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DU
Just now

About the Team The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Principal Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals. You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale. You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints. As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace. About the Role Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding. Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs. Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration. Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deliver

pythonjavamachine learning
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DU
DoorDash USA
📍 San Francisco• $242.8K – $357K/yr
Just now

About the Team The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Senior Staff Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals. You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale. You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints. As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace. About the Role Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding. Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs. Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration. Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deli

pythonjavamachine learning
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DU
Just now

About the Team The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Event Streaming Systems team owns the event streaming platform that powers business-critical, event-driven workflows across DoorDash, Wolt, and Deliveroo, including Kafka, our event streaming abstraction layer (internally called Event Bus), and the next generation of streaming platform technologies. These systems sit on the Tier-0 critical path. They move trillions of events per day across multiple regions and underpin how hundreds of engineering teams build reliable, event-driven products at massive scale. About the Role We're looking for a Staff Software Engineer to set the technical direction for our event streaming platform and lead its evolution over the next several years. This is a senior individual-contributor role: you'll operate as a force multiplier across teams, owning the hardest architectural problems, driving org-wide technical strategy, and raising the engineering bar for everyone who builds on and operates streaming infrastructure. You'll go deep on the internals of modern streaming systems, from the Kafka protocol and storage engine to object-store-backed, diskless architectures like WarpStream and AutoMQ. You'll make the high-leverage bets that determine how DoorDash streams data for years to come, on a platform that serves hundreds of engineering teams and trillions of events per day. You must be located in the New York Metro Area for this hybrid position. You will report to the Engineering Manager on our Event Streaming Systems team within the Storage organization. You're excited about this opportunity because you will… Set the multi-year technical vision and architecture for DoorDash's event streaming platform, and drive alignment in that direction across Storage, SRE, Data Platform, and Product Engineering. Lead the largest and most ambig

javalinuxai
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SA
Scale AI
📍 Washington• $245.6K – $307K/yr
Just now

Scale AI is seeking a highly skilled and motivated Team Lead for our ARC (Architecture, Reliability, & Compute) team supporting our dynamic Public Sector Engineering team. As the lead of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. As Team Lead, you will provide mentorship for the rest of the team and manage their performance while also guiding the technical direction of the team. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Provide mentorship to and manage the performance of the other team members Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active sec

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Asana
📍 Warsaw• Full-time• $372K – $432K/yr
Just now

We're looking for a Senior Platform Reliability Engineer who brings strong software engineering skills and a deep understanding of system behavior under load and stress. This role is a good fit for someone who wants to own reliability as a first-class concern – building the foundational systems that protect Asana's platform, not just responding when things go wrong. You'll build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is deep, cross-cutting work that shapes stability and performance of our entire infrastructure – and you'll partner closely with other platform teams to make reliability something that's built in, not bolted on. Our tech stack includes: AWS, Kubernetes (EKS), CloudFront, Istio, Cilium, MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.) Why this role? Reliability as a first-class feature : You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design. Foundational work : Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own them. Strong collaboration, reasonable hours : You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics. Room to grow : This is a new team, and you'll help shape what Platform Reliability Engineering looks like at Asana – whether that means leading projects, mentoring others, or defining our technical direction. In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory. We're especially interested in people who think like backend engineers but obsess over failure modes, capacity plan

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Snowflake
📍 Menlo Park• Full-time• $236K – $339.2K/yr
Just now

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Location: Hybrid (3 days) in Dublin, CA preferred; Menlo Park, CA also considered About the team Enterprise Apps & Agentic Systems is applying that standard internally. We partner directly with business teams to redesign high-value domains from first principles and turn them into software-defined, AI-native products. We are customer zero for Snowflake technology: we build first-of-a-kind solutions for our own teams, prove their value in production, and bring the learnings to our customers. We are hiring a Staff Product Manager to lead products that make our Finance, People, Legal, and other enterprise domains AI-Native. This is not an application management role. You will own the product problem from discovery through value realization. You will identify where work should be eliminated, redesigned, automated, or delegated to software; define the product strategy; align the business and technology teams; and lead the delivery of products that people choose to use. What you will do Set product direction. Develop a clear product vision, strategy, roadmap, and narrative for a meaningful business problem. Define the outcomes that matter, the choices required to achieve them, and the principles that guide trade-offs. Partner directly with the business. Work side by side with

