Logistics Specialist Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in prod

About the Team New Verticals is an exciting team at DoorDash that is building and scaling new ways to delight our customers beyond restaurant deliveries (e.g., Grocery, Convenience, Alcohol, Retail). Our Central Ops team has three major mandates: to effectively onboard merchants, fulfill every order with speed & accuracy and improve our logistics network. We are able to do this by identifying efficiencies, building product tooling and launching operational processes at scale. You will own metrics, pull operational & product levers and drive impactful results across our Grocery, Convenience, Alcohol and Retail businesses. About the Role We are looking to build out our team with a Senior Associate who will focus on a variety of strategic and operational initiatives on the New Verticals Central Ops pod. You will lead the scoping, go-to-market, and iteration of cutting-edge product features to help DoorDash improve order quality and selection across our Convenience, Grocery, Alcohol, and Retail businesses. You work will include attracting more Dashers into shopping, building the tools & technology they use in-store, and ensuring the right supply is available in the right place at the right time. Your work will be highly visible, and involves partnering with the Machine Learning, Engineering, Product, and Data Science teams. You will sit in the Central Ops group within our New Verticals Strategy & Operations organization and report into a Manager. This is an individual contributor position. You’re excited about this opportunity because you will… Analyze : You love working with data and using data to drive business decision-making. You love talking to customers, unpacking their feedback, coming up with improvement opportunities and are familiar with SQL. Strategize : You will own and deliver on improving key metrics. You will create quarterly and annual plans that push our business forward and are aligned with our product capabilities. You will

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly, and the transactions we enter into are often unlike anything the accounting literature directly contemplates. We're hiring a senior leader to own accounting policy and technical accounting. In this role, you will be the company's authority on how we account for what we do: usage-based and enterprise revenue arrangements, large compute and infrastructure transactions, complex financing and equity instruments, and M&A and investment activity. You'll build the technical accounting function from a strong foundation into one that operates at public-company grade — establishing the whitepaper and position-memo discipline that lets us take well-supported positions on novel, first-of-kind transactions, defend them with our external auditors (including their national office), and be ready for public-company-grade reporting when the company needs it. This is a high-judgment, high-trust role. You'll work closely with the Controller and CFO organization, Legal, Tax, and deal teams across the company, and you'll often be the first accountant in the room when a new kind of transaction is being designed. Key responsibilities Own the company's accounting policy framework: establish, document, and maintain US GAAP accounting policies across all significant areas, and keep them current as the business and the standards evolve Serve as the lead technical advisor on novel and first-of-kind transactions, including usage-based and enterprise revenue arrangements (ASC 606), large compute and infrastructure commitments, complex financing and equity instruments, and M&A and investments Build and institution

About the Team The Strategy & Operations Cx Experience team owns the discovery experience for how users explore DoorDash. Our mission is to help DoorDash consumers connect with their communities and discover “what’s good” in their city. Our Occasions pod sits within this team and our mission is to help DoorDash become the #1 destination to buy anything you need around seasonal and celebratory moments. Our team designs the strategy and executes these initiatives, while making Consumers feel that DoorDash is personalized just for them. We bring together a team across product, user research, marketing, analytics and operations to collaborate on platform and content projects that bring us closer to our vision. About the Role We’re looking for a detail oriented, highly-motivated individual to lead the execution of our occasions, owning the strategy development and implementation needed to launch these campaigns. As our execution lead, you will work closely with multiple XFN partners and stakeholders, guiding teams on best practices, workback schedules, timelines and campaign launching. You will become an expert in all internal tooling used for campaign execution, craft the roadmap for the rollout of our occasions, help teams setup, test and launch initiatives, identify areas where we can continue to streamline the execution process, and so much more. You will report into a Manager on our Occasions team. You’re excited about this opportunity because you will… Own the preparation and implementation of the execution plan for key initiatives and occasions: creating campaigns when needed, setting up experiments, conducting testing sessions and implementing in-app content Collaborate across internal marketing and operations teams: maintaining documentation, communicating clearly about project status, and adhering to deadlines Thoroughly review and test campaigns to ensure it meets design standards and merchandising guidelines, keeping the user experience in min

Who Are We HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools. HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations. Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank. At HALA, Digital Marketing Manager lead HALA’s digital marketing and performance acquisition activities to drive customer and merchant growth across payment products and services. The role owns digital channel strategy, campaign performance, acquisition funnels, and budget optimization to maximize conversion, ROI, and sustainable growth. Responsibilities: Develop and lead the digital marketing and paid acquisition strategy across SEM, paid social, display, and other relevant channels. Own digital acquisition performance across the funnel, from awareness and lead generation through conversion and activation. Manage digital marketing budgets and optimize channel allocation based on CAC, conversion, ROI, and business performance. Lead campaign planning, audience targeting, retargeting, and A/B testing to continuously improve performance. Oversee landing-page and conversion-funnel optimization in collaboration with Product, Creative, and Technology teams. Establish and monitor digital marketing KPIs, attribution, dashboards, and performance reporting. Partner with Product, Sales, Data, Creative, Marketing Operations, and Compliance to support product launches and growth initiatives. Identify new digital channels, technologies, and growth opportunities relevant to HALA’s customer and merchant segments. Ensure digital campaigns comply with HALA’s brand standards, internal policies, and applic

