About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Overview We are seeking a Senior Sales Engineer who can bridge deep product knowledge with clear business outcomes for Visa’s Value-Added Services (VAS) across Europe. In this role, you will help banks, issuers, and fintech's understand how Visa’s Pismo platform fit into their architecture, design solutions that win enterprise trust, and collaborate closely with Sales, Product, and Engineering to accelerate adoption of AI‑native, cloud‑native issuing and digital solutions. As part of Visa, Pismo is redefining the future of issuing and core payments. Pismo’s technology enables financial institutions to move beyond legacy constraints and deliver modern digital experiences at scale. Moreover, it plays a critical role in the broader ecosystem—its cloud‑native, real‑time issuing and core processing platform serves as a backbone and enabler for numerous Visa Value‑Added Services. A key part of the role will be solutioning complex, multi‑product deals that combine Pismo with other Visa services, delivering unified architectures that maximize client value. You will guide clients through these combined solution designs, shaping end‑to‑end modernization programs that are scalable, secure, and implementation‑ready. This role requires both strategic leadership and hands‑on engagement, driving architectural clarity, influencing senior stakeholders, and helping major European institutions transform their technology landscapes. Key responsibilities - Drive the Pismo technical sales strategy across Europe, guiding discovery, solution design, and evaluation cycles with major issuers and fintechs. - Solution complex, multi‑product deals, combining Pismo with other Visa Value‑Added Services to deliver cohesive, end‑to‑end client architectures. - Own strategic technical engagements end‑to‑end, influencing client decision‑making and ensuring solution designs are implementation‑ready and aligned with Visa’s delivery capabilities. - Act as the senior technical advisor, shaping client strategy and steering complex solution decisions that drive innovation beyond traditional payments. - Translate diverse client needs into compelling architectures that are scalable, secure, and feasible within real-world, regulated environments. - Influence and orchestrate cross‑functional teams (Sales, Product, Engineering, Delivery) to align roadmaps, resolve obstacles, and accelerate client value. - Serve as the senior technical voice in high‑stakes, strategic deals, building executive‑level confidence through clarity, authority, and expertise. - Drive technical enablement by developing and maintaining clear frameworks, materials, and best‑practice architectures. - Identify emerging client needs and market opportunities, shaping Visa’s VAS and Pismo strategy, and helping institutions modernize their platforms at scale. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Basic Qualifications: 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications: 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), or 2 years of work experience with a PhD, or 11+ years of relevant work experience. Experience in solutions architecture or technical sales engineering, ideally in payments, fintech, or high‑growth technology environments. Strong understanding of technical architectures, APIs, data flows, integrations, and cloud infrastructure. Consultative selling mindset: able to map Visa’s product capabilities to client pain points, regulatory needs, and measurable ROI. Skilled at simplifying complex technical concepts for both engineering teams and executive stakeholders. Builder mentality: creating reusable frameworks, demos, POCs, and scalable pre‑sales assets. Strong cross‑functional partner to Sales, Product, Engineering, and Delivery, maintaining tight feedback loops. Bonus: experience with AI platforms, developer tools, or enterprise integration patterns. Full fluency in an European Language and English Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

About the Role We are looking for a Software Engineering Intern who will be instrumental in bringing open-source bio models onto our internal platform. You will work on the infrastructure layer that supports large-scale inference and fine-tuning pipelines, helping integrate AI models into cutting-edge biological applications. Key Responsibilities - Model Integration: Take open-source biological ML models (protein language models, DNA/RNA transformers, etc.) and implement them on our GPU-based infrastructure for real-time inference. - Infrastructure & Deployment: Containerize models in Docker and contribute to deployment workflows, ensuring high availability and efficient resource utilization. - Collaboration & Documentation: Collaborate with AI researchers, software engineers, and external partners to create clear, user-friendly documentation. This includes best practices around model usage and guidance for researchers on how to integrate models into their workflows. - Scientific Context & Model Usability: Conduct literature reviews and incorporate domain-specific knowledge to optimize models for biological applications. Help develop APIs and documentation that empower scientists to leverage these models effectively in real-world biotech scenarios. - Performance Optimization: Investigate bottlenecks and