reactaifinance
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. The Architecture team at Tenstorrent is designing the central compute chiplet that powers our next generation automotive SoC. This role is about turning real world automotive and safety requirements into architecture that performs, scales, and ships fast and reliably. If you think silicon design should start with clarity and end with confidence, this is where your experience makes the biggest impact. This role is remote, based in Munich, Germany. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Approach design with a systems mindset, always thinking in trade offs, not just specs and block diagrams. Bring deep knowledge of SoC architecture, from interconnects and I/O to memory and CPUs. Confident working within performance, power, and reliability constraints. Familiar with, or eager to dive into, functional safety, ISO 26262, and automotive grade design challenges. What We Need Someone to architect and specify one or more chiplets in the robotics and automotive family. 5+ years of experience translating high level requirements into detailed architectural direction. Ability to identify impactful features that boost PPA, safety, and reliab

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Figma
📍 Ca New York• Full-time• $258K – $376K/yr
Just now

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is a data-driven organization, and Data Platform builds the foundation that makes that possible. The platform powers everything from core business metrics and product analytics to the applied AI and experimentation systems that teams across the company rely on to build and make decisions. In this role, you'll lead engineers across Data Platform through their next phase of scale, setting technical direction, growing the team, and partnering broadly across the company. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a team of engineers building and operating Figma's data platform, owning delivery, technical direction, and team health Set the roadmap and technical strategy for your sub area, and provide hands on technical leadership where the team needs it Drive the reliability, scalability, and forward strategy of the platform as adoption grows across the engineering and product organization Hire, grow, and coach engineers and tech leads, raising the bar and building a healthy, inclusive, high-performing team Partner with Data Science, Product, Finance, and Engineering to identify the highest-leverage priorities and drive alignment Make sound build versus buy decisions, including evaluating and managing platform vendors where it makes sense Keep delivery predictable while balancing near-term execution with long-term platform investment We'd love to hear from you if you have: 3+ years managing engineers

aifinance
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Sentry
📍 San Francisco• Full-time• Remote• $220K – $400K/yr
12 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 You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. What You’ll Do Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. Make internal developer systems accessible through APIs and build integrations enabling a

REMOTEmachine learningai
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O
22 days ago

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers to evolve the payments, billing, and subscription capabilities that support OpenAI’s growing product portfolio. You’ll tackle problems where correctness, reliability, and flexibility are essential: supporting new billing requirements, managing the billing lifecycle, synchronizing state across internal systems and external providers, and enabling new products and commercial models. Your work may span several areas based on your expertise and team priorities: Billing and monetization capabilities: Extend billing capabilities and improve integrations and state consistency across systems to support new products and business models. Subscriptions: Orchestrate purchases, renewals, plan changes, cancellations, and recovery, ensuring customers are charged correctly and receive the right benefits. Payments: Expand payment capabilities through processor integrations, routing, and broader payment-method coverage. Risk and integrity: Partner with risk and integrity teams to integrate controls into purchasing flows, reducing abuse while protecting legitimate customer experiences. You’ll help set technical direction while remaining hands-on in implementation and delivery. This is an opportunity to solve complex engineering problems at scale, connect architecture decisions to customer and business outcomes, and help other engineers take on broader ow

REMOTEartificial intelligenceaifinance
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O
22 days ago

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers with deep iOS or Android expertise and demonstrated experience contributing beyond mobile to frontend web or backend development. You’ll shape and build purchasing and subscription experiences across mobile applications, web, and supporting product APIs. The work spans improving conversion, performance, and reliability, building reusable components, and enabling new product launches. You’ll combine product judgment with technical depth to set direction, lead initiatives across teams, and remain hands-on through implementation and delivery. Approximately 50% of the work will initially be native mobile development, with the remainder across web and product APIs. We’re looking for engineers who enjoy working across the stack and have concrete examples of doing so professionally. Depth in either iOS or Android is required; experience in both is not required. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing and subscription experiences across native mobile, mobile web, and supporting product APIs. Partner with Product, Design, and Growth to identify customer needs, prioritize improvements, and shape technical direction for purchasing experiences. Improve conversion, performance, and reliability through experimentation, product analytics, and customer insights

