People.ai jobs

PM-T Mgr, Knowledge Products , ORBIT AI Products Bellevue, Washington, USA ORBIT AI Products team is building the intelligence layer that powers how Amazon plans, executes, and improves delivery operations at scale. Our products including AI-powered decision assistants , causal attribution systems (ORBIT), and automated executive briefing tools serve thousands of operators and leaders across the delivery network, compressing hours of manual analysis into minutes of AI-grounded insight. We are hiring Senior Product Manages - Technical to own critical domains within this portfolio. Key job responsibilities Own the enterprise knowledge platform that all AI and analytics products depend on. You will define the ontology (canonical metric definitions, causal relationships, taxonomies), scale the Knowledge Graph, and build the self-service tooling that enables product teams to onboard new knowledge domains without deep infrastructure expertise. When our AI assistant gives a specific, grounded answer instead of a generic one, it is because the knowledge layer you built made that possible. Lead the product strategy and a team of BIEs for the "what should happen" side of the portfolio the causal attribution systems that decompose metric misses into planning-driven root causes. Your team builds the attribution trees that power ORBIT's root cause analysis, "How to Solve" recommendations, and auto-generated executive briefings. This role combines hands-on product strategy with people leadership you set the vision and develop the team to execute it. • Enterprise ontology and Knowledge Graph: Defining and governing the metric definitions, causal relationships, and operational context models that ensure consistency across all

Sr. AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture Seattle, Washington, USA Are you passionate about using data science to transform how businesses understand and optimize customer interactions at scale? Do you want to build the models and analytics that power the next generation of AI-driven customer experiences while working directly with customers to accelerate production deployments? As a Senior Applied Scientist within the Applied AI Solutions team, you will collaborate across AI Velocity Teams (AIVT), enabling multiple customer engagements simultaneously. You will lead data science initiatives that span the full lifecycle - from identifying high-value business problems and formulating hypotheses, through rigorous experimentation and modeling, to deploying production-grade solutions that serve thousands of customers. You will bring deep expertise in statistical inference, machine learning, and experimental design to drive measurable impact across Amazon Connect's analytics products and broader Connect AI initiatives. A critical dimension of this role is working directly with customers during production pilots to accelerate time-to-value. You will partner with Applied AI Solutions Architects and Customer Success Specialists to design, build, and deploy AI solutions in customer environments during fixed deployment cycles. You will enable field teams with data-driven insights, reusable analytical assets, ROI tools, and scalable tooling that accelerate customer engagements and solution delivery. Your work will directly influence customer decisions to adopt Connect Customer AI by quantifying business outcomes and demonstrating measurable value. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with applied scientists, software

Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers Seattle, Washington, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job

Director of Product Management, Tableau AI Washington - Bellevue; California - San Francisco Role Overview Tableau, a Salesforce company, is looking for a Director of Product Management to join our Tableau Cloud & Server AI product team. In this individual contributor role, you'll be at the forefront of building AI-powered data experiences - shaping the future of how people interact with data through conversational AI and intelligent analytics. You'll own products from concept to launch, working closely with engineering, design, marketing, and sales to deliver world-class experiences. This is a high-impact, high-visibility role for a product leader who thrives in fast-moving environments, thinks big, and knows how to get things done. What You'll Do Define and drive product requirements - Write clear, compelling PRDs that align cross-functional teams and move products from 0 to 1 Lead with data and AI - Define and manage AI evaluations (Evals) to measure quality and product readiness. Leverage data to make decisions about the feature. Partner on GTM - Collaborate with Marketing on go-to-market messaging, positioning, and launch planning Engage customers and field teams - Present product vision and roadmap to customers and partner with account teams to gather feedback and drive adoption Run effective scrum ceremonies - Facilitate sprint planning, standups, and retrospectives to keep engineering teams unblocked and moving fast Champion the customer - Synthesize insights from customers, partners, and market research to inform product priorities Required Qualifications 10+ years of product management experience, with a strong track record of shipping impactful

