partner with cross-functional stakeholders, and communicate findings to non-technical audiences.

The Product Marketing Director will lead the PMM function, develop go-to-market strategies, manage product launch calendars, and ensure effective cross-functional collaboration to drive product adoption and user growth.

Lead end-to-end partnerships with hyperscalers and platform partners, negotiate complex commercial structures (revshare, marketplace offers, model licensing), coordinate cross-functional stakeholders, translate partner needs into product and GTM strategy, and collaborate with Finance and Legal to launch and expand strategic cloud integrations.

Build, profile, and optimize Together AI's large-scale training infrastructure. Integrate and validate new model architectures, eliminate performance bottlenecks across compute/memory/communication, and productionize research methods. Enable reliable, scalable fine-tuning for customers and maintain experimental infrastructure to accelerate research-to-production workflows.

Build and ship customer-facing visibility features (events, audit logs, timelines, notifications, analytics) for Together's Cloud. Partner with Data Platform and Observability teams to implement data collection and processing, own scoped backend work end-to-end, write well-tested backend and product code, and maintain data freshness, completeness, and correctness for trustworthy customer insights.

The Solutions Architect will act as a technical advisor, collaborate on AI solutions, run demonstrations, and ensure customer success by integrating technical solutions with business needs.

Lead the design of AI developer tools: own end-to-end product UX, evolve and maintain a production design system, conduct user research, prototype and ship features, and partner with engineering and product to ensure high implementation quality and cross-product consistency.

Lead and coach the SRE team, manage on-call rotations, build and operate infrastructure using Ansible, Terraform, and Kubernetes, implement monitoring and observability, design operational processes, debug production issues, and plan scalable infrastructure growth to ensure high availability and reliability for user-facing services.

Work with customers to design, demo, and deploy generative AI applications using open-source LLMs and Together AI's stack. Run complex POCs, collaborate with sales, provide product and engineering feedback, and create educational content and tooling to enable successful deployment and scaling.

The Infrastructure Design Engineer will design and execute whitespace environments for AI data centers, ensuring optimal power, cooling, and networking support. Responsibilities include collaborating with engineers and contractors, creating CAD/BIM models, and overseeing project compliance with engineering standards.

Serve as the named technical owner for a strategic customer, managing end-to-end GPU infrastructure (compute, networking, storage, facilities). Lead incident lifecycle, RCAs, RMA coordination, observability, capacity expansions, and cross-functional escalation while driving technical roadmaps and executive communications.

The Customer Support Engineer will resolve technical challenges for customers involving AI solutions, collaborating with internal teams to improve offerings and ensure customer satisfaction.

Build and ship full-stack features across Together AI's product surfaces (Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals). Own projects end-to-end from data model and API design to UI, instrument product analytics, monitor system health, and collaborate with design and product to deliver user value while improving frontend and full-stack quality.

Own and ship Commerce frontend features end-to-end: build typed React/Next.js UIs, consume APIs, ensure accessibility and observability, handle billing/payment edge cases, and iterate on product UX with product, design, and backend partners.

Architect and automate an AI-native GTM tech stack, centralize and maintain CRM/data warehouse integrity, lead Salesforce CPQ design and integrations, implement governance, and replace manual GTM tasks with intelligent automation to drive revenue outcomes.

Build production software that provisions and manages GPU hosts and inference clusters through their full lifecycle. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, event-driven automation, and self-healing systems. Partner with inference and ML platform teams to encode cluster requirements, while owning reliability, testing, deployment, and production operations.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Coordinate high-volume interviews across Europe and India, manage offer letters and onboarding/offboarding, support HR administration, and oversee Amsterdam office operations and employee events. The role requires building scalable processes, handling confidential information, supporting employees, and partnering with recruiting, People, and local operations teams in a fast-growing environment.

Build production software that provisions and manages GPU inference clusters without manual intervention. Responsibilities include designing lifecycle state machines, declarative self-service APIs, reconciliation and control planes, event-driven workflows, self-healing automation, reliability mechanisms, and integrations with inference and ML platform teams. The role requires ownership of infrastructure software in production, including testing, versioning, CI/CD, monitoring, and operational support.

As an AI Researcher, you will develop novel architectures and optimizations in machine learning, collaborating with teams to enhance open models and ensuring cutting-edge research practices.