Together AI
Data AI · Open-source model infra
- HQ
- San Francisco, US
- Website
- together.ai
Data AI · Open-source model infra
Currently tracking 22 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $121k–$300k (avg $227k).
Together AI currently has 25 active AI-related job listings. The majority of these roles, 80%, are focused on serving infrastructure. Engineering is the dominant function with 21 listings, and the United States is the primary hiring country with 19 roles. Frequent tech tags include model serving, inference infrastructure, and fine-tuning. Over the last 30 days, Together AI posted 4 new AI roles, representing a 33% decrease compared to the previous 30-day period.
Together AI currently has 26 active AI-related roles in our index. The most common open titles are: Solutions Architect (2), AI Infrastructure Engineer, AI Researcher, Core ML (Turbo), AI infrastructure Engineer (SRE) Bangalore , Customer Support Engineer (Inference), India. Most positions are in Engineering and Research.
Together AI's active AI hiring is concentrated in: serving infrastructure (81%), post-training (12%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Together AI is hiring AI talent in: United States (20 roles), Netherlands (3 roles), United Kingdom (1 role).
Job postings at Together AI most frequently mention: Production ML Systems, Inference Infrastructure, GPU Computing, LLM Inference, Text-to-Speech.
In the past 30 days, Together AI has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Technical Account Manager (TAM), AI Factory This role is a Technical Account Manager focused on the infrastructure supporting large-scale AI GPU deployments for a strategic enterprise customer. The TAM will be the primary technical point of contact, responsible for the end-to-end technical relationship across compute, networking, storage, and facilities, ensuring smooth delivery and operational health. Responsibilities include issue lifecycle management, hardware lifecycle management, advising on infrastructure stack best practices, owning the observability strategy, coordinating operations, and managing capacity expansions. The role requires deep expertise in GPU infrastructure, large-scale networking, enterprise storage, and DC operations, with experience in customer-facing technical roles and AI/HPC infrastructure. | — | 5 |
| Director, Support Engineering This role leads and scales the customer support function for Together AI, focusing on both API support (serverless/dedicated inference, billing) and GPU support (large-scale training infrastructure). It's a player-coach position requiring hands-on involvement in complex escalations, managing support engineers, defining KPIs, and improving support workflows and tooling. The role requires strong technical depth in AI infrastructure, distributed systems, and experience with SLA-driven operations. | — | 5 |
| Customer Support Engineer (GPU Cluster) Customer Support Engineer role focused on supporting customers using Together AI's GPU clusters for training, fine-tuning, and inference. The role involves resolving complex technical challenges, acting as a product expert, and collaborating with Engineering and Product teams. Requires experience in customer-facing technical roles, familiarity with AI/ML, GPU technologies, and infrastructure services like Kubernetes. | — | 5 |
| Sr. Partnerships Manager, Model Ecosystem This role is responsible for building and managing the model ecosystem for Together AI, focusing on negotiating deals with model builders to bring proprietary and open-source models onto the platform. It involves working closely with Product, Finance, and Marketing to ensure the model roadmap is technically superior, commercially viable, and market-facing. The role requires strong deal-making, technical curiosity, and experience in business development or strategic partnerships within developer platforms. | — | 5 |
| Backend Software Engineer — Data Platform & AI Data Products Backend Software Engineer focused on building data platform infrastructure and LLM-adjacent data products. The role involves designing and developing backend services for event streams, access layers, and APIs, as well as creating services for prompt categorization, enrichment, and metadata. The engineer will apply AI augmentation mindset to their own development and the systems they build, with a focus on production backend systems, distributed systems, and data modeling. | Serve | 5 |
| Customer Support Engineer (Inference), India Customer Support Engineer role at Together AI, focusing on supporting customers with their training, fine-tuning, and inference solutions. The role involves deep technical problem-solving on GPU clusters and AI services, acting as a product expert and a liaison between customers and internal engineering/product teams. Requires strong technical background in AI, ML, and HPC, with experience in customer-facing technical support. | ServePost-train | 5 |
| Engineering Manager / Tech Lead Engineering Manager / Tech Lead for the Sandbox team, responsible for building and operating isolated, secure compute environments for AI code execution, including reinforcement learning workflows, LLM code interpreters, and AI agents. This role involves technical leadership, people management, hiring, and collaborating with product and other engineering teams. The team builds sandbox infrastructure, SDKs, platform integrations, and developer tooling. | — | 5 |
