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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide tech
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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Observability, Monitoring, and Integrations team manages observability, monitoring, and detection for systems that support customer purchasing and use of GitLab. As a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll set the technical direction for the telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they can affect revenue or the customer experience. This is a greenfield team. You'll help build it from the ground up, shaping its operating rhythm, incident response
RDQ427R541 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Databricks’ Developer Relations team is looking for a leader to manage our open source Developer Advocates, deepen our engagement across the Apache Software Foundation and Linux Foundation communities, and lead technical storytelling and experiences that strengthen trust and adoption. This role is ideal for someone who thrives in the spotlight, is known and respected in open source communities, and gets even more satisfaction from growing other advocates than from giving the keynote themselves. As the Developer Advocate Manager for Open Source, you'll lead the team that advocates for the projects Databricks builds in the open, and serve as a crucial link between our engineering teams and the global community of practitioners building their careers on them. Your team's remit spans the Open Lakehouse — Apache Spark™ (including Spark Declarative Pipelines), Delta Lake, Unity Catalog, Apache Iceberg™, and MLflow — as well as Omnigent, our open source meta-harness for composing, governing, and sharing AI agents. As the original creators of Apache Spark™, Delta Lake, and MLflow, we hold ourselves to a high standard here: our credibility in these communities is earned continuously, not inherited. This role will leverage your expertise in building and scaling a developer relations team, and it will build on your standing within the open source world and your working relationships with the Apache Software Found
RDQ427R541 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Databricks’ Developer Relations team is looking for a leader to manage our open source Developer Advocates, deepen our engagement across the Apache Software Foundation and Linux Foundation communities, and lead technical storytelling and experiences that strengthen trust and adoption. This role is ideal for someone who thrives in the spotlight, is known and respected in open source communities, and gets even more satisfaction from growing other advocates than from giving the keynote themselves. As the Developer Advocate Manager for Open Source, you'll lead the team that advocates for the projects Databricks builds in the open, and serve as a crucial link between our engineering teams and the global community of practitioners building their careers on them. Your team's remit spans the Open Lakehouse — Apache Spark™ (including Spark Declarative Pipelines), Delta Lake, Unity Catalog, Apache Iceberg™, and MLflow — as well as Omnigent, our open source meta-harness for composing, governing, and sharing AI agents. As the original creators of Apache Spark™, Delta Lake, and MLflow, we hold ourselves to a high standard here: our credibility in these communities is earned continuously, not inherited. This role will leverage your expertise in building and scaling a developer relations team, and it will build on your standing within the open source world and your working relationships with the Apache Software Found
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is seeking a Senior Data Scientist to join the Marketing Analytics team to help build Rockstar’s marketing analytics & business intelligence capacity and our player experiences . Successful candidates will work with analytics and product leadership to ensure that the most relevant possible real-time and historical data is identified, tracked, analyzed, and made actionable across all of our web environments, across all game titles. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. We collaborate as a global team to develop cutting-edge data products, data models, reports, analyses, and machine learning applications. We create best in class data collection, developing actionable reports, and providing recommendations to our business and game stakeholders. Projects and tasks have direct influence on the player experience. RESPONSIBILITIES Collaborate primarily with our website partners to define and document measurement specifications and tracking requirements. Own relationships and communications with stakeholders to identify needs and translate those needs into actionable data analyses. Collaborate with and suppor
Job Details: Job Description: Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's oneCCL (Collective Communications Library). This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities. Key Responsibilities Communication Library Development Design, develop, and maintain advanced features and performance optimizations for oneCCL. Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability Implement and enhance communication protocols across multiple layers of the communications stack Cross-Functional Collaboration and Requirements Collaborate with cross-functional teams to define software requirements and technical specifications Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations Partner with hardware teams to optimize software-hardware integration for maximum performance Performance Optimization and Analysis Develop performance optimizations that improve communication latency and throughput Conduct comprehensive performance analysis and benchmarking across different system configurations Debug complex problems spanning multiple layers of hardware and software stack What You'll Work On Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's
SLSQ227R802 The Global GCP Cloud Alliance, Go-To-Market Strategy & Business Development team owns these three domains with one of our most strategic cloud partners. Reporting to the Global VP, Databricks on GCP Business Unit, and Go-To-Market Strategy & Business Development will recruit, hire and lead a team of highly talented individuals that are obsessed with helping data teams solve the world’s toughest problems with Databricks on GCP. The impact you and your team will have: Design, launch, and scale a comprehensive Databricks on GCP Go-To-Market strategy that accelerates customer business outcomes, grows Databricks consumption, and increases long-term commitments to our lakehouse platform. Define, build, execute and measure the ongoing performance of joint horizontal and industry vertical sales plays with Databricks, GCP, and C&SI Partners to unlock new sales opportunities. Enhance Databricks’ strategic relationship with GCP leaders and executives across product, sales, solution architecture, business development, and partner teams. Motivate GCP sales teams to adopt the Databricks Lakehouse paradigm for our mutual customers' most essential Data and AI initiatives. Unlock value for Databricks, GCP and our mutual customers by identifying, prioritizing and facilitating high value product integrations with GCP services Strengthen the Databricks & GCP alliance by accelerating GCP Partner Program and GCP Marketplace innovations Build a foundation for future growth to help us scale Databricks What we look for: 15+ years of experience in business development, enterprise sales, go-to-market strategy, consulting and product management with companies that are focused on SaaS, cloud computing, analytics, machine learning, artificial intelligence or similar technologies. 5+ years of experience building and leading high-functioning teams and delivering results through others 3+ years of GCP or extended ecosystem experience Ability to attract,
