SPX Technologies INC jobs

Aftermarket Account Manager Building the people that build the world. With platforms in HVAC and Detection and Measurement, SPX Technologies builds innovative solutions that enable a safer, more efficient, sustainable world. Through our RiSE talent development framework, we Reach, Identify, Strengthen, and Engage our employees to support them in their continued development. We're a global company of problem solvers, collaborators, and innovators, and our businesses build solutions that impact the world. As part of HVAC Cooling, SPX Cooling Technologies is a leader in high quality industrial HVAC equipment used to cool large facilities like hospitals, data centers, and power plants. With cooling towers, fans, and refrigeration units, companies rely on brands like Marley, Recold, and SGS to provide comfort and mission critical and industrial cooling solutions. How you will make an Impact (Job Summary) SPX is a diverse team of unique individuals who all make an impact. As an Aftermarket Key Account Manager, you will build relationships with Marley's top customers, to implement key corporate initiatives and achieve revenue growth targets in the given account base. The Marley Aftermarket Parts Group is imbedded in all products and channels that SPX and Marley serve and is a critical component of SPX's success across its cooling markets. The person will facilitate information between SPX and the key accounts, engaging in their product, service, and technical support needs. The incumbent will meet with customers to discuss product solutions and service programs that fit their operation and improve their productivity. Additionally, the account manager

Software Development Manager, Seller Assistant, SPX Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Software Development Manager to help build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists, engineers and stakeholders to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. About the team Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce - not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer-obsessed company, he latest breakthroughs in science and engineering into capabilities that sellers rely on every day Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - 3+ years of Software Engineer, Software Developer, or related occupational experience - 1+ years

Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX AI Lab team is building the AI capabilities powering the Selling Assistant, Amazon's conversational assistant experience for Selling Partners. The Selling Assistant is a trusted partner and a seasoned advisor that's always available to enable our partners to thrive in Amazon's stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, agentic and personalized experience to sellers running real businesses, large and small. Do you want to join an innovative group of scientists, engineers, and product managers who use advanced analytical, statistical, and machine learning techniques to help Amazon create a delightful Selling Partner experience? Are you excited about uncovering insights from massive-scale data, measuring the impact of AI-driven features, and shaping product strategy through rigorous analysis? Do you want to be part of one of Amazon's most strategic initiatives to understand and improve seller experience? If yes, the SPX AI Lab may be the perfect fit for you. Key job responsibilities -- Respond to Seller

Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists, product managers and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities -- Respond to Seller feedback and implement fix in Gen AI solution to enhance Seller experience -- Drive deep-dive analytical studies to understand seller pain points, evaluate feature performance, and identify opportunities to improve the Selling Partner experience. -- Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi-experiments, and observational causal methods (e.g., diff-in-diff, synthetic control, propensity score methods). -- Develop scalable analytical pipelines for impact measurement, KPI development, metric integrity validation, and long-term business monitoring. -- Apply NLP and statistical modeling techniques-including topic modeling, clustering, semantic similarity, and classification-to uncover insights from unstructured seller interactions, feedback, and content. -- Partner with scientists, engineers, economists, and

SPC Engineer Leominster | MA (United States)

Sr Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines Seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Senior Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientist, engineers and product teams to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities • Own the science vision, strategy, and roadmap for a key Seller Assistant capability area. • Define and ship agentic experiences - sub-agent onboarding, tool onboarding, evaluations- that solve hard seller problems at scale. • Partner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on. • Design rigorous evaluation frameworks - automated and human-in-the-loop - to measure agent quality, accuracy, and business impact. • Deep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team. • Drive cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality. About

Applied Scientist, SPX AI Lab Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Amazon Seller