| Lead Product Designer Lead Product Designer to craft user experiences for technical AI development tools, shape AI development, and establish design standards for a growing organization. This role involves leading UX initiatives, elevating design quality, and collaborating with Engineering, Product, and Marketing. | — | 5 |
| Senior Software Engineer, Observability Senior Software Engineer focused on building and scaling a robust observability platform for AI infrastructure, including metrics, logs, traces, monitoring, alerting, and anomaly detection. The role involves designing and implementing scalable systems using tools like Prometheus, Grafana, ClickHouse, OpenTelemetry, Go, Python, and Terraform, with a focus on distributed systems, containerization, and orchestration. | — | 5 |
| Product Marketing Director Product Marketing Director at Together AI, a frontier AI cloud company. This role will own platform and product value propositions, GTM strategy, product launches, and messaging. The role involves leading and scaling the PMM function, partnering with Product Management, Sales, and Engineering. Requires 10+ years of PMM experience in enterprise software (preferably AI/Cloud) and 5+ years in team leadership. The company has seen significant growth and is research-driven, contributing to open-source AI advancements. | — | 5 |
| Customer Support Engineer (GPU Cluster), India Customer Support Engineer for GPU Clusters at Together AI, focusing on resolving technical challenges for customers building training, fine-tuning, and inference solutions. The role involves being a product expert, collaborating with engineering and product teams, and transforming customer insights into product improvements. Requires experience in customer-facing technical roles, AI/ML/GPU technologies, and infrastructure services like Kubernetes. | — | 5 |
| Senior Software Engineer - Together Cloud Platform Senior Backend Engineer role focused on building and scaling the AI Acceleration Cloud platform, which virtualizes ML hardware and provides self-serve AI cloud services for ML practitioners. Responsibilities include developing distributed GPU scheduling systems, global management planes, and customer-facing cloud platform services, ensuring high availability and performance. | — | 5 |
| AI infrastructure Engineer (SRE) Amsterdam AI infrastructure Engineer (SRE) responsible for keeping user-facing services and production systems running smoothly, specializing in systems, availability, reliability, and scalability. The role involves building and running infrastructure with Ansible, Terraform, and Kubernetes, implementing monitoring and observability, and debugging production issues. | — | 5 |
| Sr. Technical Program Manager (TPM) This role is for a Senior Technical Program Manager (TPM) at an AI infrastructure company. The TPM will focus on building, optimizing, and scaling global GPU resources, ensuring efficient and reliable operation of the AI model backbone. Responsibilities include product development for AI researchers and customers, owning the product roadmap, stakeholder engagement, and cross-functional execution across Research, Engineering, DevOps, SRE, and Go-to-Market teams. Requires 5+ years of experience in AI/ML product or infrastructure, with a technical background. | — | 5 |
| Strategic Finance Senior Manager Strategic Finance Senior Manager at Together AI, a research-driven AI infrastructure company. This role focuses on providing financial insights, driving strategic decision-making, and optimizing business performance, with a significant emphasis on guiding the optimization and scaling of the company's compute infrastructure. The position requires strong financial modeling, business judgment, and the ability to partner with various functions like Engineering, Product, and GTM. | — | 5 |
| Strategic Account Executive This role is for a Strategic Account Executive at Together AI, a company building an AI Native Cloud platform. The primary responsibility is to manage and close deals with high-priority AI-native and enterprise accounts, driving revenue and expanding customer adoption of Together's platform. The role involves owning the full sales cycle, partnering with technical teams (Solutions, Engineering, Research) to understand customer AI strategies and support production workloads, and running POC evaluations for inference and post-training engagements. The ideal candidate has extensive B2B technology sales experience, technical fluency in ML/infrastructure, and a proven track record of closing complex deals. | — | 5 |
| IT Engineer IT Engineer role focused on providing hands-on support for employees, managing IT infrastructure (identity, devices, SaaS), and supporting IT initiatives. Responsibilities include Help Desk, MDM support, network troubleshooting, Okta administration, asset management, documentation, security hygiene, onboarding/offboarding, and creating automations. Requires experience with Okta, Google Workspace, MDM, various OS, procurement, technical writing, and low-code automation tools. Familiarity with AWS provisioning and security frameworks is a plus. | — | 0 |