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. About the role In the Trade Management team, you'll join an international and diverse group of passionate experts. We're transforming the way we approach global logistics – moving from intuition-based decisions to a precision-engineered, data-driven strategy. We're seeking an Expert Trade Analyst: a technical heavyweight who loves to code, model, and moves fast. You'll be a hands-on builder of the analytical backbone behind our trade management decisions – spending the large majority of your time in the code, building complex data models, writing high-performance queries, and designing algorithms. You'll be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. This role rewards speed and creativity as much as technical depth – you should be comfortable using modern AI tooling to work faster and think through problems from first principles rather than by playbook. Key Responsibilities Advanced Analytics & Modeling Own the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines. Personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems – you are the technical escalation point on trade data. Build robust predictive models to anticipate market demand and capacity constraints, enabling Procurement to buy smarter and Pricing to sell more effectively. Use AI tools (e.g., coding assistants, LLMs) to accelerate development, prototyping, and analysis – we want speed of thinkin

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. About the role In the Trade Management team, you'll join an international and diverse group of passionate experts. We're transforming the way we approach global logistics – moving from intuition-based decisions to a precision-engineered, data-driven strategy. We're seeking an Expert Trade Analyst: a technical heavyweight who loves to code, model, and moves fast. You'll be a hands-on builder of the analytical backbone behind our trade management decisions – spending the large majority of your time in the code, building complex data models, writing high-performance queries, and designing algorithms. You'll be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. This role rewards speed and creativity as much as technical depth – you should be comfortable using modern AI tooling to work faster and think through problems from first principles rather than by playbook. Key Responsibilities Advanced Analytics & Modeling Own the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines. Personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems – you are the technical escalation point on trade data. Build robust predictive models to anticipate market demand and capacity constraints, enabling Procurement to buy smarter and Pricing to sell more effectively. Use AI tools (e.g., coding assistants, LLMs) to accelerate development, prototyping, and analysis – we want speed of thinkin

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. Penetration test specific, high value deployments. Contribute to AI-assisted security testing tooling and workflows. Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: 5+ years of hands-on experience in red teaming and offensive security operations Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines Track record of discovering novel attack vectors and chaining vulnerabilities creatively Experience conducting adversarial simulations against well-defended environments Strong engineering skills (Python, Go, or similar) Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with:

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. A passion for the company's missio

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Where you might sit We're hiring across more than one team. Placement depends on your background and where you can have the most impact. GTM Systems: Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship. QTC Experiences: A vertically integrated team that spa

Job Title Trade Compliance Manager, Master Data & Controls Job Description Trade Compliance Manager, Master Data & Controls Our Trade Compliance Master Data & Controls Manager will own the operational framework required to ensure Philips Respironics import/export part-number data, trade documentation, and broker-facing compliance information are complete, accurate, current, and actionable. You will create and maintain a controlled trade compliance data-management system that ensures every active/imported/exported part number has the required master data, documentation, regulatory flags, and ownership needed to support compliant and efficient customs clearance. Your role: Will serve as the single point of accountability for trade master data readiness across SAP plant names, Philips trade databases, customs broker platforms, and internal business workflows. The role will convert today’s reactive, RFI-driven process into a controlled, visible, governed system that enables proactive compliance execution, faster customs clearance, reduced broker escalations, and stronger regulatory readiness. Own Trade Master Data Governance: Lead the accuracy, completeness, and visibility of import/export trade compliance data across SAP, product master systems, trade databases, and broker platforms. Establish data standards, governance processes, and controls to ensure critical trade attributes such as classifications, country of origin, regulatory indicators, and supporting documentation are maintained and audit-ready. Drive Broker and System Alignment: Ensure trade compliance data is synchronized across SAP, invoices, broker databases, and other trade repositories to prevent shipment delays and clearance issues. Proactively identify and resolve data discrepancies, while managing broker inquiries through root-cause correction rather than one-time transactional fi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, in

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice. We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something. We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI. Key responsibilities Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review Join launch planning early with P

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join the Acceleration Programs team within the Talent Density pillar of our People Team, which works to cultivate a culture that attracts, recognizes, and accelerates top talent. As an intern, you'll align with one or more critical projects that support our number one operating priority: top talent in every seat. You'll flex program design, project management, and analytical skills while contributing to work that unlocks employees' ability to have a major impact at Coinbase. What you'll do: Support program design by actively contributing to brainstorms, working sessions, and development of project plans, timelines, and deliverables Partner with Talent Density team members and cross-functional People Team partners to execute program logistics end-to-end Gather and analyze feedback from various sources to assess program effectiveness and contribute actionable recommendations for future iterations Build and maintain documentation for new and existing processes to ensure scalability and clear communication across stakeholders Required Skills and Experience: Demonstrated experience managing a project from initial concept to completion, including setting timelines and tracking deliverables Analytical and problem-solving capability with a data-driven approach to decision-making Organizational skills sufficient to

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines. About the Role Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation. About the Work Research, develop, and implement state-of-the-art online mapping models and algorithms. Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system. Work cross functionally with other ML teams to integrate our models