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Senior Data Scientist on the AI Research & Reliability team, you will be a driving force in shaping the future of Gong AI. You will act as a technical leader, working with cutting-edge LLMs, NLP, and machine learning to tackle our most ambiguous and complex customer problems. Working alongside Product, Engineering, and Data Scientist, you will spearhead the architecture, evaluation, and deployment of enterprise-grade AI capabilities at scale, while elevating the technical standards of the team. You'll Own The AI Technical Strategy: Lead the AI product lifecycle by partnering deeply with Product and Engineering to translate complex business needs into scalable, state-of-the-art AI solutions. Define the overarching AI approach, agent architectures, success metrics, and long-term technical vision before implementation. Advanced Agentic Sys
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Location Requirement This is a hybrid role based in Copenhagen, Denmark. Candidates must currently reside in Denmark or be willing to relocate independently, as relocation support is not provided for this position. Why we're hiring: About Data & Technology Solutions WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. What you'll be doing: Work with development teams to effectively use the existing Knowledge Graph Translate product and business requirements into graph-b
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Who are we and What do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketi
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. We are looking for a Field Application Engineer to serve as the technical bridge between Tenstorrent and customers across Southeast Asia. Based in Singapore, you will work closely with customers, partners, sales, and global engineering teams to understand AI and machine learning workloads, guide technical evaluations and deployments, troubleshoot issues across hardware and software, and help customers realize the performance of Tenstorrent’s AI platforms. This is a highly visible, customer-facing role that combines hands-on technical problem solving, solution development, and regional relationship building, with regular travel throughout Southeast Asia. This role is remote, based out of Singapore. 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 A customer-focused technical professional who can build trust with application developers, engineering teams, and business stakeholders. Comfortable translating complex AI/ML hardware and software concepts into clear recommendations for both technical and non-technical audiences. A proactive and self-directed problem solver who can coordinate internal teams, external service providers, and customer sta
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 The ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model & data pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots! About the Work Design and develop ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models. Develop and maintain continuous testing and monitoring systems for core ML infrastructure components. Develop observability to track ML model lifecycles from data generation to on-road validation. Maintain an in-house ML inference platform to serv
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 The ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model & data pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots! About the Work Design and develop ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models. Develop and maintain continuous testing and monitoring systems for core ML infrastructure components. Develop observability to track ML model lifecycles from data generation to on-road validation. Maintain an in-house ML inference platform to serv
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 You are a solution seller by nature, training, and experience, who is genuinely curious and confident initiating conversations with new prospects. You're a persuasive, driven self-starter with a hunter mentality who thrives on building pipeline from scratch through cold outreach. You have experience running multi-channel outbound motions (phone, email, social), selling SaaS (ideally productivity solutions), and engaging mid-size to large enterprise companies across a variety of industries. A majority of your time will be spent proactively opening doors: cold calling, running personalized email sequences, social selling on LinkedIn, and booking web conferences with prospects who haven't raised their hand yet. We expect high activity, an infectiously positive attitude, and the resilience to keep dialing when results aren't immediate. Our secret sauce is pairing relentless outbound effort with genuine value: helping people see how ClickUp solves real problems and stepping in to accelerate product-led growth. The Role: Run effective outbound prospecting campaigns including cold calls, cold emails, and social touches to generate new pipeline. Build and manage targeted prospect lists, research accounts, and identify key decision-makers. Represent our brand to customers at the start of their research journey. Schedule appointments and demos for new logo acquisition and expansion across the existing customer base. Serve as a product specialist on ClickUp products and services. This is a hybrid position in Dublin, Ireland Qualifications: 1-2 years relevant work experience in cold calling, outbound sales motions
Your challenge As a product consultant, you use your expertise in one of our supply chain planning domains to support our customer project teams. In cooperation with our product experts, you implement project-specific solutions and best practices within your domain of expertise, with a focus on bringing new global, cross-industry product developments to the market. You’re responsible for: Growing expertise in one of our core product functions: network design, demand management, S&OP, operational planning, scheduling, cloud, data management & integration, or value enhancers. Providing our solution architects with direct support within your specific product domain of expertise. Providing implementation consultants with specialist product support in the field of project delivery, documentation, and training across all OMP’s core industries. Solving customer-specific challenges related to your product domain, guided by our product experts. Briefing product managers on potential product differentiators and gaps in our product offering based on interactions with customers, implementation consultants and solution architects. Designing and building prototypes for specific customer problems on an occasional basis. About you Essential talents and qualifications: A Master’s or PhD degree in Engineering, Business Administration, Applied Economics, Mathematics, Computer Science, or similar. Great analytical skills and problem-solving abilities. A desire to take ownership of your projects. Strong affinity with IT systems. Basic programming skills. The flexibility to travel. Comfortable under deadlines and pressure. Bonus points if you have: 1 to 3 years of relevant working experience in supply chain planning or business software implementation. Affinity with mathematical modeling and/or machine learning techniques. Prior experience in one of our core industries. But most of all, you are fun to work with and a great team player! So
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