International Financial Compliance Director in United States

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. Team & Role Overview About the Team and Department Franklin Templeton Investment Solutions (FTIS) brings together investment, research and product expertise to develop and manage multi-asset strategies. Within FTIS, the Retirement Solutions team combines expertise in strategic and dynamic asset allocation, glide path design, portfolio construction, risk management, and underlying investment selection, leveraging Franklin Templeton’s global investment platform across public and private markets. Working closely with plan sponsors, consultants, recordkeepers, and distribution partners, FTIS delivers retirement solutions that support the evolving needs of participants and retirement systems across U.S. and international markets. About the Role The Solutions Portfolio Manager – Retirement Solutions will serve as a retirement and target date subject matter expert, supporting the growth of FTIS’s retirement business across U.S. institutional, recordkeeper, intermediary and internationa

Nurse Practitioner Company: The Boeing Company The Boeing Company’s Health Services organization is currently seeking a Nurse Practitioner to join their team in Everett, WA . The Nurse Practitioner will work in collaboration with others and partner with community health care providers, and suppliers such as Workers' Compensation Administrators to deliver services to employees, managers, and company organizations to determine how to increase the safety and well-being of Boeing employees. This position may require travel on a rare occasion to other Boeing sites in the Puget Sound area. Position Responsibilities: Provide medical services and / or medical consultation within the scope of an Advanced Registered Nurse Practitioner (ARNP) license in collaboration with company physicians and in support of company requirements Deliver services to employees, managers, and company organizations, and works with community health care providers, and suppliers such as workers' compensation administrators Provide clinical evaluation and urgent care assessment, treatment and/or referral for occupational and non-occupational medical conditions Determine fitness for duty, functional capacity, and medical restrictions for employees in relation to job demands, and provides assessment and consultation on accommodation and placement issues Perform health surveillance examinations and determines medical qualification for the occupational health examination program and international assignments Basic Qualifications (Required Skills/Experience): Must be licensed as an Advanced Registered Nurse Practitioner (ARNP) in the State of Washington or eligible

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Infrastructure Quality team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, general contractors, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. Our work spans from vendor qualification through commissioning, ensuring operational readiness across our global portfolio. About the Role We are seeking an experienced Manufacturing Quality Engineer (MQE) to establish, implement, and manage a manufacturing-focused quality program for datacenter infrastructure. This role will be responsible for vendor oversight, quality assurance, process improvement, and issue resolution for all critical systems. You will lead vendor audits, monitor performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced risks, and operational reliability. By partnering with vendors, construction teams, and internal stakeholders, you will help ensure OpenAI’s datacenters are delivered on time and built to the highest operational standards. Travel Domestic and international travel as needed (estimated 40–60%) to manufacturing sites, datacenter locations, and partner facilities. Key Responsibilities Vendor Oversight & Performance Management Conduct manufacturing evaluation, audits, and improve vendor performance across production, inspection, testing, and delivery phases. Develop and track quality metrics to assess manufacturing performance and identify trends. Partner with vendors to refine processes, training, and quality controls to mitigate risks before shipment. Program Development & Execution Develop and maintain a datacenter-focused m

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Your Launchpad into Global Trade The opportunity As a Customs Specialist, you won't just be starting a job; you'll be starting a career at the heart of international trade. You'll join our core Customs team—a product poised for more than 10x growth in the next five years—and play a pivotal role in how goods move around the world. You'll be on the front lines, working with clients, shippers, and government agencies to clear goods across international borders. Forget old-school logistics; here, you'll use Flexport's state-of-the-art technology to automate processes and set new industry standards. You’ll be surrounded by industry leaders in a vibrant, supportive environment that’s built on teamwork and innovation. We invest in our people with continuous learning opportunities to help you grow into a thought leader in the customs field. This position will be based in the Laredo, TX area . What you’ll do Become a global trade expert by navigating the complex world of customs regulations to ensure goods comply with international laws. Keep supply chains moving by managing the essential documents and data needed for smooth customs clearance to