Floor Trader- SPX Chicago, IL About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker - meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models. Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world - Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore. What you'll do as an SPX Floor Trader at Akuna: We are seeking a Floor Trader to join Akuna's Equity Indices team in the SPX pit on the CBOE floor. The ideal candidate will be a highly motivated individual interested in supporting our team coverage and competing in the marketplace. Candidates must possess working relationships inside of and strong familiarity with the S&P500 complex of options. As a part of Akuna's SPX team, you will make markets on options for brokers using our proprietary pricing and execution software custom-designed for use on your trading tablet. Whether being first to make a market or removing liquidity on a resting order, the opportunities you identify and execute on in the marketplace will be immediately represented in the team's P&L. You

Firmware Engineer, SPX Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do As a Firmware Engineer, you'll focus on AMI SPX-based BMC firmware development for GB200 server platforms. You'll collaborate with cross-functional teams to develop, enhance, and optimize embedded firmware modules that power CoreWeave's large-scale data center deployments. Key Responsibilities - Develop & Maintain: Contribute to the design, implementation, and testing of BMC firmware in AMI SPX environments using C. - Integrate: Work cross-functionally with hardware, software, and QA teams to ensure seamless firmware-hardware integration. - Debug & Optimize: Perform issue triage, root-cause analysis, and implement bug fixes and performance improvements. - Testing & Validation: Conduct firmware validation across multiple hardware revisions and test environments. - Document: Produce clear and maintainable documentation for code, configurations, and testing procedures. - Collaborate & Learn: Work alongside senior engineers to expand your expertise in firmware stack design, Redfish, and system-level architecture. Who You Are Minimum Qualifications - 2+ years of Hands-on experience with AMI MegaRAC/SPX firmware. - 2+ years of professional

Sr. Software Engineer (Financial Software) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. APPLICATION SOFTWARE ENGINEER (FINANCIAL SOFTWARE) The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. Our team is currently creating and evolving systems to enable rapid build and reuse of Starship as well as designing the next generation manufacturing software that will be used in high throughput factories for Starlink. Other applications range from platforms that support concurrent streams of data from many always-on assets to manage the world's largest satellite constellation to public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring

Sr. Software Engineer (Platform Team) Palo Alto, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. SOFTWARE ENGINEER (PLATFORM TEAM) The Platform Team builds the foundational tooling and security infrastructure that empowers every team at SpaceX to harness AI effectively. This team creates secure, scalable gateways and proxy systems that allow engineers and operators across the company to write code faster, perform advanced data analysis, connect AI to their daily tools and problems, and turn ideas into deployed solutions with confidence. By onboarding new frontier models, expanding compute capacity, optimizing proxy efficiency for logging and control, and building shared prompts, skills, and infrastructure, this team unlocks reliable, high-impact AI capabilities across the entire organization. As a Sr. Software Engineer for SpaceX's AI platform , you will be a key technical leader and entrepreneurial builder focused on the leanest and most effective applied use of AI at SpaceX. You will design and scale platforms that convert engineering know-how into tested software, automation, and reliable data stores at company scale while creating risk-mitigation tools such as intelligent code review and PR assistants. Current systems are built with Docker containers acting as secure gateways and proxies that integrate with any cloud compute provider and multiple frontier model providers. Your work will directly accelerate

Sr. Software Engineer, Computer Vision Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. SOFTWARE ENGINEER, COMPUTER VISION We are looking for exceptional, driven, adaptable, and resilient senior software engineers who are technical leaders and experts in artificial intelligence (AI), machine learning (ML), and computer vision. As a software engineer on the NDE & Materials Software team, you will accelerate the quality, speed, and efficiency of manufacturing processes at SpaceX by owning end-to-end solutions - from model development to production deployment and monitoring. Our team is building the next generation of in-process monitoring tools for SpaceX as we develop the Starship, Raptor, and Starlink programs. We deliver high-impact solutions through advanced AI models and scalable simulation with a focus on non-destructive evaluation (NDE) and materials engineering applications. As a technical leader, you will guide the team in applying cutting-edge AI to these manufacturing challenges. RESPONSIBILITIES: - Lead computer vision model development and deployment for real-time inspection and automated defect recognition in production-scale manufacturing - Architect and implement pipelines for scalable model training, evaluation, deployment, monitoring, and retraining using industry-standard tools like Ray Train/Serve, Kubeflow, Airflow, or equivalent - Develop software to integrate hardware, sensors, and tooling (including sensor fusion) with AI-driven process monitoring systems - Build and optimize data

