GCP Jobs

Glean is seeking an AI Success Manager (AISM) for US West hours to lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements.

Glean is seeking an AI Success Manager (AISM) for US East hours to lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements.

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI model lifecycle, combining a fast LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform. This platform is designed to be highly available, global, and extremely fast, virtualizing cutting-edge ML hardware and enabling practitioners with self-serve AI cloud services. It serves both internal StaaS products and external cloud customers across numerous data centers worldwide.

$160k - $230k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both our internal SaaS products and our external cloud customers, spanning dozens of data centers across the world.

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both our internal SaaS products and our external cloud customers, spanning dozens of data centers across the world.

$160k - $230k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Abridge

Abridge is seeking Engineers to join a new, high-priority agentic engineering team focused on building the foundational infrastructure and internal systems that power software development at the company. This role operates at the intersection of AI tooling, CI/CD, and developer experience, tackling complex problems related to CI/CD pipelines, MCP servers, and AI agents. The work will directly influence how engineers build and deploy software across Abridge, shaping the future of developer productivity and operational efficiency within a rapidly evolving landscape.

Fireworks is seeking an AI Field Engineer to join their team. This role is crucial for embedding with ambitious customers and technology partners to rapidly transform complex AI challenges into production systems. You will operate at the intersection of engineering, product, and customer delivery, taking a hands-on approach to building Proofs of Concept (POCs), Minimum Viable Products (MVPs), and production integrations. Simultaneously, you will engage in executive-level discussions regarding architecture, strategy, and business outcomes. The position involves significant coding, running benchmarks, debugging production issues, and architecting deployments, alongside leading discovery conversations, aligning stakeholders, and translating customer needs into product improvements. This role requires comfort working on-site with customers to build relationships and trust in person.

Scale AI

Scale AI is seeking a Frontier Agents Engineer to act as a technical bridge between our AI capabilities and strategic customers. This hands-on role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment of AI systems in production. You will work directly with customer engineering teams to integrate AI into their critical workflows, combining deep engineering expertise with customer-facing problem-solving.

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to join their Enterprise team. This role serves as a technical liaison, connecting Scale AI's advanced AI capabilities with key enterprise clients. You will collaborate with customers to understand their specific needs, design tailored AI solutions, and ensure the successful implementation and adoption of AI systems in production environments. This is a hands-on position requiring a blend of deep engineering expertise and customer-focused problem-solving, involving direct work with client engineering teams to integrate AI into their core operations.

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to act as a technical bridge between Scale AI's AI capabilities and strategic customers. This role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment in production environments. It's a hands-on technical position combining deep engineering expertise with customer-facing problem-solving, requiring direct collaboration with customer engineering teams to integrate AI into critical workflows.

Scale AI

As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows, understanding their unique challenges, architecting custom AI solutions, and ensuring successful deployment and adoption of AI systems in production environments.

Mistral AI

Mistral AI is seeking its first Technical Support Engineer in the APAC region to establish and lead the technical support presence. This is a critical role for a highly technical individual capable of independently resolving complex, escalated issues and serving as the primary technical resource for the company's fastest-growing market. The foundational hire will own end-to-end technical support for enterprise and strategic customers, debug advanced issues related to APIs, model behavior, latency, fine-tuning, and infrastructure, and bridge communication between customers, engineering, and product teams. This role requires shaping support processes for APAC's unique needs, reporting to the Lead Customer Support, and demonstrating autonomy, technical depth, and a proactive approach in a high-volume, high-stakes environment.

Abridge

Abridge is seeking a highly experienced and motivated Staff Application Security Engineer to join their growing team. This role is a key technical leadership position focused on building security from the ground up at the forefront of AI in healthcare. You will shape product, infrastructure, and engineering practices by impacting the vision and execution of the secure software development lifecycle across the entire product portfolio. This involves working cross-functionally to integrate security seamlessly, automate security capabilities, and mentor others in building secure-by-default systems at scale in the age of AI. The ideal candidate possesses deep technical expertise, a builder's mindset, and excellent communication skills to influence security culture.

Databricks

We are seeking an AI Infrastructure Engineer to own the infrastructure that powers our ML and LLM training pipelines. This is a fully remote position.

$170k - $240k

Skild AI is seeking a Software Engineer to develop and optimize the software infrastructure and tools for training cutting-edge AI models. This role involves building scalable and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to integrate new algorithms and techniques, pushing the boundaries of AI in real-world robotics. The position also focuses on exploring efficient data utilization within training pipelines.

Fireworks is seeking an AI Field Engineer to join their team. This role is at the forefront of technical engagement, embedding with ambitious customers and technology partners to rapidly transform complex AI challenges into production systems. You will operate at the intersection of engineering, product, and customer delivery, taking a hands-on approach to building Proofs of Concept (POCs), Minimum Viable Products (MVPs), and production integrations. Simultaneously, you will engage in executive-level discussions on architecture, strategy, and business outcomes. The position requires a significant amount of hands-on work, including shipping code, running benchmarks, debugging production issues, and architecting deployments, alongside leading discovery conversations, aligning stakeholders, and translating customer needs into product improvements.

Scale AI

Scale's International Public Sector team is focused on using AI to address critical challenges facing the public sector globally. As a Full Stack Software Engineer (Forward Deployed), you will collaborate directly with public sector counterparts to quickly build full-stack AI applications that solve their most pressing challenges and impact millions of citizens. You will be a key technical strategist, architecting robust AI applications, guiding cloud infrastructure evolution, and directing the development of core platforms. This role involves mentoring staff and bridging the gap between real-world client needs and the core platform by translating lessons learned into reusable patterns.

Synthesia, a leader in AI video for business, is seeking an Engineering Manager to lead its growing Application Security (AppSec) team. This role is crucial for securing the company's engineering and research organization as it scales, with a focus on building AI-native security tooling and embedding security throughout the development lifecycle. The ideal candidate will be a technically adept leader who can earn the trust of senior engineers, engage deeply in areas like threat modeling and agentic security tooling, and own the AppSec strategy. This position requires a hands-on approach to enable the team's success and foster a secure development environment within a rapidly growing AI-focused company.

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.