Applied Scientist II, Ads AI Core Infrastructure Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering AI-powered solutions that transform how advertisers make strategic decisions. We deliver billions of ad impressions and process massive volumes of advertiser data every single day. You'll work with us to pioneer breakthrough approaches in how AI agents access and reason over real-time advertiser data at scale. We are using generative AI and agentic systems to help advertising agents provide instant, strategic advice to millions of advertisers. You will need to invent new techniques for agent orchestration, context optimization, and code generation to ensure we're delivering accurate, trustworthy insights with minimal latency and token consumption. You'll create feedback loops to ensure our solutions are constantly evaluating themselves and improving. The Ads Real-Time Data Service team is seeking an exceptional Applied Scientist to research and develop novel approaches for agent-data interaction. The Ads Real-Time Data Service team is solving one of the most critical challenges in advertising AI: instant access to advertiser context. We're building the infrastructure that provides immediate, pre-computed access to advertiser data via Model Context Protocol (MCP) servers-an emerging standard for AI agent-data interaction. We're building summarized data for context using a mix of state of the art techniques like CodeAct and RAG-based embeddings, achieving a fundamental transformation in how AI agents interact with data. This role balances applied research (60%) with productionization (40%), giving you the opportunity to both advance the

AI Advocate, Cloud AI, Greater China (English, Mandarin) Taipei, Taiwan In this role, you will write sample code and client libraries as well as participate in developer forums and support queues to troubleshoot and debug coding problems developers encounter. You will work with product engineering teams to improve the products by conveying feedback from developers, reviewing API designs and testing new features. You will drive strategy around promoting a community of developers who work with Google AI technologies. You will represent them internally to the Engineers and serve as their Google support in application development and technology implementation. Collaborate with cross-functional teams to manage product engagement and identify user needs. Attend or facilitate conferences and events to gain and share insights on user experience and technologies. Lead developer programs and act as an authority in the domain. Contribute input and feedback on products or programs, and represent the interests of partners to internal stakeholders. Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. 5 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience. 5 years of experience in one or more general purpose programming languages (e.g., Python, Java, C++, Go) with a focus on Machine Learning or Gen AI applications. Ability to communicate in Mandarin and English fluently to engage with local stakeholders. Preferred qualifications: 5 years of experience with the developer ecosystem and engaging with local technical communities in Greater China. 5 years of

Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) Bellevue, Washington, USA The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create-from novel safety mechanisms to sophisticated evaluation techniques-shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This

Agentic AI Test Engineer NJ - Mount Laurel, 1800 Bishops Gate posted: Posted 30 Days Ago

AI Engineer / Architect-IFS Cloud 4 Locations posted: Posted Yesterday

Senior Partner Solutions Architect - Migration & AI Acceleration , Partner Solutions Architecture Bangkok, THA AWS is where innovation, risks, and ideas are celebrated. We are builders, we try new things, and imagine big dreams. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, testers, and doers. Come join us and work with the latest cloud technologies that enable our customers to adopt cloud-based solutions. THE ROLE You will collaborate with a diverse partner community-including distributors, traditional system integrators, born-in-cloud partners, and AI-native partners-alongside other AWS teams to build architectures, proof of concepts, and demonstrations of AWS services by working backwards from their customers' business needs to accelerate the adoption of appropriate AWS technology. A key focus of this role is accelerating both migration and AI transformation through partners. You will drive large-scale migration initiatives while simultaneously building and scaling an Agentic Platform that empowers partners to deliver AI-driven, autonomous solutions to their customers. You will help shape and design partner solutions covering a spread of domains from migration of core applications and workloads to working with GenAI, Agentic AI, AI/ML, microservices, containers, app development, IoT, and more. Being able to continuously expand your technological knowledge-particularly in migration methodologies and emerging agentic and autonomous AI capabilities-and having an interest in designing industry-applicable architectures that demonstrate business value are essential for this role. PARTNER COMMUNITY MANAGEMENT You will be responsible for managing and scaling relationships across multiple

