Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in
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We are looking for a Senior Director of Platform Engineering to lead the strategy, architecture, execution, and organizational development of our Platform Engineering function. This role is accountable for the foundational capabilities that enable engineering teams to build, deploy, operate, secure, and scale software efficiently and reliably. The Senior Director will own the evolution of our internal developer platform and shared engineering infrastructure, bringing together cloud, Kubernetes, CI/CD, observability, reliability, security, developer experience, and automation into a coherent platform strategy. The role requires a combination of deep technical judgment, organizational leadership, and platform product thinking, with the ability to operate effectively with senior engineers, engineering leaders, security, architecture, finance, and executive stakeholders. Key Responsibilities Define and own the multi-year Platform Engineering strategy, architecture, and roadmap , aligned with company and engineering objectives. Lead the evolution of the Internal Developer Platform , creating paved roads and self-service capabilities that reduce cognitive load and accelerate software delivery. Own strategic direction across cloud infrastructure, Kubernetes, networking, CI/CD, observability, reliability, Infrastructure as Code, platform security, developer tooling, and FinOps. Lead and develop a high-performing organization of Engineering Directors, Managers, Principal/Staff Engineers, and platform teams. Establish clear ownership, engineering standards, architectural principles, governance mechanisms, and measurable platform outcomes. Drive improvements in developer productivity, delivery performance, reliability, scalability, security, and infrastructure efficiency . Ensure platform services are designed for high availability, fault isolation, scalability, disaster recovery, and controlled blast radius. Own Security Engineering to embed secure-by-default, policy-as-code,
Salary Range: PLN 350,000 - 474,000 PLN Subject to alignment to the responsibilities and duties of the role About the job Help system software engineers do their best work while keeping delivery clear, focused and moving. As System Software Engineering Manager, you will support engineers in Graphcore’s Gdańsk office. You will manage career development, coach individuals and help the team work with clarity. You will also act as Scrum Master for the Drivers and Utilities team. You will facilitate planning, remove blockers and help engineers turn priorities into achievable delivery plans. This is a management and facilitation role, not a hands-on development position. Your low-level software background will help you understand the work, ask better questions and support the team effectively. The role sits close to system software, silicon and hardware development. That gives you real scope to connect people, improve collaboration and shape how delivery happens. The team and culture The Drivers and Utilities team builds custom host control software in Linux kernel and user space. Their work includes low-level C and C++ libraries and tools that help customers get more from Graphcore products. Work spans teams, disciplines and locations. You will help engineers in Gdańsk stay connected, supported and heard within the wider System Software group. Decisions are shaped through shared context, clear priorities and practical planning. You will work with the Product Owner, technical leads and Senior Engineering Manager to keep progress visible. What we’re looking for · Experience managing and developing software engineers through coaching, feedback and career conversations. · Practical experience as a Scrum Master or in a similar team facilitation role. · Ability to help teams plan realistically, remove obstacles and improve without adding unnecessary process. · Experience working alongside Product Owners and technical leads, with clear role boundaries. · Strong communicati
P-995 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. You will work with your team to build infrastructure and products for the Databricks platform at scale . We have multiple teams working on different domains. Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. The impact you will have: Hire great engineers to build an outstanding team. Support engineers in their career development by providing clear feedback and develop engineering leaders. Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). Work with engineering and product leadership to build a long-term roadmap. Coordinate execution and collaborate across teams to unblock cross-cutting projects. What we look for: 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc Extensive experience as a Software
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. What you’ll be doing: Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge. What we need to see: BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a relate
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the Role We are looking for a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI. In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production. What You'll Work On Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality. Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product. Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions. Form your own hypotheses, then design A/B tests that use real traffic to validate them. Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt. Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress. (Optional) Mentor junior scientists and interns, if the need arises. What We're Looking For (Minimum Qualifications) Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields At least 2 years of experience in machine lea
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're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the pa
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufact
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role We are looking for a Senior AI Data Operations Manager to own and run our end-to-end LLM model data creation pipeline from sourcing and managing vendors, to coordinating with engineering teams to evaluate model performance to closing the loop by creating targeted data for edge cases ensuring the data our models train on meets the highest quality standards. This role will manage the end-to-end AI data pipeline across 10+ AI features spanning multiple products on our platform This is a cross-functional operations role that sits at the intersection of ML, product, and operations management. You will be the connective tissue between our machine learning engineers, internal annotators, and external vendors, translating technical requirements into actionable data creation workflows and ensuring every batch of data that reaches our models is accurate, well-annotated, and fit for purpose. Critically, you will also drive automation across the pipeline, designing and deploying AI agents that eliminate manual bottlenecks and make the entire operation smarter over time. What you will do Own the full AI feature development lifecycle, from sourcing data to quality management and relationship building at scale. Design an
RDQ225R488 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Workspace Platform team is on an ambitious mission to scale our customer base 100x and support the future of agentic AI workloads. Our goal is to build a unified, consistent, and foundational Shared Platform for the entire Databricks Workspace experience. As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization (akin to Google Drive), Collaborative code editing, and Repository management (akin to Github). This is a high-impact, exciting opportunity to guide a team of ~20 software engineers in creating platform features, intuitive workspace experiences, and partner integrations that are essential to Databricks' expansion and user adoption. The impact you will have: Strategy & Vision : Define and drive the technical strategy for the Workspace Platform, including building over 16 shared capabilities that underpin the entire Databricks experience. Execution Ownership : Own the roadmap, execution, and delivery for the platform, ensuring all team deliverables meet the highest standards of quality and timeliness. Engineering Excellence: Establish and enforce team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations for high-volume distributed systems. Cross-Functional Collaboration: Partner closely with teams across the organization, including those developing vertical product experiences
At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Support sustaining engineering for existing products. Support development efforts on next generation products. Manage rapid prototyping efforts in machine shop. Develop CAD models and simulations in the designs of your responsible parts. Design fixtures and test set ups to validate designs. Document designs and test results. Draft drawings for all responsible parts and integrate into PLM. Experience 2+ years experience in Mechanical Design or related role. Strong fundamentals in mechanical engineering first principles. Experienced in CAD software (SolidWorks preferred). Experienced in using SolidWork PDM and PLM softwares (Arena preferred). Experience in Design for Manufacturing principles. Experienced in electronics packaging design. (Preferred) Experience in optics design cameras and/or lighting. (Preferred) Structural or thermal design and simulation experience. Bachelor's Degree in Mechanical Engineering or related technical discipline. Pay Range $130,000 — $170,000 USD Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, g
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations New York City About the Role Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to mi
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Seattle About the Role Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role As an Engineering Manager on the Assessment Platform team, you will lead the technical vision and execution for the systems that power the assessments on HackerRank. This includes giving candidates the ability to work on a real world application running on dedicated VMs with an online ADE built by HackerRank. Doing this for concurrencies of up to 100K candidates is a very interesting technical challenge. You will also partner with product teams across HackerRank to embed these solutions into every product, drive the team's roadmap, and build a high-performing, growth-oriented team that delivers scalable, resilient systems. What you will do Own the vision and roadmap for assessment platform, working closely with Product to shape priorities. Architect systems that reliably handle 100k+ concurrent users. Own delivery commitments and run the team's day-to-day execution using agile practices. Ensure operational excellence: reliability, incident response, security and privacy. Hire, mentor and grow engineers, and set clear career paths for each team member. Define how the team uses AI tools in development to improve quality and speed. Partner with Product, infrastructure and Security teams. Who you are 8+ years
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Charlotte OR Raleigh, NC About the Role Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free se
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