DevOps Consultant Singapore About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The role We're looking for experienced Deployment Lead / DevOps Consultant to join our customer-facing teams, serving as the critical bridge between PhysicsX and our customers. In this role, you'll be responsible for owning the end-to-end deployment of our platform into diverse, customer-owned infrastructure environments. You'll work closely with customers to understand their unique requirements, constraints, and environments, whilst ensuring seamless platform adoption and deployment success. This is a hands-on technical role that combines deep infrastructure expertise with strong customer relationship skills. You'll be a trusted advisor who guides customers through complex deployments whilst collaborating internally with our platform teams to ensure our platform meets real-world deployment challenges. What you'll do - Partner directly with customers to assess their infrastructure requirements, security constraints, and deployment preferences, serving as the primary technical point of contact throughout the deployment lifecycle - Build and maintain strong relationships with customer technical teams and stakeholders - Gather customer feedback and requirements to inform

Sr. Software Engineer, Additive Manufacturing (Raptor) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. SOFTWARE ENGINEER, ADDITIVE MANUFACTURING (RAPTOR) We are looking for good people and driven, adaptable, resilient software engineers with experience developing software to accelerate quality, speed, and efficiency of manufacturing processes at SpaceX. Our team is building out the next generation of software for metal 3D printing. In this role, you will be developing the core software operating our additive manufacturing machines. Your scope will span controls, data acquisition, build logic, infrastructure, and in-situ monitoring. Your software will literally turn design into reality, and directly impact the most advanced rocket engines in the world. You will also contribute to the best in class in process monitoring solutions for data collection and automated analysis. You will be responsible for the future of manufacturing at SpaceX. RESPONSIBILITIES: - Architect and develop software for an advanced, production-scale metal 3D printing system and the infrastructure required to verify them - Collaborate with automation and controls engineers to connect software to motion and control systems - Work with our additive manufacturing, production, and engine design engineers to develop and maintain additive software, crossing all required domains necessary to improve printed hardware outcomes via software and hardware changes - Develop production-ready

Associate - Technology (Technology Asset Manager) New York posted:

Principal Software Engineer - Engineering Applications London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation. Engineering Applications make PhysicsX's AI platform usable by engineers in their daily work. The product group creates workflows and interfaces that span the engineering lifecycle, from design through manufacturing to operations, enabling engineers to harness AI capabilities. The suite ranges from ready-to-use applications that ship with the platform for engineers to use directly to a composable set of extensible components for teams who need to go further. Engineering Applications ensure that impactful AI capabilities are accessible to customers at scale. What you will do - Engage with product managers, designers, and users of Reference Applications to fully understand the what

Lead Software Engineer, Application Software (Silicon Manufacturing) Bastrop, TX SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. LEAD SOFTWARE ENGINEER, APPLICATION SOFTWARE (SILICON MANUFACTURING) The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. Our team is currently creating and evolving systems to enable rapid build and reuse of Starship as well as designing the next generation manufacturing software that will be used in high throughput factories for Starlink. Other applications range from platforms that support concurrent streams of data from many always-on assets to manage the world's largest satellite constellation to public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. We are looking for a hands-on, creative, and driven Lead Software