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Your Launchpad into Global Trade The opportunity As a Customs Specialist, you won't just be starting a job; you'll be starting a career at the heart of international trade. You'll join our core Customs team—a product poised for more than 10x growth in the next five years—and play a pivotal role in how goods move around the world. You'll be on the front lines, working with clients, shippers, and government agencies to clear goods across international borders. Forget old-school logistics; here, you'll use Flexport's state-of-the-art technology to automate processes and set new industry standards. You’ll be surrounded by industry leaders in a vibrant, supportive environment that’s built on teamwork and innovation. We invest in our people with continuous learning opportunities to help you grow into a thought leader in the customs field. This position is based in the Laredo, TX area and will work the second shift, 4pm CST - Midnight. What you’ll do Become a global trade expert by navigating the complex world of customs regulations to ensure goods comply with international laws. Keep supply chains moving by managing the essential documents and data

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Hiring the right people — especially at the executive level — is one of the most important ways we pursue this mission. We’re seeking a Recruiting Coordinator to join our team, focusing on the logistics and coordination of recruiting efforts for the Recruiting organization. This role will involve close collaboration with recruiters, sourcers, interviewers and hiring managers, ensuring operational excellence and a standout candidate experience. You will primarily be responsible for scheduling interviews, managing the logistics of onsite interviews, streamlining processes, and scaling programs. This role is a non-exempt, hourly position based on a 40-hour work week with potential for overtime earnings. About the Role As a Recruiting Coordinator, you will: Take ownership of the scheduling process, end to end, for evergreen and opportunistic hiring needs. Act as a partner for recruiting ops problems and help us find solutions through a mix of data, tools, and collaboration. Greet candidates onsite in the office to provide a welcoming interview experience. Be the primary scheduling and interview planner for various Recruiters and Hiring Managers across the Robotics team. Use our tools like Ashby, Guide, ChatGPT, G-Suite, and others to uphold a timely and positive hiring experience and process. Have the ability to problem solve and adapt to an ever-changing environment while maintaining confidentiality and discretion. Manage clear, concise, timely, and professional communication with candidates and hiring partners in written and verbal form. Handle candidate reimbursement & travel (domestic and international). Work with our Executive Operations team to support and improve candidate experience and management of senior and executive level candidates. Qualifications: 5+ years of recruiting coordination experience, including experience scaling processes and driving

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. The Creator Partnerships team supports that mission by building trusted relationships with creators, experts, and organizations to help them explore valuable uses of AI. We work across OpenAI to develop partnerships grounded in trust, usefulness, and measurable impact. Our work goes beyond individual launches and includes product education, partner feedback, and collaborative programs that create lasting value for partners and OpenAI. About the Role We are seeking a Strategic Partner Manager to build and manage trusted relationships on behalf of OpenAI. You will identify and develop strategic partnerships that help people explore meaningful uses of AI and create value for OpenAI and the partners we work with. As the relationship owner, you will guide opportunities from initial engagement through development, execution, and ongoing growth, coordinating across product, technical, marketing, and other internal teams. This is a senior individual contributor role for someone with an established network, strong strategic judgment, product curiosity, and a track record of turning relationships into successful partnerships. This role is based in Los Angeles, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Domestic and occasional international travel should be expected. In This Role, You Will Originate, develop, and grow trusted external relationships. Serve as the primary owner for a portfolio of strategic partners. Understand partners’ goals, audiences, businesses, and concerns. Identify meaningful applications of OpenAI’s products and develop partnership plans around them. Lead opportunities from initial engagement through negotiation, execution, evaluation, and ongoing growth. Develop clear narratives and value propositions for prospective partnerships. Coordinate closely with teams across Produc

