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Frequently asked questions

  • What AI roles is Together AI hiring for?

    Together AI currently has 24 active AI-related roles in our index. The most common open titles are: Solutions Architect (2), AI Infrastructure Engineer, AI Researcher, Core ML (Turbo), Backend Software Engineer — Data Platform & AI Data Products, Customer Support Engineer (Inference). Most positions are in Engineering and Research.

  • What stage of AI development does Together AI focus on?

    Together AI's active AI hiring is concentrated in: serving infrastructure (96%), post-training (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Together AI hiring AI talent?

    Together AI is hiring AI talent in: United States (19 roles), Netherlands (2 roles), United Kingdom (1 role).

  • What technologies does Together AI's AI team work with?

    Job postings at Together AI most frequently reference: inference infra, model serving, fine tuning, llm observability, audio speech.

  • How many AI roles has Together AI posted recently?

    In the past 30 days, Together AI has posted 6 new AI-related roles.

Together AI currently has 22 active AI-related job listings. The majority of these roles, 95%, are focused on serving infrastructure, with one role in post-training. The company is primarily hiring for Engineering positions, with 20 roles available, and is seeking candidates in the United States and the Netherlands. Frequent technical tags include model serving, inference infrastructure, and fine-tuning, suggesting a focus on deployment and optimization of AI models. In the last 30 days, Together AI added 5 new AI roles, a 150% increase from the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 20 active AI roles, with 14 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $160k–$300k (avg $226k).

Hiring
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Momentum (4w)
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14 opens last 4w · 14 prior 4w
Salary range · avg $226k
$160k–$300k
USD · disclosed roles only
Tracked since
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last role 2w ago
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2 new roles
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Jobs (70)

21 AI · 56 total active
Show
Active onlyAI only (≥ 7)
Stage
AllPost-train · 1Serve · 28
Function
AllEngineering · 57Product · 11Research · 2
Country
AllUnited States · 55Netherlands · 7United Kingdom · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
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.
—EngineeringAmsterdam, Netherlands6w ago0
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.
—EngineeringSan Francisco, CA8w ago0
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.
—EngineeringSan Francisco, CAApr 80
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.
—EngineeringSan Francisco, CAApr 80
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.
—ProductSan Francisco, CAApr 70
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.
—EngineeringSan Francisco, CAApr 70
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.
—ProductSan Francisco, CAApr 70
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.
—EngineeringEUROPEApr 10
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.
—EngineeringSan Francisco, CAMar 120
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.
—EngineeringSan Francisco, CAMar 120
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.
—EngineeringRemoteMar 100
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).
—ProductSan Francisco, CAMar 100
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.
—EngineeringSan Francisco, CAFeb 240
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.
—EngineeringAmsterdam, NetherlandsJan 200
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.
—ProductSan Francisco, CAJan 80
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.
—EngineeringSan Francisco, CAOct '250
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.
—EngineeringRemoteOct '250
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.
—EngineeringSan Francisco, CAJun '250
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.
—EngineeringSan Francisco, CAMay '250
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.
—EngineeringSan Francisco, CAJan '250
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