Clearly AI jobs

AI Principal Product Manager-Technical, Alexa Responsible AI Bellevue, Washington, USA Define What Trustworthy AI Looks Like at Amazon's Scale Alexa+ is Amazon's next-generation, generative AI-powered assistant - and trust is its most important feature. As the AI Principal PMT for Alexa Responsible AI, you won't just manage a product roadmap - You will define the standard for how one of the world's most widely used AI systems earns and keeps customer trust across every language, culture, device, and interaction. This is a role for a product leader who thinks systematically, moves fast, and has the conviction to make hard calls when the stakes are real. The Mission Responsible AI isn't a compliance checkbox. It's a product discipline and you will own it. You'll define the customer experience for safety guardrails, trust signals, and evaluation frameworks that determine whether Alexa is earning or eroding customer confidence. You'll make the go/no-go calls on features that affect millions of daily interactions - with the data, the customer story, and the scientific grounding to back every decision. What You'll Own Product Vision & Strategy In today's AI landscape, strategy is written in weeks, not years. You'll set a bold, adaptive product vision for Responsible AI - defining near-term priorities with urgency while keeping a clear eye on where the technology and the customer need are heading. You'll author crisp vision documents that align science, engineering, policy, and legal teams around a shared north star for customer trust. You'll establish the KPIs that measure trust

Agentic AI Engineer Bangalore, Karnataka, India posted: Posted 30+ Days Ago

Commercial Associate, Physical AI New York | OnSite About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role Encord is scaling rapidly. We've achieved strong product-market fit and have a clear path to significantly accelerate revenue this year. In Physical AI alone, we've grown revenue 10x over the past 12 months - and we're just getting started. Now, we're looking for exceptional sales talent to help build and scale the Physical AI business from the ground up. Reporting to the Head of Physical AI and partnering closely with our founders and leadership team, you'll take a category-defining AI infrastructure platform to market - selling to some of the most advanced AI teams in the world as we expand from Digital into Physical AI use cases. This is a high ownership, individual contributor role with a path to grow responsibilities from sourcing to supporting on deals and progressing into owning full cycle sales. This is not a traditional BDR role. You'll be an early sales hire with real ownership across the top and middle of the funnel. You'll help shape how

Principal Machine Learning Engineer, Agentic AI Remote-USA posted: Posted 30+ Days Ago

Senior AI Engineer USA - IL (Remote) posted: Posted 29 Days Ago

On-Site Service Engineer – AI Data Center - Childress TX Lubbock, TX, United States of America Lubbock, TX, United States of America What success looks like in this role: Unisys Corporation is seeking an experienced On-Site Service Engineer (OSE) to support enterprise data center and server environments , including next-generation AI platforms. This is a hands-on, customer-facing role focused on maintaining uptime, resolving complex hardware issues, and delivering outstanding on-site service. Prior AI experience is not required-strong data center and server fundamentals are what matter most. Provide on-site support for Dell server and data center systems, ensuring rapid issue resolution and minimal downtime Perform hardware maintenance including server builds, swaps, component replacements, and firmware updates Troubleshoot system issues across hardware, firmware, and operating systems, escalating when appropriate Support both reactive and preventive maintenance following established procedures Collaborate with internal teams and customers during service events to ensure clear communication and resolution Document work performed and contribute to shared knowledge and best practices Participate in on-call rotations and support extended coverage when needed Experience supporting servers or data center hardware in a field, enterprise, or customer-facing environment Hands-on skills with server components (CPU, memory, power supplies, GPUs, etc.) Familiarity with Linux or similar operating systems Strong troubleshooting and problem-solving abilities Comfortable working independently on-site and communicating clearly with customers Willingness to learn and support emerging technologies, including AI platforms You will be successful in this role if you have: 3-5+ years of experience in technical support, field service, or data center