| Staff Platform Engineer, Service Infrastructure Staff Platform Engineer focused on service infrastructure strategy, including Kubernetes, AWS, Terraform, networking, and observability. The role involves improving reliability, operability, and production readiness of core platforms, and driving cross-company infrastructure initiatives. | — | 0 |
| Commercial Counsel-Infrastructure and GTM Commercial Counsel role focused on negotiating infrastructure and go-to-market agreements for an AI company. Responsibilities include leading negotiations for GPU/cloud capacity, data center space, and related services, as well as managing enterprise commercial agreements, partnership deals, and procurement transactions. Requires a JD, active bar license, and experience in commercial and technology transactions, with familiarity in data privacy and regulatory regimes. | — | 0 |
| Senior Network Engineer Senior Network Engineer responsible for designing, implementing, and maintaining network infrastructure for AI company's user-facing services and production systems. Focus on routing, switching, network security, and protocols, with an emphasis on automation and HPC data center networking. Experience with large-scale hybrid data center networks, TCP/IP, BGP, OSPF, VXLAN, EVPN, QoS, Python/Ansible automation, network troubleshooting tools, multi-tenant networks, and major network device vendors (Cisco, Arista, Juniper, Mellanox). Cloud network experience (AWS, GCP, Azure) and Linux environment proficiency are also required. Preferred knowledge includes RoCE, Infiniband, Docker, Kubernetes, Slurm, and understanding AI training workloads. | — | 0 |
| Head of Hyperscaler Partnerships This role is for a Head of Hyperscaler Partnerships at Together AI, a company building AI-native cloud infrastructure. The role focuses on leading complex partnership deals with hyperscalers, involving model licensing, software integrations, inference, and scaled cloud distribution. The individual will work at the intersection of commercial strategy, product, and finance, requiring deep experience in enterprise technology partnerships and hyperscaler operations. The position is principal-level and reports to the VP of Strategic Partnerships. | — | 0 |
| Software Engineer(Amsterdam) Software Engineer role focused on identity and collaboration features (authentication, organizations, API keys, access controls) for an AI company. The role involves full-stack development (TypeScript/Next.js, Elixir/Phoenix) and aims to grow into functional programming and the identity space. It is part of the Product Foundations engineering group and directly impacts customer interactions with Together's AI products. | — | 0 |
| Workplace Coordinator This role is for a Workplace Coordinator responsible for managing day-to-day office operations, employee support, facilities maintenance, and event planning in a fast-paced environment. The company is an AI research company, but the role itself is not AI-related. | — | 0 |
| Elixir Backend Engineer (Amsterdam) Senior Backend Engineer to join the CodeSandbox team, focusing on foundational authentication, authorization, and collaboration features. The role involves designing and implementing Elixir APIs and services, building SDKs, contributing to production BEAM environments, and working across services to improve integrations and replace legacy solutions. Experience with relational and non-relational databases is required, with a strong preference for functional programming languages like Elixir. | — | 0 |
| Data Center Operations Coordinator This role manages and tracks break/fix activities across multiple data center locations, acting as a central point of coordination for hardware incidents, vendor dispatches, ticket management, asset tracking, and operational reporting to ensure maximum uptime and fast issue resolution. Responsibilities include monitoring ticket queues, coordinating with on-site technicians and vendors, maintaining hardware records, escalating outages, scheduling maintenance, providing status reports, and identifying trends in hardware failures. | — | 0 |
| Infrastructure Vendor Ops Manager This role focuses on managing vendor operations for GPU infrastructure, including SLA tracking, credit recovery, invoice auditing, and financial accountability. It requires strong attention to detail, technical fluency to understand incident reports for credit claims, and negotiation skills with providers. The role also involves process development and financial forecasting for infrastructure budgets. | — | 0 |
| Infrastructure Design Engineer This role focuses on the physical infrastructure design of data centers that house AI GPU clusters. Responsibilities include designing whitespace layouts, power distribution, cooling, and structured cabling to support high-density AI hardware. The role requires expertise in data center design, critical facilities engineering, and collaboration with various engineering and operational teams. | — | 0 |
| Sr. Revenue Accountant This role is for a Sr. Revenue Accountant responsible for end-to-end accounts receivable, invoicing, collections, and revenue recognition in compliance with ASC 606. The candidate will partner with various teams to ensure accurate revenue recording and compliance with US GAAP. Responsibilities include journal entries, reconciliations, AR process ownership, billing dispute resolution, and process improvement. Requirements include a CPA, 5+ years of accounting experience with a focus on revenue accounting/AR/O2C, and strong technical knowledge of US GAAP. | — | 0 |