Machine Learning Engineer, Alexa AI Boston, Massachusetts, USA The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference. As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment. Responsibilities- - Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. - Work closely with Applied scientists to process data, scale machine learning models - Will work in an Agile/Scrum environment to deliver high quality software. About the team Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is

AI Content Strategist, Google Play, Apps GTM Bengaluru, Karnataka, India Google Play is providing the apps that people use to live, work, and connect every day. The team provides the users with curated content and recommendations on the Play store to help solve problems, edit photos, track fitness, or even track birds in their local community. The team is leading the future of app discovery by leveraging AI tools, and generating personalized content for users. The Apps Go-to-Market (GTM) team impacts users every day by creating content that is informative and engaging for the audience. In this role, you will drive the overall content strategy for multiple Play-created content work-streams. You will be responsible for writing the rules for how AI creates content. You will own the back-end content infrastructure of the proprietary content tools, creating the system prompts, tone guidelines, and evaluation frameworks that power the entire experience. You will guide a team of content specialists and operational leads, orchestrate trending features, and ensure the Play organization adopts the AI tooling. Manage back-end AI content systems. Define and iterate system prompts, evaluation criteria, and guidelines to ensure all outputs meet Google's quality standards. Drive annual strategy and performance goals, aligning content velocity with growth and business goals. Partner with product, engineering, and user experience to deliver user-centered content experiences. Lead AI training and prompt iteration. Collaborate with multi-format leads to prototype and launch AI-motivated content formats. Collaborate with regional leads to secure premium features. Orchestrate placement for trending content

Principal Technical Program Manager, WHS Data-Tech Bellevue, Washington, USA We're building AI and computer vision systems that protect over 1.5 million people at work every day, and we need a senior technical leader to drive this mission forward. As a Senior Technical Program Manager on our Workplace Health & Safety Data-Tech team, you will own the strategy and delivery of large-scale programs that apply computer vision, machine learning, and generative AI to detect, analyze, and prevent workplace safety incidents across Amazon's global operations. You'll partner with applied scientists and software engineers to take research from prototype to production, define the technical roadmap, and deliver measurable safety outcomes. This role is for someone who thrives in ambiguity, has deep fluency in AI/ML systems, and can lead multiple engineering and science teams through complex technical challenges. You'll influence investment decisions, author organizational strategy documents, and communicate directly with senior executives. If you're passionate about using technology to make people's lives safer, and you love the intersection of advanced science and real-world impact, this is the role for you. Key job responsibilities - Own program strategy, roadmap, and end-to-end delivery for computer vision and AI-powered safety initiatives spanning multiple engineering and applied science teams - Partner with applied scientists and ML engineers to translate research into production-grade systems, managing the unique complexities of model development, validation, and deployment at scale - Define and manage technical dependencies across computer vision pipelines, edge inference infrastructure, IoT systems, and cloud services - Identify risks early, develop

Senior Generative AI Strategist, Generative AI Innovation Center SGP Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on partnering with customers to enhance their business or operational outcomes through the use of advanced and emerging technologies. You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role. Key job responsibilities - Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way - Discuss complex industry-specific business concepts with executives, line managers and technologists - Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organisations

Staff Research Data Scientist, Search Ads AI Monetization Mountain View, CA, USA Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback

USE OF AI IN OUR HIRING PROCESS Use of GenAI In The Hiring Process

Embedded Software Development Engineer II, Baseboard Management Controller Cupertino, California, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The AWS Firmware team drives system innovation in the servers used by all of Amazon Web Services, including EC2, S3, CloudFront, etc. Our engineers

Senior Customer Facing Applied AI Engineer 3 Locations posted: Posted 30+ Days Ago