Software Engineer (Agentic AI) Toronto, ON, CAN posted: Posted Yesterday

Sr AI Editorial Lead (Portuguese), AI Shopping, International London, England, GBR The AI Conversational Shopping team is looking for an Sr AI Editorial Lead to drive its efforts in delivering a seamless, fluent, and locally-relevant experience for AI-assisted shopping in new marketplaces and languages. This is an opportunity to join the high-performing team behind Rufus and Amazon's Generative AI broader shopping initiatives. Our objective is to make it easy for customers worldwide to find and discover the best products, meet their unique needs with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams, to support evaluation, automation and curation efforts in the AI development process. This role requires bilingual fluency in English and Portuguese, exceptional writing and communication skills in both languages, excellent judgement, strong interpersonal skills, deep curiosity about how things work in the AI space, and a passion for serving customers. You must enjoy context-switching and partnering at all levels of the organisation to deliver results. This is an opportunity to gain valuable experience in AI and its application in diverse business settings. We are looking for candidates who are passionate about the intersection of language and technology and who are keen to learn and innovate in the field of artificial intelligence. A successful candidate will thrive in ambiguity and care deeply about curating experiences for customers with content that is clear, concise, and relatable.

AI Specialist (all genders) Munich, BY, Germany Company Description: Job Description: As an AI Specialist, you will join our newly launched Roland Berger AI Lab , where we design innovative and scalable GenAI solutions to create tangible impact for our clients and ourselves. Our mission is to rapidly and securely scale our expertise across clients and within Roland Berger. In this role, you will design and implement advanced AI solutions for both client and internal applications while collaborating with the AI team to tackle real-world business challenges. Your expertise will be crucial as you write clean, maintainable code to ensure scalable AI and machine learning solutions. Utilizing tools like Python, Databricks, SQL, Docker, and LangGraph, you will develop multimodal agents and automate workflows. You will also establish the necessary tooling and infrastructure for deploying AI models on platforms such as Azure, AWS, or GCP. Thorough documentation of processes is essential, as you will present your findings to stakeholders and clients, ensuring clear communication and understanding. Staying updated on the latest advancements in data science and generative AI will empower you to drive innovation within the organization. If you're ready to make a significant impact in the AI landscape, we are looking forward to hearing from you! Qualifications: University degree with excellent academic achievements in a quantitative or technical field Minimum 2-3 years of relevant professional experience Experience or touchpoints in consulting (e.g., project work, client interaction, or consulting methodologies) Experience with generative AI models/frameworks and MLOps tools Understanding of modern

AI Machine Learning Engineer 4 Locations posted: Posted Today

Python with AI Engineering - Vice President PUNE, Mahārāshtra, India

Enablement Manager, AI Agent United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: As the Enablement Manager, AI Agent , you'll be responsible for enabling Cresta's go-to-market teams to successfully position, sell, and deploy our AI Agent product with confidence and consistency. This role sits at the intersection of product, sales, and applied AI-translating complex AI Agent capabilities into clear value, practical use cases, and repeatable sales motions for large enterprise customers. You'll work closely with Product, Product Marketing, Sales Leadership, and RevOps to build enablement programs that ensure sellers deeply understand how Cresta's AI Agents work, where they deliver the most impact, and

Senior AI ML Solution Engineer, AI-Native Development Israel, Tel Aviv posted: Posted 30+ Days Ago

ML Research Engineer - Hardware Codesign San Francisco, California, United States About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're seeking a Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You'll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware. Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands-on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role you will: - Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding. - Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions. - Write emulation kernels for low-precision numerics