| Infrastructure Accounting Manager This role focuses on building and managing accounting processes for AI infrastructure assets, including fixed assets, CIP, and leases. It requires strong technical accounting expertise and collaboration with engineering and operations teams to ensure accurate financial reporting and compliance. | — | 0 |
| IT Engineer IT Engineer role focused on providing hands-on support for employees, managing IT infrastructure (identity, devices, SaaS), and contributing to IT initiatives and documentation. Requires experience with Okta, Google Workspace, and MDM for macOS/Linux. | — | 0 |
| Finance Analytics Engineer This role is for a Finance Analytics Engineer who will own the data layer for the Finance team, building models, pipelines, and reporting infrastructure. Responsibilities include owning the dbt transformation layer, orchestrating runs with Airflow, delivering dashboards, partnering with finance teams, setting data quality standards, and building a data foundation to support AI automation. Requires 5+ years of experience in analytics engineering or data engineering, with expertise in SQL, dbt, Snowflake, and Airflow, and strong dimensional modeling fundamentals. | — | 0 |
| Staff Backend Engineer - Commerce Staff Backend Engineer to own the technical vision, architecture, and execution of the commerce platform powering Together's Cloud products, including usage-based billing, payment processing, customer-facing analytics, and product entitlements. This role requires deep expertise in backend systems, distributed systems, and API design, with a focus on scalability, fault tolerance, and influencing cross-functional teams. | — | 0 |
| Director, Data Center Operations This role is for a Director of Data Center Operations at Together AI, focusing on building and scaling the physical infrastructure for AI workloads. The responsibilities include designing and commissioning data center white space, managing power and cooling systems, and building a break-fix team. It is a ground-floor, builder role with ownership over operational foundations. | — | 0 |
| Executive Assistant- Finance and Infrastructure Strategy Executive Assistant supporting Finance and Infrastructure Strategy leadership at an AI company. Responsibilities include managing schedules, travel, expenses, and contracts. Requires 4-6+ years of experience supporting senior leadership, strong organizational and problem-solving skills. | — | 0 |
| Analytics Engineer — Data Warehouse Staff Analytics Engineer role focused on building and maintaining the data warehouse transformation layer using dbt and Airflow. The role involves dimensional modeling, data quality, governance, and stakeholder management, with a focus on financial and billing data. The company is an AI infrastructure and platform company. | — | 0 |
| Director of Tax Seeking a Director of Tax to establish and scale the tax function from the ground up, defining global tax strategy and managing compliance across multiple jurisdictions for a high-growth AI infrastructure company. | — | 0 |
| Lead/Manager Site Reliability Engineering Team (Amsterdam) Lead a team of Site Reliability Engineers (SRE) responsible for keeping user-facing services and production systems running smoothly. The role involves managing, developing, and coaching the SRE team, building and running infrastructure using Ansible, Terraform, and Kubernetes, implementing monitoring systems, designing operational processes, debugging production issues, and planning infrastructure growth. The company is an AI research company, but this role is focused on the underlying infrastructure and operations, not direct AI/ML model development or research. | — | 0 |
| Staff Engineer, Product UI Platform Staff Engineer to own and evolve the Product UI Platform, the architectural foundation for full-stack features across the web surface. This role will drive the technical direction of the Next.js/typescript/nodejs web runtime, BFF layer, and application integration patterns, evolving the product runtime from a monolithic growth architecture to a scalable, modular, and high-leverage platform. | — | 0 |
| Data Warehouse Engineer Staff Data Warehouse Engineer responsible for designing, operating, and evolving a data warehouse stack (bronze/silver/gold), owning core data models and metrics, and establishing data quality and governance standards. The role involves building and maintaining data pipelines, designing analytics-ready models, leading Master Data Management patterns, implementing data quality checks, and building a business semantic layer. The engineer will use SQL, Python, and Spark, mentor junior engineers, and contribute to technical standards. | — | 0 |