Sr. Embedded Software Engineer (Starlink) Bastrop, TX SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. EMBEDDED SOFTWARE ENGINEER (STARLINK) Starlink is the world's largest satellite constellation and is providing fast, reliable internet to millions users worldwide. We design, build, manufacture, and operate all parts of the system including thousands of satellites, hundreds of gateways, and millions of customer kits. Our customers currently include teachers in the most remote parts of the Amazon, researchers in Antarctica, digital nomads who travel via RV, emergency responders, commercial airlines, cruise lines, and residential users who live in more rural or developing areas. While users can get online within minutes almost anywhere in the world, we've only begun to scratch the surface of Starlink's potential. We are looking for best-in-class engineers to help maximize Starlink's utility for individuals, communities, and businesses. Below are just some of the focus areas for software teams on Starlink: - Develop software running on custom hardware that is deployed to millions of devices around the world - Create infrastructure and tools for rapid and reliable deployment of our code to our customers no matter where they are - Write software for Starlink's custom phased array and modem silicon - Radically improve the user experience of satellite internet - Develop a

Full Stack Software Engineer San Francisco Bay Area, CA Construction is the second-largest industry in the world-nearly 4x the size of SaaS-yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste. Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton. Doxel's automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow. Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. Join us as we continue our journey to transform the $15T Construction Industry! Construction is the second-largest industry in the world-nearly 4x the size of SaaS-yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late,

Director, Product Engineering Remote Construction is the second-largest industry in the world-nearly 4x the size of SaaS-yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste. Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton. Doxel's automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow. Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. Join us as we continue our journey to transform the $15T Construction Industry! Construction is the second-largest industry in the world-nearly 4x the size of SaaS-yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion

Staff Solutions Engineer - API Platform United States About NexHealth Our healthcare system remains frustratingly analog. When you live in a world of one-tap car rides, instant meal delivery, and unlimited streaming, why do you still have to call to schedule a doctor's appointment and fill out a clipboard in the waiting room? NexHealth's mission is to accelerate innovation in healthcare by connecting patients, providers, and developers. We're building the infrastructure layer for modern healthcare, connecting thousands of fragmented, on-premise, and closed EHR systems into a single, modern platform that powers software, APIs, payments, and patient experiences across the ecosystem. - Founded: 2017 - Headquarters: San Francisco, CA - Funding: $177M Series C - Employees: 200+ - Trusted by tens of thousands of providers and hundreds of health-tech developers - forging the infrastructure layer that modern healthcare needs About the Role The Synchronizer API is the strategic core of NexHealth. The SaaS product was the wedge that gave us deep integration with thousands of practice management systems - the API is what we built that wedge for, and it's where the next decade of the company gets built. This role exists to scale that. You'll be the founding senior Solutions Engineer on the API team - the technical anchor on our most important enterprise opportunities and the person who makes it possible to land them. In this role, you will: - Anchor our most strategic enterprise opportunities : partnering with Enterprise Sales across discovery, scoping, technical design, and implementation on

Applied Scientist II, Business Data Technologies Bengaluru, Karnataka, IND RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the

Head of Systems Operations San Francisco, California, United States About the Team The Employee Technology Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. Within ETX, the SysOps team sits at the center of critical internal platforms and operational workflows. The team owns a broad portfolio spanning identity systems, endpoint management, SaaS administration, infrastructure automation, enterprise tooling, and internal technical operations. We partner closely with Security, Engineering, Workplace, Finance, People and other cross-functional teams to ensure internal technology is fast, reliable, and scalable. We are focused on building modern internal operations through automation, self-service, and AI-enabled workflows that reduce friction and create leverage across the company. About the Role We are hiring a Head of System Operations to lead a high-impact technical operations organization. This leader will be responsible for running the SysOps team, creating clarity across a broad remit, improving operational performance, architecture and building the future of how internal systems are delivered in the age of AI. This role requires a strong operator who can organize complex work, set priorities, drive accountability, and continuously improve how the team functions. You will serve as the connective tissue across multiple technology domains while ensuring the team is focused on the highest-impact work. You should be equally comfortable leading people, improving operational processes, and engaging deeply with technical systems. The role is ideal for someone

Applied Scientist II, RBS Tech Bengaluru, Karnataka, IND RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results