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Senior Manager Procurement Enablement Jobs

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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 Role Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally. About the Work Develop robust, reliable and optimized production-level control software following safety standards (ISO 26262). Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather condi

machine learningaic++
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KH
K Health
📍 Remote• Remote• $150K – $200K/yr
7 days ago

About the role: This is an opportunity to join K's critical InfoSec team as a Senior Security Engineer - AppSec and operate with foresight in protecting our infrastructure, applications, cloud security, and customer trust. As a lean team, we span across multiple areas such as AppSec, CloudSec, SecOps, ITSec, and Compliance and apply it towards reading and interpreting architecture, or planning and building out net new security solutions. You will have the autonomy to define and implement cutting-edge security solutions across our entire technical ecosystem, ensuring our innovative work remains robust and compliant against evolving global threats. This role is crucial for establishing and maintaining a world-class security posture, particularly within the sensitive and highly regulated healthcare technology space. What you will do: Lead the development and implementation of robust application security protocols throughout the entire Software Development Lifecycle (SDLC). Partner with engineering teams to incorporate security into architecture, design, development, testing and deployment Perform hands-on security testing of web applications, APIs, cloud-native services and supporting infrastructure Build and improve automated security testing within CI/CI pipelines, including static analysis, dependency scanning, secrets detection, container scanning and dynamic testing Evaluate effectiveness of application security tools, improve tooling output quality and reduce unnecessary findings and developer friction Develop secure coding standards with developer-focused documentation Contribute application security expertise to vulnerability management, during security incidents/investigations and post-incident reviews Evaluate third party applications, libraries and APIs and integrations for security risk Ensure adherence to relevant healthcare regulatory and compliance requirements (e.g., HIPAA, GDPR, etc.) across all product lines and systems. What we're looking for: 4+ yea

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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission.We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts. The Difference You Will Make: We are looking for talented and self-motivated Senior Software Engineers who are passionate about working in this highly dynamic domain and collaborating with world-class XFN teams to advance our mission. As part of the Payments Risk Engineering team, you will be in charge of designing and building a wide range of scalable systems and robust infrastructure to detect, mitigate and resolve risk issues across our entire payments platform, and to protect our communities and businesses from all malicious activities and fraudulent actors. You will be deeply involved in the technical details of building highly available and real-time risk services in close collaboration with product, data science and operations teams to understand and react to the ever evolving risk scenarios and to make Airbnb the world’s safest while easiest to use payments platform. A Typical Day: Building and maintaining a long-term

pythonjavareact
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At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by crea

REMOTEpythonmysqlaws
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7 days ago

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by crea

REMOTEpythonmysqlaws
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Zocdoc
📍 New York• Remote• $180K – $220K/yr
7 days ago

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is looking for a Senior Site Reliability Engineer to make our distributed production systems more observable, reliable, and safe to change. Our platform connects patients, providers, and many interconnected services and integrations, so reliability depends on understanding the full path of a request—not just whether an individual service is running. You’ll help build the observability foundations, automation, and engineering practices that allow Zocdoc to move quickly without sacrificing safety. You’ll work across cloud infrastructure, microservices, APIs, and integration points in AWS, partnering closely with product engineering teams to identify risks, improve operational visibility, and make the right behavior easier to build and operate. You’ll enjoy this role if you are… Passionate about observability and believe that teams can’t reliably operate what they can’t see Experienced in integration-rich environments where APIs, third-party dependencies, asynchronous workflows, and distributed services create complex failure mode

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Roblox
📍 San Mateo• $243.3K – $295.3K/yr
7 days ago

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. The Video Team is responsible for adaptive video playback and rendering, screen recording, camera capture, live video, video ads, video transcoding, and moderation. We develop on mobile, desktops, consoles, web, and our backend microservices platform. This is a hands-on role focused on Android with the opportunity to work across all the areas. This role is not a video codec research or implementation position; we only use industry-standard codecs. You Will: Design, develop, use AI/LLMs, optimize, and debug video capture, encoding, playback, and rendering focused on the Android platform using NDK APIs like Vulkan and AMediaCodec. Innovate, architect, and implement our vision for video in a 3D immersive environment. Have the opportunity to work across our platforms (desktop, mobile, and consoles). Have the opportunity to work on our backend microservices Collaborate with different teams all across Roblox to develop new uses of video. Be guided to create state of the art video tech for gaming industry You Are: An experienced engineer with 8+ years of designing, developing, and debugging complex C++ applications running on Android. An expert with the wide variety of Android devices from junk to

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Altana
📍 Brooklyn• $155K – $185K/yr
7 days ago

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we scale our logistics business, we are hiring a Senior Sales Engineer to be the technical lead on Altana’s work with logistics service providers and customs brokers. Following our acquisition of Cervo, our product surface now spans transaction screening, shared product catalog, duty calculation, post-entry audit, and agentic entry writing, and the deals that win are the ones where someone can map a broker’s actual entry-writing workflow today, show them what it looks like on Altana, and prove the integration path is real. You’ll own that work: demos, solution design, architecture conversations, and the technical narrative that carries a deal from first call to signed order form. You’ll partner closely with Sales, Product, Engineering, and Implementation, and act as the voice of the customer back to our product and engineering teams. This is a high-leverage hire on a fast-moving vertical. You Will Achieve mastery of the full Altana product surface area and run demos that hold up with brokerage operations staff, IT leadership, and executive buyers alike, whether it’s an impromptu whiteboard session or a prepared narrative demo Design solutions for complex customer environments, mapping current-state operational workflows to a credible future state on Altana, and documenting the gap between them in terms a customer recognizes as their own business Speak fluently to the technical architecture of the platform: data models, APIs, EDI and file-based integration patterns, and how Altana lands inside the systems logistics providers already run Serve as the bridge between the commercial and product organizations, translating field reality into product input and product direction into field-ready positioning Support the sales process with new and existing custom

aisupply chainlogistics
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DC
DoorDash Canada
📍 Toronto• C$149.5K – C$187K/yr
7 days ago

