Go Jobs

Langfuse is seeking a Senior Cloud Infrastructure Engineer to ensure the reliability, performance, and cost-efficiency of their open-source LLM engineering platform. This role is crucial for maintaining Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, as well as supporting self-hosted deployments. The engineer will own the end-to-end observability stack, automate infrastructure processes, and scale the platform to meet growing demand. This is an opportunity to work closely with the ClickHouse team and directly impact a product used by major enterprises.

Black Forest Labs is seeking a Developer Experience Engineer to own the end-to-end developer experience for their generative AI platform, powering tools used by millions. This role is crucial for making the platform the choice for developers and agents alike, focusing on speed and ease of use from idea to production. You will identify and resolve friction points across the API, SDK, dashboard, and onboarding flows, working closely with product engineering, API/platform teams, research, and DevRel to ensure a seamless experience.

€140k - €190k

Replit

Replit is seeking a Japan Growth Lead to establish and scale the company's commercial presence in Japan. This high-impact role combines enterprise business development, channel sales, and market strategy, focusing on building partnerships with enterprise and government customers, activating reseller networks, and representing Replit at industry events. The ideal candidate possesses deep knowledge of Japan's business landscape, experience navigating enterprise and public-sector sales cycles, and the ability to build trust with diverse stakeholders.

Glean is seeking Backend/Infrastructure engineers to construct a high-performance, scalable, and secure system that ensures enterprise knowledge is readily accessible to employees in all work contexts. This role offers significant opportunities to contribute to building a modern cloud-native application stack, addressing challenges such as developing scalable distributed systems and storage, creating a unified framework for indexing diverse information sources, implementing end-to-end security measures, optimizing for instant user experience while managing system costs, and developing tooling for comprehensive monitoring and deployment across multiple cloud environments.

Scale AI

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

$216k - $270k

Scale AI

Scale's Physical AI business unit is focused on solving data bottlenecks in Robotics, Autonomous Vehicles, and Computer Vision. This role involves applied research and developing ML pipelines for processing, training, and fine-tuning data collected by Scale, with an emphasis on optimizing algorithms and pipelines for efficient GPU execution in the cloud. You will advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models tailored for physical agents, powering both internal research and external customer use cases.

$249k - $311k

Scale AI

Scale is seeking a product leader to build Agentic AI platforms for national-level decisions, including critical national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles, and deep experience with ML/AI application development. This role requires a strategic leader adept at navigating government GenAI projects, ensuring alignment with agency objectives and adhering to security and compliance mandates. The product manager will oversee the entire lifecycle of the generative AI platform, from design and execution to prioritization and stakeholder engagement, with a key focus on secure operation within controlled environments and support for government workflows, particularly national defense.

$213k - $297k

Scale AI

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.

$216k - $270k

Scale AI

Scale is seeking ML Research Engineers to join its Global Public Sector (GPS) division. This role focuses on bridging the gap between emerging AI capabilities and mission-critical, real-world impact by conducting applied research to solve unique sovereign AI challenges. You will move beyond off-the-shelf implementations to lead research in Agent Design, Reliability, and AI Safety, developing novel system architectures for high-stakes government applications and transforming research papers into production-ready systems.

Inworld is seeking a Founding AI Solutions Engineer to bridge the gap between sales, product, and engineering. This role is crucial for the revenue team, working directly with senior leadership and the Go-To-Market (GTM) team to guide enterprise and developer customers from initial interest to production deployment. You will be responsible for running Proofs of Concept (POCs), building prototypes, and translating complex technical concepts into clear explanations for diverse audiences. This position offers a unique opportunity to shape Inworld's scaling across various industries and define the Solutions Engineering function as an early hire.

$170k - $250k

OpenAI

This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team.

Clay is seeking a GTM Ops Manager to lead Sales Compensation within our Opportunity-to-Order process. We are building AI into the foundation of our revenue stack, not just as a layer on top. In this role, you will be responsible for architecting the systems and the AI agents that manage them, ensuring a seamless and efficient process from deal closure to representative payment.