| Senior Program Manager, Data Center Build This role manages the physical build-out and fit-out of data centers specifically designed to support high-density AI compute environments, including GPU clusters and potentially liquid cooling systems. The responsibilities involve overseeing construction projects from contract negotiation through commissioning, coordinating with various vendors and stakeholders, managing budgets and schedules, and ensuring compliance with safety and security standards. While the role is critical for enabling AI workloads, it focuses on the physical infrastructure rather than the AI models or software themselves. | — | 0 |
| Sales and Marketing Operations Manager This role is for a Sales and Marketing Operations Manager at Together AI, a research-driven AI company. The manager will optimize the lead-to-revenue funnel, develop reporting dashboards, analyze performance across the tech stack, manage attribution and ROI, assist with forecasting, oversee the tech stack (Salesforce, marketing automation, sales engagement tools), implement workflows for lead routing and scoring, ensure data integrity, and align Sales and Marketing strategies. Requirements include a Bachelor's degree, 5-7 years of experience in Sales/Marketing Ops or BI, expertise in marketing automation and CRMs, data visualization skills, strong analytical abilities, and advanced Excel skills (SQL, R, or Python are a plus). | — | 0 |
| Staff Engineer, API Core Platform Staff Engineer to found the API Platform team, focusing on building and scaling core systems and architecture for Together AI's mission-critical APIs. Responsibilities include improving the backend API layer, designing next-gen API platform solutions, and ensuring reliability, performance, and consistency across public and client APIs. The role requires deep hands-on experience with critical-path code and building platforms that unify engineering efforts. | — | 0 |
| Senior Network Engineer (Amsterdam) Senior Network Engineer responsible for designing, implementing, and maintaining network infrastructure for high-performance compute networks, with a focus on AI training workloads. Requires expertise in routing, switching, network security, automation, and specific hardware/protocols like RoCE or Infiniband. | — | 0 |
| Payroll Manager Seeking a Payroll Manager to lead and scale payroll operations, ensuring accurate, compliant, and timely processing for all employees. Responsibilities include managing full-cycle payroll, overseeing bi-weekly processing, reviewing payroll inputs, serving as a subject matter expert on regulations, managing visa-related payroll, and handling incentive/equity compensation. Requires 6+ years of hands-on payroll experience, strong knowledge of payroll regulations, and experience with complex multi-state payrolls and equity compensation. | — | 0 |
| Senior Technical Recruiter This role is for a Senior Technical Recruiter at Together AI, a company building an AI Acceleration Cloud. The recruiter will partner with engineering leaders to drive hiring for core engineering functions, manage the candidate journey, provide market intelligence, and design interview processes. The company focuses on the generative AI lifecycle, AI cloud infrastructure, and open-source AI research. | — | 0 |
| Director, Data Center Strategy and Site Selection This role is responsible for developing and executing the global data center strategy for an AI company, focusing on site selection, vendor relationships, and infrastructure planning. It requires technical understanding of data center fundamentals and strong commercial negotiation skills. | — | 0 |
| Senior Developer Productivity Engineer Senior Developer Productivity Engineer at Together AI, a research-driven AI company. Focuses on optimizing engineering workflows, CI/CD pipelines, and building shared tooling to accelerate software delivery. Requires strong experience in DevOps, CI/CD, and Python/Go/TypeScript. | — | 0 |
| Senior Data Engineer Senior Data Engineer to build and operate data infrastructure for billing, analytics, and BI tools. Requires expertise in stream processing, real-time analytics, and IaC. Role involves designing, building, and scaling data platforms in a fast-paced environment. | — | 0 |
| Senior Network Engineer Senior Network Engineer responsible for designing, implementing, and maintaining network infrastructure for AI company's user-facing services and production systems. Focus on routing, switching, network security, and protocols, with an emphasis on automation and HPC-based data center networking. Experience with large-scale hybrid data center networks, TCP/IP, BGP, OSPF, VXLAN, EVPN, QoS, and network automation tools (Python, Ansible). Proficient in network troubleshooting tools and Linux environments. Experience with cloud networks (AWS, GCP, Azure) and multi-vendor network devices (Cisco, Arista, Juniper, Mellanox). Preferred knowledge of RoCE, Infiniband, Docker, Kubernetes, Slurm, and AI training workloads. | — | 0 |
| Senior Product Engineer Senior Product Engineer to join the central Product Engineering team, focusing on the UI surface for Together AI's revenue-critical commerce flows, including enterprise spend controls, pricing, and payment management. The role requires strong frontend engineering experience with React and TypeScript, a focus on shipping production features efficiently, and translating complex business requirements into user-facing improvements. While the company is AI-focused, this specific role is product engineering for commerce features, not direct AI/ML model development. | — | 0 |