Program Manager, Finance Systems - Quote-to-Cash

Join the Anthropic Fellows Program where you will delve into the exciting world of Machine Learning Systems & Performance. This unique opportunity allows you to work alongside some of the brightest minds in AI research and development, tackling complex challenges and contributing to groundbreaking projects that aim to enhance the capabilities of machine learning systems.

Join the prestigious Anthropic Fellows Program, where you'll have the opportunity to delve into cutting-edge research in Reinforcement Learning. This program is designed for individuals passionate about advancing AI safety and developing innovative solutions. As a fellow, you will collaborate with a team of experts, engage in impactful projects, and contribute to a progressive research environment.

The Anthropic Fellows Program in Economics connects researchers and practitioners interested in the economic dimensions of artificial intelligence. Fellows join a community focused on understanding how economic systems interact with new technologies. Program structure Fellows collaborate with established experts and peers, taking part in research that examines the relationship between economic principles and AI development. The program values innovative approaches and practical solutions to real-world economic questions. Research focus Participants investigate how advances in AI influence economic systems, and how economic thinking can inform the development and deployment of AI technologies. The environment supports original research and encourages practical problem-solving. Locations London, UK Ontario, Canada Remote-friendly, United States San Francisco, CA

Join the prestigious Anthropic Fellows Program, focused on advancing AI Safety. As a Fellow, you will collaborate with distinguished researchers and contribute to groundbreaking projects that prioritize the ethical development and deployment of artificial intelligence.

Join the innovative team at Anthropic as a Research Engineer specializing in Performance Reinforcement Learning. In this role, you will contribute to cutting-edge research that directly influences the development of advanced AI systems. Collaborate with a talented group of engineers and researchers, leveraging your expertise to enhance our algorithms and improve overall performance.

Anthropic is looking for a Research Engineer with a focus on Machine Learning, particularly Reinforcement Learning (RL) Velocity. This position involves collaborating with a team to design, build, and refine machine learning systems. Much of the work centers on experimenting with new ideas and advancing AI research. What you will do Work alongside researchers and engineers to develop and optimize machine learning models Explore new methods in reinforcement learning to accelerate progress Contribute to projects that push the boundaries of AI capabilities Location and travel This role offers flexibility to work remotely, with some required travel. Anthropic maintains offices in San Francisco, CA and New York City, NY.

Join Anthropic as a Machine Learning Systems Engineer within our Encodings and Tokenization team, where you'll play a pivotal role in refining and optimizing our tokenization systems across Pretraining and Finetuning workflows. By bridging the gap between our Pretraining and Finetuning teams, you will help shape the essential infrastructure that enhances how our AI models learn from diverse data. Your contributions will be crucial in ensuring our AI systems remain reliable, interpretable, and steerable, driving forward our mission of developing beneficial AI technologies.

About AnthropicAt Anthropic, our mission is to develop reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society at large. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders collaborating to create impactful AI solutions.About the RoleAs a Product Manager specializing in Monetization, you will spearhead revenue growth across our diverse product suite, including Claude.ai, Claude Code, Claude Cowork, and Claude Platform. You will work closely with various growth teams concentrated on expanding our reach to specific audiences. Additionally, you will collaborate with a cross-functional team comprising engineers, designers, marketers, and data scientists to devise and implement strategies that enhance growth while upholding our commitment to safety and beneficial AI.

Join Sesame as a Technical Program Manager specializing in Machine Learning, where you will lead cross-functional teams to innovate and implement cutting-edge ML solutions. You will be at the forefront of driving initiatives that enhance our technology capabilities and improve user experiences.

Join Anthropic as an Engineering Manager in the Inference Routing and Performance division. In this pivotal role, you will lead a team of talented engineers to enhance the efficiency and effectiveness of our inference systems. Your leadership will drive innovations in routing algorithms and performance optimization, ensuring our cutting-edge AI models deliver exceptional results. You will collaborate closely with cross-functional teams to align technical strategies with business objectives, fostering an environment of creativity and growth.