improve runtime performance of the model pipelines—e.g., distributed training, fast data loading, GPU utilization. Preferred Qualifications - Programming Skills: Proficiency in Python. Experience with one or more ML frameworks (e.g., PyTorch, TensorFlow) is highly preferred. - Software Engineering Foundations: Familiarity with version control (Git), code reviews, and a solid understanding of data structures and algorithms. - Cloud & Containerization: Some exposure to AWS, GCP, or Azure. Experience with Docker/Kubernetes for container orchestration is a plus. - Data Processing: Understanding of distributed data frameworks (e.g., Spark, Dask) and Python data libraries (Pandas, NumPy). - Biology & AI Enthusiasm: Some familiarity with life sciences (proteins, genomics, etc.) is a strong plus, and a genuine curiosity for how AI can drive biotech innovation is strongly encouraged. - Team Player & Fast Learner: Comfort working in a dynamic startup environment, with the ability to pick up new concepts quickly and communicate effectively across multidisciplinary teams. What You'll Gain - Hands-On Experience: Work on real-world AI infrastructure projects that directly impact cutting-edge biotech research. - Mentorship: Learn from a founding team with deep industry experience in both AI/ML and biotechnology. - Ownership: Interns at BioLM.ai have the opportunity to own significant portions of our codebase and make meaningful contributions. - Exposure to Biotech & ML Research: Gain insight into how advanced AI is used to solve high-impact biological problems, from drug discovery to protein engineering. If you're excited about the intersection of AI and biology, and you want to help build infrastructure that will power the next wave of biotech breakthroughs, we'd love to hear from you!

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A peek at our technical stack Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. What you’ll do - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals What you’ll need - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About Kintsugi AI Kintsugi AI is revolutionizing sales tax automation with our AI-powered platform designed specifically for e-commerce and SaaS businesses. Our solution reduces tax preparation time by 75% and cuts compliance costs by 50%, allowing finance teams to focus on strategic initiatives rather than routine calculations. As we continue to grow and disrupt the tax automation space, we're building a world-class team to help us scale with purpose. The Role We’re looking for a Support Engineer Intern to join our team and help ensure every customer gets a smooth, reliable experience with KintsugiAI. In this role, you’ll be at the intersection of engineering, customer success, and operations — investigating issues, identifying root causes, and helping implement fixes that improve system reliability and customer satisfaction. You’ll work closely with our Automations and Platform Engineering teams to understand how our AI-driven workflows operate behind the scenes, helping triage issues, validate bug reports, and build tools that streamline internal support processes. This role is ideal for someone who loves solving puzzles, communicating clearly, and learning how production systems work at scale. What You’ll Do - Investigate and diagnose customer-reported issues across Kintsugi’s automation and tax compliance workflows - Work closely with engineering teams to reproduce bugs, validate fixes, and ensure timely resolution - Build and maintain internal tools and scripts to improve support efficiency and visibility - Collaborate with Customer Success and Onboarding teams to troubleshoot integration and configuration challenges - Deep dive into data migration issues helping create sustainable motions for large and small data shapes. - Document recurring issues, common troubleshooting steps, and best practices in internal knowledge bases - Provide feedback to product and engineering on usability, reliability, and edge cases encountered in the field - Learn how to analyze logs, monitor systems, and interpret automation results in a production environment What We’re Looking For - Currently pursuing a degree in Computer Science, Engineering, or a related technical field - Strong problem-solving and analytical skills; enjoys debugging and root cause analysis - Familiarity with basic programming concepts (e.g., Python, JavaScript, or similar) - Excellent written and verbal communication — able to translate technical details into clear explanations - A collaborative mindset and eagerness to work across teams - Curiosity about SaaS systems, automation, and applied AI Bonus Points For - Experience with API debugging (Postman, curl, or similar tools) - Familiarity with logs and observability tools (e.g., Sentry, Datadog, CloudWatch) - Exposure to workflow automation tools or backend systems - Prior experience in a technical support or customer engineering environment Why You’ll Love Working Here - Hands-on experience with modern automation and AI systems - Mentorship from experienced engineers and customer support leaders - Opportunities to improve tools and processes used across the company - A mission-driven culture focused on simplifying complex financial workflows - Flexible, fast-paced startup environment where your work has immediate impact