This role focuses on working directly with companies building and running AI agents in production, helping to transform ideas and prototypes into reliable systems. It's a hands-on, technical position that partners with customer engineers throughout the entire lifecycle, from pre-sales evaluations to post-deployment advisory. The core objective is to achieve technical success, co-design agent architectures, and assist customers in operating agents reliably at scale using the LangChain suite. This position sits at the intersection of engineering, product, and go-to-market, influencing LangChain's adoption and providing valuable field insights back into the platform.

$165k - $315k

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. We partner with leading enterprises and public institutions, backed by prominent venture capital firms. Our model APIs, handling millions of daily calls, are crucial for developers and enterprises shipping products on our foundation models. Currently built with FastAPI and Python, we are undertaking a significant rewrite in Go. We are seeking a Staff Engineer to take end-to-end ownership of this critical platform, encompassing its architecture, reliability, performance, and standards.

Glean is a Work AI platform that empowers everyone to work smarter with AI. Our platform has evolved from an advanced enterprise search tool into a comprehensive Work AI ecosystem, featuring intelligent Search, an AI Assistant, and scalable AI agents. We offer over 100 enterprise SaaS connectors, flexible LLM choices, and robust APIs, providing the infrastructure for organizations to govern, scale, and customize AI securely and without vendor lock-in. Glean redefines how enterprises find, use, and act on knowledge by mapping relationships between people, content, and activity to deliver personalized, context-aware responses. Our AI agents automate real work across teams by accessing a broad range of enterprise and external data, leading to measurable business impact such as faster onboarding and increased productivity.

$140k - $200k

Glean is a Work AI platform that empowers everyone to work smarter with AI. Our platform has evolved from an advanced enterprise search tool into a comprehensive Work AI ecosystem, featuring intelligent Search, an AI Assistant, and scalable AI agents. We offer over 100 enterprise SaaS connectors, flexible LLM choices, and robust APIs, providing the infrastructure for organizations to govern, scale, and customize AI securely and without vendor lock-in. Glean redefines how enterprises find, use, and act on knowledge by mapping relationships between people, content, and activity to deliver personalized, context-aware responses. Our AI agents automate real work across teams by accessing a broad range of enterprise and external data, leading to measurable business impact such as faster onboarding and increased productivity.

$140k - $200k

Glean is a Work AI platform that empowers everyone to work smarter with AI. Our platform has evolved from an advanced enterprise search tool into a comprehensive Work AI ecosystem, featuring intelligent Search, an AI Assistant, and scalable AI agents. We offer over 100 enterprise SaaS connectors, flexible LLM choices, and robust APIs, providing the infrastructure for organizations to govern, scale, and customize AI securely and without vendor lock-in. Glean redefines how enterprises find, use, and act on knowledge by mapping relationships between people, content, and activity to deliver personalized, context-aware responses. Our AI agents automate real work across teams by accessing a broad range of enterprise and external data, leading to measurable business impact such as faster onboarding and increased productivity.

$140k - $200k

Glean is seeking an AI Success Manager (AISM) to serve as the primary post-sales point of contact, ensuring platform health and driving customer success. This hands-on role involves leading and orchestrating successful implementations and long-term customer engagements. You will be responsible for efficient technical deployment, providing proactive strategic guidance, and building and executing joint success plans and Executive Business Reviews (EBRs). AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D teams.

$140k - $200k

Glean is seeking an AI Success Manager (AISM) to serve as the primary post-sales point of contact, ensuring platform health and orchestrating successful customer implementations and long-term engagements. This hands-on role involves leading technical deployments, providing strategic guidance, and developing joint success plans to make customers highly successful. The AISM will collaborate with Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D teams to drive customer adoption and achieve measurable business value through the use of AI.

$120k - $170k

Glean is seeking an AI Success Manager (AISM) to serve as the primary post-sales point of contact, ensuring platform health and orchestrating successful customer implementations and long-term engagements. This hands-on role involves leading technical deployments, providing strategic guidance, and developing joint success plans to make customers wildly successful. The AISM will collaborate with various internal teams, including Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D, to deliver measurable business value and drive AI adoption.

$120k - $170k