Corporate Marketing Associate Analyst - [장애인채용, People with disabilities] Korea, Republic of - Seoul Role Description: Overview We are looking for a thoughtful and data-driven Digital Marketing Specialist to join our vibrant Korea Marketing team. In this role, you won't just be looking at numbers; you will be the "connective tissue" that helps us understand our impact and tells the story of our growth. This is a special opening dedicated to Persons with Disabilities (PwD). We believe that diverse perspectives make us stronger, and we are committed to providing an environment where you can bring your authentic self to work. You will play a key role in accelerating our digital growth engine through AI-driven analytics and robust data governance, all while working alongside a supportive team that values your unique contribution. Your Impact: Responsibilities At Salesforce, we believe in "Doing Well by Doing Good." Your daily journey with us will involve: Nurturing our Data Foundation: You'll help our marketing teams speak a shared language by designing and managing standardized UTM conventions. Think of it as keeping our digital "library" organized so every story we tell is accurate and consistent. Bringing Data to Life: Using Tableau, you'll design beautiful dashboards that translate complex signals into high-impact narratives for our leadership. You'll help us see where we are succeeding and where we can grow together. Innovating with AI: You'll be at the forefront of the AI era, using tools to optimize our content and automate workflows. We want you to experiment and

Sr Manager, Amazon Quick Product Marketing Seattle, Washington, USA Amazon has a track record of inventing category-defining products that change how people work. We did it with AWS, Alexa, and the Kindle. Now we're doing it again with Amazon Quick: an agentic AI assistant that is redefining the enterprise productivity category. Amazon Quick changes how you work. It connects across every business system and productivity tool to deliver insights that were previously unattainable and produce business deliverables on behalf of users. Unlike tools that live inside a single vendor's ecosystem, Quick works well regardless of what systems you're using or data types you have. It understands work context at a personal, team, and organizational level so it knows what matters most, and takes personalized action on behalf of users, all built on AWS with the enterprise security and governance customers already trust. We're looking for a Sr. Manager to lead the Quick Product Marketing team. This is a people-manager role: you will build, develop, and inspire a team of product marketers while owning the Quick brand and go-to-market strategy across both our product-led growth (PLG) motion and our sales-led enterprise motion. Quick is scaling fast, backed by meaningful investment and senior executive visibility. This is a chance to define and lead marketing for a flagship AI product at Amazon. About the Role As the Sr. Manager of Product Marketing for Amazon Quick, you will lead the team responsible for positioning, messaging, and go-to-market strategy for our AI assistant. You will

Engineering Software Manager (Secure Agentic AI) Office - Israel - CyberArk Petach Tikva posted: Posted 2 Days Ago

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Sr.Product Manager - Tech Bengaluru, Karnataka, IND At Amazon, we're working to be the most customer-centric company on earth and carry products that our customers want and enjoy, while ensuring that customers are safe and get safe products from Amazon. To get there, we need exceptionally talented, bright, dynamic and driven people. If you'd like to help us build an environment where our customer's safety is paramount, where we enable our customers to find and buy anything online, and where we ensure that we maintain and enhance customer trust on Amazon, then this is your chance to be part of a challenging and strategic initiative. We're looking for a strong Senior Product Manager - Technical to join our team in Bangalore, India. This role requires exceptional technical depth in Generative AI, as you'll partner with Applied Scientists and Engineering teams to build next-generation AI-powered compliance and safety solutions. You should have strong technical problem-solving skills, product management expertise in AI/ML domains, excellent communication skills, and deep understanding of how to evaluate, deploy, and scale LLM-based systems in production environments. You should also possess the ability to influence people across the organization from tech leadership to business managers by creating win-win solutions, and the desire to be an individual contributor driving Amazon's next generation of AI-powered safety technology. This role will report into the global product team that enables Trustworthy shopping experience at Amazon and ensures Safety and Compliance across Amazon stores. A primary focus of this role is defining the