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We’re looking for product-focused iOS Engineers who love building reliable, intuitive, and beautiful experiences on mobile. We aren’t just developing an app; we’re building a mobile ecosystem from the ground up that integrates the consumers, merchants and drivers. This is a full-stack role where you’ll not only build complex apps but will also make impactful decisions on the product. You're excited about this opportunity because you will... Work within our product teams to build exciting features Improve our code base through continuous refactoring Solve challenging real-time data transfer and synchronization problems Extend and implement our APIs Implement unit tests Keep up-to-date with the industry standards of iOS development We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 5+ years of industry experience Expert at Swift, and iOS SDK Familiarity with networking, storage, and Cocoapods Systems and OOP knowledge Experience building, launching, and iterating on mobile apps Compensation Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and s

swiftExcellogistics
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Sentry
📍 Toronto• Full-time• Remote• C$200K – C$420K/yr
7 days ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow. We develop storage services like our open-source Objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data. As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way. In this role you will Design and operate storage systems used across Sentry, including their configuration and performance tuning. Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in. Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow. Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt th

REMOTEpythonjavakubernetes
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Sentry
📍 San Francisco• Full-time• Remote• $190K – $400K/yr
7 days ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow. We develop storage services like our open-source Objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data. As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way. In this role you will Design and operate storage systems used across Sentry, including their configuration and performance tuning. Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in. Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow. Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt th

REMOTEpythonjavakubernetes
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B
7 days ago

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. As we grow our EMEA team, we are seeking a Sales Development Representative for the BeNeLux region, based in the UK. This role will require you to be in our London/Amsterdam office 3-4 times per week. We’ve asked our current sales people to tell us what they like about their job with Bloomreach, and this is what they told us: You sell a world-class product that helps people Offering a cool thing you know works (check our Success Stories) You’re in touch with C-level clients and leading e-commerce businesses Having a job in the world’s most progressive industry You can make a killing (generous commission including on every signed deal) The sales role is the launchpad to the fastest career growth at Bloomreach (both in terms of responsibilities and salary) As a salesperson, you have an incr

aisalesforcerecruitment
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DU
DoorDash USA
📍 San Francisco• $137.1K – $201.6K/yr
7 days ago

About the Team DoorDash Drive powers deliveries placed through merchants' own channels—including their websites, mobile apps, and phone orders—using DoorDash's logistics network. The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release optimization, logistics decision-making, and AI-powered delivery quality signals. Drive presents a unique machine learning challenge. Every merchant has different operational workflows, preparation patterns, and customer expectations, requiring models that generalize across millions of deliveries while adapting to highly diverse merchant behavior. Our team has significant opportunities to improve prediction accuracy, optimize logistics decisions, and build AI-native experiences that directly improve merchant, consumer, and dasher outcomes. About the Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end—from feature engineering and model development to experimentation, deployment, monitoring, and continuous iteration. Your work will span several high-impact problem areas: Build next-generation machine learning models for delivery ETA, pickup ETA, merchant prep-time estimation, and order release prediction that improve reliability for merchants and consumers. Develop deep learning models that leverage large-scale spatiotemporal, marketplace, and behavioral signals to improve prediction accuracy. Apply reinforcement learning and optimization techniques to improve logistics decision-making, assignment strategies, and marketplace efficiency. Build AI-native product experiences using large language models (LLMs) and vision-language models (VLMs). For example, transform pickup photos, item verification flows, receipts, and drop-off images into structured quality signals that help verify orders, prevent delivery defects, and improve issue resolution. Design

pythonmachine learningai
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DU
7 days ago

About the Team Agentic Foundations, part of New Verticals ML, builds the core AI/ML intelligence that powers high-quality, scalable agents at DoorDash, and proves it through flagship agent experiences such as the Ask grocery assistant. We operate as a closed loop: new models, evals, and representations make our agents better, and real-world agent usage surfaces the gaps that drive our next foundations work. About the Role We’re looking for a Senior Machine Learning Engineer to join Agentic Foundations with a primary focus on Vertical Agent Development. You will own the continuous improvement of our flagship agents, starting with the Ask Assistant, using an eval-driven loop to make them faster, more cost-efficient, and more reliable for millions of customers. You will also help us bring this approach to new agentic experiences for Merchants and Dashers, turning promising ideas into production-ready agents. This is a chance to work at the intersection of LLMs, agents, post-training, and evals on problems that ship. You will partner closely with engineers working on agentic memory, agent-compatible product representations, and post-training of small language models (SLMs), so that what we learn from production agents feeds directly back into our foundations, and what we build there makes our agents better. You will report into the engineering lead on our New Verticals AI/ML team. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Raise the quality of our Consumer agents: build and refine our eval harness-optimization loop to pinpoint failure modes, then iterate on prompts, tools, skills, and context, and measure the impact on real customer tasks. Find the best balance of quality, latency, and cost: run rigorous experiments, including fine-tuning open-weights models and deploying small language models (SLMs) where they can replace or augment larger LLMs. Launch new agents: take ag

pythonmachine learningai
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