Azure Jobs

Harvey

Harvey is seeking a Production Engineer to help build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. The ideal candidate will have a systems-thinking mindset and a passion for building simple, reliable, and scalable systems.

$161k - $242k

Harvey

Harvey is seeking a Production Engineer to build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth.

$231k - $340k

Harvey

Harvey is seeking a Production Engineer to build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth.

$231k - $340k

Harvey

Harvey is seeking a Production Engineer to help build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. The ideal candidate will have a systems-thinking mindset and a passion for building simple, reliable, and scalable systems.

$161k - $242k

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

Fal

fal is building the generative media ecosystem for the next generation of AI products, providing the infrastructure, tools, and model access needed to scale from idea to production. The company offers a unified platform for high-performance inference, orchestration, and observability, enabling new categories of AI-native products. As generative media reshapes industries, fal is becoming the foundation for ambitious teams. fal – Features & Labels, Inc. is seeking a Senior Solutions Architect to join their San Francisco, CA office. This role involves engaging with clients to understand their technical needs, recommending appropriate models and services, and preparing technical presentations. The architect will collaborate with internal teams to tailor solutions, gather client insights for product development, and act as a lead technical advisor for enterprise customers and AI model providers, translating business requirements into scalable solution architectures on the fal.ai platform. A significant aspect of the role includes cultivating relationships with Chinese AI model providers and technology companies, acting as the primary technical contact and representing fal.ai at industry events, including those in Greater China.

$25k - $35k

Anthropic

Anthropic is seeking a Partner Enablement leader to develop and manage programs that empower our cloud partner ecosystem, including AWS, Google Cloud, and Microsoft Azure. This role is crucial for ensuring that partner sales and technical teams are equipped to identify, qualify, and successfully close opportunities involving Anthropic's AI products. You will be responsible for building the end-to-end enablement infrastructure, encompassing onboarding, launch readiness, sales and technical training, certification, co-sell playbooks, and performance metrics. Additionally, you will ensure Anthropic's internal go-to-market teams understand our cloud partnerships, co-sell mechanics, and offering nuances to effectively collaborate with hyperscalers. This is a foundational role where you will design the operating model while executing against a rapid launch schedule, collaborating closely with Partnerships, Applied AI, Product Marketing, Sales, and partner organizations.

Anthropic

Anthropic is seeking an AWS Partnerships Lead to spearhead and expand our AWS co-sell strategy throughout Southern Europe. This is a unique opportunity to establish the commercial collaboration model between Anthropic and AWS in the region from the ground up. You will represent Anthropic to AWS sales teams in Southern Europe, develop joint opportunity pipelines, lead co-selling efforts with enterprise clients, and shape how cutting-edge AI technology reaches the market through one of our most strategic partnerships. This role is ideal for someone who thrives in ambiguity, possesses a strong background in cloud partnerships, and is eager to contribute to the safe and responsible commercialization of advanced AI.

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As the Engineering Manager for Model Infrastructure, you will lead the team responsible for the platform powering every model request across Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to ensure reliability, scalability, and cost-efficiency. This is a strategic engineering organization, critical for every product capability, and will evolve to build the infrastructure for Harvey to train, evaluate, deploy, and operate its own frontier AI models.

$260k - $340k

Cohere

Cohere is seeking an experienced Program Manager to join our customer-facing Program Management team, focusing on UK public sector and defence accounts. This role requires a deep understanding of technical program delivery, the complexities of frontier AI models, and the unique needs of government and defence organizations. You will act as the crucial link between Cohere's advanced AI capabilities and the specific requirements of UK Government and defence clients, navigating intricate procurement processes, stringent security demands, data sovereignty concerns, and regulatory compliance to ensure successful deployment and scaling of our AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.

$12k - $18k

Cohere

Cohere is seeking an experienced Program Manager to join its customer-facing Program Management team, focusing on public sector and defense accounts in Europe, particularly in France. This specialized role requires an individual who understands technical program delivery, the complexity of frontier AI models, and the unique requirements of government and defense organizations. You will act as the critical bridge between Cohere's AI capabilities and the needs of Ministries, Agencies, and defense organizations across Europe, navigating complex procurement processes, security requirements, data sovereignty, and regulatory compliance to ensure successful deployment and scaling of AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for sensitive government and defense engagements.

Anthropic

Anthropic is seeking an experienced software engineer to build the platform for governance, risk, and compliance (GRC). This role involves consolidating compliance information from various systems into a unified platform. You will develop pipelines, integrations, and services to automate checks, create real-time dashboards, and generate evidence for decision-making and market expansion. As an early team member, you will collaborate with stakeholders across multiple departments to transform manual compliance processes into scalable, reliable systems. You will lead projects end-to-end and leverage Claude through agentic workflows for tasks like evidence collection and monitoring. Experience building internal platforms, data pipelines, or privacy systems is beneficial, and a compliance background is not required.

Anthropic

We are seeking an Engineering Manager, GRC to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them. At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As the Manager of the Partnerships Applied AI Solutions Architect team, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products through system integrators, cloud partners, and strategic technology partners. You will build and lead a team of Partner Solutions Architects, establish processes for partner-led pre-sales engagements, and represent Anthropic as the technical lead on key partnerships. Collaborating with Sales, Partnerships, Product, and Engineering, you will help partners integrate AI, accelerate revenue, and execute go-to-market strategies while upholding safety standards.

Anthropic

Anthropic's Infrastructure organization is the engine that powers our mission, building and operating massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms. As a Technical Program Manager for Infrastructure, you will coordinate complex programs with broad organizational impact, solving novel scaling challenges while maintaining security and reliability. This role is ideal for someone who thrives in ambiguity, makes others more effective, and partners closely with engineering leadership to drive strategic initiatives and ensure seamless coordination between research, engineering, and product teams.

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across AWS, GCP, Azure, and other cloud service providers. This role involves owning the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and daily operations. Engineers on this team have a high leverage impact, driving multiple revenue streams while optimizing compute resources. The complexity of managing inference efficiently across diverse providers with different hardware, networking, and operational models is growing significantly. We are seeking product-minded backend engineers who can navigate these platform differences, design cross-provider services and abstractions, and make architectural decisions to ensure reliability and cost-effectiveness at massive scale. Your work will directly contribute to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.