REMOTEartificial intelligenceai
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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Physical Security Analyst Overview • Physical security and compliance security officer, maintains and monitors physical security policies, standards, and best practices • Abides by Security guidelines relative to security standards to provide safety and security of staff and assets • Manages Security Control Center Coordinators and security operations. • Manages and administers physical security functions for company facilities to ensure the safety; security and protection of MasterCard employees and asset • Recognizes potential and realized security threats and takes reasonable action to mitigate risk or injuries to personnel and or property • Provides MasterCard Corporate Security Standard Operating Guidelines security supervisors and follows-up to ensure adherence • Manages Security officers by delegating department projects, tasks and assignments • Manages Security staff schedules to ensure proper coverage at all times Role • Interaction with employees and guests, provide direction on security policy and visitor directions as needed • Operational use of security systems • Trains and supervises Security officers with respect to the execution of established physical security policies, programs and procedures • Recommends the development and implementation of physical securi

recruitmentcustomer service
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SALT XC
📍 Toronto• Full-time
27 days ago

ROLE: CREATIVE DIRECTOR TEAM: CREATIVE, SALT XC LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn the World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW As a Creative Director at Salt, you’ll lead the vision, craft, and culture of creativity across one of our most exciting tier-one clients—where sport, music, and culture intersect. You’ll shape the creative direction for fully integrated campaigns that connect ideas, experiences, and audiences in bold new ways. This role is built for a creative leader who understands what makes great ideas great; how to invent them, evaluate them, and bring them to life across any medium. You balance imagination with discipline, guiding teams to push boundaries while ensuring ideas deliver against strategy, brand, and business goals. A Creative Director at Salt knows that powerful ideas take many forms. They might start as a story, an experience, a piece of content, or something entirely unexpected, but always connect people and brands in meaningful ways. You’ll model creative curiosity, collaboration, and integrity, empowering your team to explore, experiment, and elevate

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Pinterest
📍 San Francisco• Full-time• Remote• From $177.2K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're looking for a Staff Software Engineer to lead the technical direction of the backend systems powering Pinterest's AI-driven product experiences — Pinterest Assistant, visual editing and content creation tools and future LLM-based products. You'll design and ship backend systems while architecting the broader platform strategy that enables these experiences to scale across surfaces and teams. This is a hands-on leadership role where you'll move between deep technical execution, system-level architecture and cross-team technical leadership. What you'll do: Define the backend and platform architecture for AI-driven product experiences — visual-chat, AI image generation and editing, and agentic or LLM-based products — partnering with Engineering, Product, ML and UX leaders to shape the technical vision and roadmap. Architect end-to-end systems

REMOTEpythonawsrest
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A
1mo ago

Job Requisition ID # 26WD97363 Position Overview We are seeking a Principal Software Engineer – Backend to join Autodesk’s Enterprise Data Management (EDM) organization within the COO-GET Engineering group. This is a senior individual contributor role operating at the Principal (P4) level , expected to drive technology direction for large, complex, and business-critical backend and distributed systems . This role is anchored in backend software engineering excellence : designing, building, and evolving scalable services, APIs, and event-driven systems that operate at enterprise scale. As a Principal Engineer, you will work with high autonomy and ambiguity , shape long-term architecture, and influence multiple teams and domains. Familiarity with data engineering concepts is valuable, but backend systems, service design, and distributed systems are the core competencies. You will function as a technical authority and force multiplier—guiding design decisions, setting standards, and ensuring Autodesk’s core data services are reliable, resilient, and evolvable over time. Responsibilities Provide principal-level technical

REMOTEpythonawsai
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