AI Trainer CHN - SHANGHAI posted: Posted 30+ Days Ago

Senior C# & .Net Developer Budapest, Hungary What success looks like in this role: What we're looking for Technical Ecosystem The Essentials (Must-Have): C#/.NET Expertise: Proven track record as a Senior Developer with both .NET Core and .NET Framework. Web Technologies: Experience with ASP.NET Web Forms or ASP.NET Core MVC, complemented by HTML, CSS, and JavaScript. Backend & Infrastructure: Solid experience with MS SQL Server and IIS. Connectivity: Proficiency in developing and managing SOAP and/or REST APIs. Cloud Focus: Familiarity with the MS Azure cloud environment. Valued Skills (Should-Have): Deployment: Experience deploying applications across test and production environments. Security: Knowledge of SSL certificate use and deployment. Data Insights: Ability to extract and compile data for SLA/KPI reporting. Bonus Points (Could-Have): AI & Automation: Familiarity with implementing AI within the dev/test/deploy pipeline to boost speed and QA coverage. Next-Gen Tech: Experience with AI Chatbots, Agentic AI, or Power BI. You will be successful in this role if you have: Soft Skills & Mindset We aren't just looking for a coder; we are looking for a collaborator . Proactive Learner : You seek out information, ask the right questions, and are genuinely interested in the client's business landscape. You have the ability and motivation to gain insight into the functional operation of the existing applications. Strategic Planner: You can assess a task, define a technical approach, and identify potential challenges before they arise. Clear Communicator: You maintain calm and clear communication (both oral and written) with teammates and clients alike. Flexible Professional:

AI Talent Systems and Recruiting Generalist San Francisco, California, United States This role is on-site in San Francisco in the Dogpatch neighborhood. Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We're building the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. It's an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great talent engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: - Voice AI startup Giga raises $61M Series A - DoorDash and Giga Partnership If being a part of this resonates with you, please apply! The Role . We are early in building our recruiting function. We are looking for someone who can build AI agents for recruiting and help to experiment with AI different tools to help scale the company. You will help deliver a

Principal AI Scientist 2 Locations posted: Posted 30+ Days Ago

AI Engineer/Developer Toronto, ON, CAN posted: Posted 10 Days Ago

Operations Manager - Enterprise AI Solutions New York City, NY (Hybrid); Redwood City, CA (Hybrid); United States (Remote) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role As an Operations Manager at Snorkel AI, you will own the operational backbone of our Solutions AI delivery organization. You will be accountable for putting the right people on the right work, maintaining clear visibility into execution and financial performance, and driving alignment across pipeline, staffing, delivery, and revenue. You will build the systems, processes, and operating rigor required to scale a high-performing Professional Services organization. Main Responsibilities - Own capacity planning and staffing for the Solutions AI Engineers in Float, aligning resources to projects based on skills, priority, and availability - Build and maintain capacity and

Business Analyst - AI and Business Transformation Mont Royal Job Summary AI and data are transforming how Dollarama operates - from streamlining business processes through AI and automation to modernizing how operations leaders access and act on information. As a Business Analyst - AI and Business Transformation, you will help turn business needs into practical solutions by supporting both the Agent Factory and the Store Operations Power BI transformation. At the intersection of business, technology, and change management, you will help identify opportunities, shape solutions, and support their delivery and adoption across the organization. You will contribute end to end to real enterprise use cases - from understanding business problems and defining requirements, to designing AI-enabled workflows, supporting BI development, testing, documenting, and preparing solutions for deployment. On the AI and automation side, you will contribute to solutions using Microsoft technologies such as Copilot Studio, Power Automate (AI Builder), and Power Apps. On the BI side, you will support the transformation of Store Operations reporting through Power BI and help turn data into actionable business insights. It's a unique opportunity to contribute to high-impact initiatives that are changing how teams work and how decisions are made at scale across Dollarama's 1,700+ stores nationwide. Key Accountabilities • Partner with stakeholders to understand business problems, gather requirements, and translate needs into clear functional requirements for AI,

Senior Software Engineer, AI Inference 2 Locations posted: Posted 24 Days Ago

AI Engineer - Platform & Assistant San Francisco | [OnSite]

Vertical Sales Representative (Video) Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview Protege is seeking a Vertical Sales Representative with a specialization in video data for AI model training and evaluation. This role is responsible for driving revenue by helping organizations - including vertical AI labs, media companies, and enterprises - access, prepare, and scale high-quality video datasets used to train and improve AI models. This is a full ownership sales role. You will be responsible for building, managing, and closing pipeline, supported by outbound/BDR and marketing resources, while also proactively sourcing and creating your own opportunities. The ideal candidate brings a strong, early-stage sales background combined with fluency in AI and data use cases, and can translate complex data requirements into clear, actionable commercial