About AnthropicAt Anthropic, we are dedicated to developing safe, interpretable, and controllable AI systems. Our mission is to ensure that artificial intelligence serves the needs of our users and benefits society as a whole. Our rapidly expanding team comprises passionate researchers, engineers, policy experts, and business leaders collaborating to create AI solutions that are advantageous for everyone.About the Role:As a key member of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Specialist will spearhead the validation, standardization, and implementation of physical security technologies across our swiftly growing global office network. This role serves as a crucial link between selecting technologies and ensuring they are ready for operational deployment — guaranteeing that every security system is thoroughly tested, seamlessly integrated into our enterprise infrastructure, meticulously documented, and scalable for future growth.You will establish installation standards, configuration baselines, and deployment protocols that our wider team will follow — from access control migrations and intercom replacements to onboarding AI analytics and integrating new applications. Collaborating across InfoSec, IT, Networking, and Identity Management, you will ensure that each security application meets compliance standards, integrates with SSO, and is fully supported within Anthropic’s infrastructure prior to going live. Your contributions will be pivotal in ensuring that Anthropic’s security technology framework scales effectively as we grow from multiple locations to a global enterprise.

About KreaKrea is at the forefront of developing advanced AI creative tools designed to enhance and empower human creativity. Our mission is to create intuitive and controllable AI solutions that allow creatives to express themselves across various formats including text, images, video, sound, and 3D.About the PositionWe are seeking a talented Machine Learning Engineer to lead the design and implementation of Krea’s personalization and recommendation systems from the ground up. You will take full ownership of how we comprehend user preferences, curate engaging content, and customize generative models to reflect individual aesthetics.This role sits at the exciting intersection of recommendation systems, representation learning, and generative imaging and video technologies.Your ResponsibilitiesLead the architecture and development of Krea’s personalization and recommendation framework, overseeing the technical direction from inception to deployment.Craft algorithms that effectively model user preferences and tastes, enabling our systems to adapt to individual styles and aesthetics.Develop high-quality, curated feeds that strike a balance between exploration, personalization, and aesthetic coherence.Collaborate closely with our model and research teams to co-create personalization mechanisms that shape how our generative models learn, adapt, and express creative styles.Contribute to research in personalized image generation, with a focus on style, taste, and subjective quality.Work in tandem with product, design, and research teams to define what “good personalization” means in a creative context.Take systems from initial research and prototyping stages through to production, ongoing iteration, and enhancement.

Join fal in our pursuit to maintain a leading edge in model performance for generative media models. You'll be instrumental in designing and implementing innovative solutions for model serving architecture, built on our proprietary inference engine. Your focus will be on maximizing throughput while minimizing latency and resource consumption. In addition, you will create performance monitoring and profiling tools to identify bottlenecks and optimization opportunities. Collaborate closely with our Applied ML team and clients in the media sector to ensure their workloads leverage our accelerator effectively.

Role Overview Anthropic is hiring a Head of Customer Programs to guide key initiatives that improve customer experience and strengthen long-term relationships. This role shapes programs that reflect Anthropic’s mission and values, ensuring customers consistently receive high-quality service and support. What You Will Do Design and lead customer programs that promote engagement and satisfaction Work with teams across the company to incorporate customer feedback into products and services Champion continuous improvement in customer support and experience Location This position is based in San Francisco, CA or New York City, NY.

Join Scale AI's ML platform team (RLXF) as a Machine Learning Research Engineer, where you will play a pivotal role in developing our advanced distributed framework for training and inference of large language models. This platform is vital for enabling machine learning engineers, researchers, data scientists, and operators to conduct rapid and automated training, as well as evaluation of LLMs and data quality.At Scale, we occupy a unique position in the AI landscape, serving as an essential provider of training and evaluation data along with comprehensive solutions for the entire ML lifecycle. You will collaborate closely with Scale's ML teams and researchers to enhance the foundational platform that underpins our ML research and development initiatives. Your contributions will be crucial in optimizing the platform to support the next generation of LLM training, inference, and data curation.If you are passionate about driving the future of AI through groundbreaking innovations, we want to hear from you!