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. The Creator Partnerships team supports that mission by building trusted relationships with creators, experts, and organizations to help them explore valuable uses of AI. We work across OpenAI to develop partnerships grounded in trust, usefulness, and measurable impact. Our work goes beyond individual launches and includes product education, partner feedback, and collaborative programs that create lasting value for partners and OpenAI. About the Role We are seeking a Strategic Partner Manager to build and manage trusted relationships on behalf of OpenAI. You will identify and develop strategic partnerships that help people explore meaningful uses of AI and create value for OpenAI and the partners we work with. As the relationship owner, you will guide opportunities from initial engagement through development, execution, and ongoing growth, coordinating across product, technical, marketing, and other internal teams. This is a senior individual contributor role for someone with an established network, strong strategic judgment, product curiosity, and a track record of turning relationships into successful partnerships. This role is based in New York, NY. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Domestic and occasional international travel should be expected. In This Role, You Will Originate, develop, and grow trusted external relationships. Serve as the primary owner for a portfolio of strategic partners. Understand partners’ goals, audiences, businesses, and concerns. Identify meaningful applications of OpenAI’s products and develop partnership plans around them. Lead opportunities from initial engagement through negotiation, execution, evaluation, and ongoing growth. Develop clear narratives and value propositions for prospective partnerships. Coordinate closely with teams across Product,

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. What You’ll Do: As a Senior Backend Engineer on the Avatar Marketplace team, you will be building an international marketplace for millions of virtual items that users acquire to customize their avatars and identities on the Roblox platform. You will design, implement, and operate the frameworks and services you and the team build that help control the supply and demand of the Roblox economy. The team is responsible for building systems that will help content creators become more successful sellers. With over 90 million daily active users (and growing), we are looking for an experienced engineer who is passionate about designing and building scalable systems for both sides of the marketplace. The Marketplace Foundation team's focus is to provide reliable and scalable solutions for critical systems supporting both Avatar Marketplace creators and users. We aim to invent new and evolve existing core concepts to support new and future use cases in a holistic manner, such as Bundles, Limiteds, and Price Optimization. We help the creators to improve their earning while scaling Roblox's economy. The team is also responsible for ensuring 10x scalability headroom on critical Marketplace system

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for business operations managers to join the team. This person will work closely with folks across marketing, sales, operations, and finance across a variety of initiatives to help scale the business in our next phase of growth. You'll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. In this role, you will: Drive in-depth quantitative analyses to inform our pricing and packaging strategy. Help spin up our deal desk and streamline enterprise deals. Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities. Implement new tools and processes to enable the GTM org to grow rapidly. Get creative on a spectrum of ad-hoc projects like securing new office space in Manhattan. Requirements: We are looking

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're hiring a Compute Strategy and Operations lead to own how Modal plans for and acquires GPU and CPU capacity. You'll size our infrastructure needs ahead of demand, source supply across hyperscalers, neoclouds, and datacenter operators, and negotiate and close the contracts to secure it. The compute you secure directly determines what Modal can sell and build. In this role, you will: Own end-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators Build and maintain a strong pipeline of supplier relationships Evaluate supply options on price, availability, hardware specs, networking capabilities, and SLA terms Negotiate and close contracts: reserved capacity agreements, spot arrangements, MSAs, DPAs, and order forms Work closely with our engineering teams to translate technical requirements into procurement specs Track

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: 5+ years of experience writing high-quality production code Experience building high-performance distributed systems at a large scale (the more battle scars, the better) Strong cloud skills Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) Ability to work in-person in our NYC or SF office. Prior experience with Rust is nice to have, but not required. Ability to participate in on-call rotation and respond to production incidents.

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role We're looking for an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal's serverless GPU platform. This is a hands-on leadership role — expect to split your time between technical contribution and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization. Who You Are You're an experienced engineering leader who stays close to the work and builds alongside your team when it counts. You earn trust through technical depth, not title. You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure. You care as much about how your team gets to an answer as the answ

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you! Requirements: 5+ years of experience writing high-quality, high-performance code. Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). Familiarity with Nvidia GPU architecture and CUDA. Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).