About Fellow At Fellow, our mission is to empower coffee lovers to brew exceptional coffee at home. We're not just about aesthetically pleasing kettles and grinders; we're a brand that embodies innovation, community, and the culture surrounding coffee. We believe that great coffee goes beyond the final cup; it’s about the entire experience, the ritual of brewing, and the connections made along the way. We are seeking a talented Visual Designer to craft brand-forward, performance-driven creative assets across various channels including paid media, web, email, and marketplaces. Your work will play a crucial role in how Fellow presents itself and engages with customers at every touchpoint. This position is based in our San Francisco, CA office and requires regular in-office attendance as per company policy.

About AnthropicAt Anthropic, our mission is to develop AI systems that are not only reliable and interpretable but also steerable, ensuring they are safe and beneficial for users and society. We are a dynamic team of dedicated researchers, engineers, policy experts, and business leaders, all collaborating to create impactful AI solutions.About the RoleAs we build our Treasury function, we are focused on scalability and automation from the outset. Our goal is to establish modern and well-controlled processes that can grow alongside the business, backed by robust systems, clear governance, and the strategic use of AI tools. We are committed to designing touchless, AI-native workflows from day one with SOX-grade controls integrated into our processes.This position reports directly to the Treasury Ops Lead and is pivotal in shaping and managing the foundation of our Treasury Operations. You will oversee critical tasks such as daily cash positioning, global bank account management, intercompany funding, payment controls, and Treasury reporting, while refining these processes to ensure they scale efficiently as we expand.This hands-on role is ideal for someone who thrives in both execution and process development. You should be adept at managing essential daily operations while pinpointing improvement, automation, and control enhancement opportunities.You will be the second member of a rapidly growing Treasury Operations team at a company that is deliberately scaling. The processes you establish in your first six months will serve as the backbone for our operations at a tenfold scale. You will have end-to-end ownership, utilizing a tailored toolkit to design Treasury workflows that are seamlessly integrated with AI from inception, embodying the unique approach that only Anthropic can offer.

About UsAt Applied Compute, we specialize in creating Specific Intelligence solutions for enterprises, developing agents that learn continuously from an organization’s processes, data, expertise, and objectives. We recognize a significant gap between the capabilities of AI models in isolation and their practical applications in real-world business contexts. Our systems often fall short because they lack adaptability to feedback. To address this, we are building a continual learning infrastructure that captures context, memory, and decision-making processes throughout the enterprise, enabling specialized agents to effectively execute real tasks.What Excites Us: We operate at a unique intersection where our product team constructs the platform that fuels a new generation of digital coworkers. Our research team pushes the boundaries of post-training and reinforcement learning, creating innovative product experiences. Our applied research engineers collaborate closely with clients to deploy models into production. This blend of strong product focus, deep research, and hands-on customer engagement is crucial for integrating AI into the enterprise. We are product-driven, research-informed, and actively engaged with our clients.Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have built RL infrastructure at leading organizations like OpenAI and Scale AI, and developed systems at Together, Two Sigma, and Watershed. We proudly serve Fortune 50 clients alongside companies like DoorDash, Mercor, and Cognition. Our work is supported by renowned investors, including Benchmark, Sequoia, and Lux.Who Thrives in Our Environment: We seek individuals eager to apply cutting-edge research and complex systems to tackle real-world challenges. You should be adept at quickly adapting to new environments, whether it’s a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment of customer interactions—listening, empathizing, and understanding how tasks are accomplished within their organizations—is essential. Those with entrepreneurial backgrounds, extensive side projects, or demonstrated end-to-end ownership typically excel in our company.

Join Fellow as a Firmware EngineerAt Fellow, our mission is to empower coffee enthusiasts to brew exceptional coffee at home. We go beyond offering beautifully designed kettles and grinders; we are a brand immersed in innovation, community, and culture. We believe that great coffee is about the entire experience—the ritual and the connections made along the way.We are seeking a Firmware Engineer to lead the design, development, and maintenance of robust and scalable user interface (UI) and communication firmware for our Internet of Things (IoT) platform. This position is based in our San Francisco office, where you will collaborate with a talented team while being in-office four days a week.