Observe.ai jobs

SDE III - Backend Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Job Summary We're looking for a Senior

Senior Product Manager, Observability & Monitoring Oakland, California, United States, AMER From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We're looking for an experienced Product Manager to own Monitoring and Observability-a critical pillar of our Enterprise Platform group. In this role, you will help our largest and most sophisticated customers easily understand how their data pipelines are performing. You'll focus on delivering a world-class observability experience, ensuring that Fivetran remains easy to use even as our capabilities expand in scale and complexity. We're looking for someone who can bring AI-native thinking to how our platform evolves-whether it's in accelerating development with intelligent defaults, enabling automated observability, or expanding how customers build with Fivetran programmatically. This is a high-impact, high-visibility role, perfect for product leaders who thrive on technical challenges, tight feedback loops, and opportunities to shape long-term platform strategy. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Own and evolve the Monitoring & Observability product area: logging, alerting, sync

Senior AI Engineer Warsaw, Poland posted: Posted 4 Days Ago

Research Engineer, AI Observability San Francisco, CA 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 Team As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets. Our tools are widely adopted internally - powering ongoing enforcement , threat intelligence investigations , model audits , and more - and we're looking for experienced engineers and researchers to both scale up existing applications and go zero-to-one on new ones. About the Role As a Research Engineer on our team, you'll design and build systems that let AI analyze large, unstructured datasets - think tens or hundreds of thousands of conversations or documents - and produce structured, trustworthy insights. You'll work across the full stack, from core analysis frameworks through user-facing apps and interfaces. This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment. Responsibilities: - Design and implement AI-based monitoring systems

Senior Applied Scientist, Agentic AI Remote-USA posted: Posted 30+ Days Ago

Senior Staff Product Manager - Splunk AI Foundations 2 Locations The application window is expected to close on: 06/06/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Senior Staff Product Manager - Splunk AI Foundations Splunk is looking for a Senior Staff Product Manager to join our AI Foundations Team! We are building the core models and tools that power our entire product portfolio for global customers. In this role, you will help define the roadmap for high-scale AI, focusing on domain-specific models, agentic protocols, and orchestration platforms. The Team The Splunk AI Foundations Organization delivers Gen AI and ML-based solutions that enhance Cisco and Splunk products. We introduce new offerings that help customers deploy AI at scale responsibly, keeping security and observability at the center of every model. Your Impact As a Senior Staff Product Manager for the Splunk AI Foundations Team, you will be the architect of the "AI Engine Room" that powers the future of Splunk and Cisco's joint vision for AI-native digital resilience. You will be instrumental in crafting the core substrate of our platform-developing the foundational models, protocols, and orchestration tools that not only drive our internal Platform, Security, and Observability portfolios but are also shipped as a world-class platform to our global customers and developer ecosystem. In this role, you will lead the productization of domain-specific foundation models (such as the C isco Time Series Model). By building agentic workflow frameworks,

Senior Product Manager - U.S. Growth San Mateo, CA Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Overview of the

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

Software Engineer, Kernel Performance & AI Tooling 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-native 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 are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The role is ideal for someone who is excited by low-level performance work, but also sees AI and automation as powerful tools for accelerating engineering velocity. You will help define the future of kernel engineering in the era of AI-assisted development. In this role, you may: - Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy. - Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective. - Optimize production kernels end to end by

AI & Computer Vision Intern - Data augmentation Lausanne, Canton de Vaud, Switzerland About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role To train highly robust perception systems, we need aerial imagery spanning a massive variety of conditions. You will engineer an advanced Generative AI pipeline capable of completely transforming the context of existing datasets; shifting time-of-day (day to night), changing seasons (summer to winter), or altering entire biomes and weather systems; while perfectly preserving small, critical target objects like drones. - Refine the Generative Architecture: Take ownership of a sophisticated multi-pass diffusion pipeline (structural background replacement + lighting/atmospheric glazing) to seamlessly adapt scene contexts while maximizing physical realism. - Solve Edge Cases: Improve custom masking and high-res depth-patching algorithms (e.g., histogram matching, seamless blending) to anchor small objects in 3D space, eliminating generative artifacts and "sticker" effects. - Scale & Validate: Generate large-scale augmented datasets and rigorously quantify their impact on downstream model performance. Design experiments to measure how the inclusion and varying ratios of this synthetic data directly improve the

Senior Software Engineer ll – Platform & AI, Customer Experience Israel - Tel Aviv About the role: Forter is looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering Forter's entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product. You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production. Why should you join us? AI at Forter isn't a side project. It's a strategic priority, and the CX Platform team sits at the center of it. We own the AI infrastructure for the entire Product Offering group, which means your work has wide reach and real stakes. You'll be working with modern agentic patterns, like AWS Bedrock and LangChain, building features that are genuinely novel and not just wrapping someone else's chatbot. If you want a role where backend depth, product instinct, and AI engineering all matter equally, this is it. What you'll be doing: - Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on. - Ship agentic features end to end. Lead development of AI-driven capabilities using

Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

Staff Software Engineer, AI Foundations Bangalore Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle. As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role. A day in the life (Responsibilities) - Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem - Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations - Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior - Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered

AI Engineer Remote posted: Posted 30+ Days Ago

Enterprise Account Executive, Taiwan Hong Kong Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion in Taiwan. This role will be based in Hong Kong and requires occasional travels to Taiwan to expand our Enterprise customer accounts from Manufacturing, High-Tech, Government. What You Will Be Doing - Drive Adoption: Fuel the adoption of Elastic's AI-powered search solutions, Observability and Security solutions within (new) Enterprise accounts while deepening engagement with existing ones. - Be a Trusted Advisor: Assist users and customers in harnessing the full power of search analytics to transform data into actionable insights. - Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. - Solve Complex Problems: Move beyond simple transactions to address the intricate data challenges our customers face.

Senior Software Engineer - AI Foundations Dublin, Ireland Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future. AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle. As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company. A day in the life (Responsibilities) - Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines - Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations - Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and

Sales Development Representative (Southern California) Remote - US About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle-from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us Observe.AI is transforming the customer experience industry with AI-powered solutions that help enterprises improve customer experience, agent performance, and operational efficiency at scale. As a leader in the CX space, we're building the future of AI-driven customer conversations - and we're looking for ambitious SDRs who want to help shape it. This is an opportunity to break into enterprise sales at a fast-growing AI company, work alongside top-performing Account Executives, sharpen your sales skills, and make a meaningful impact in one of the most exciting categories in tech. We're looking for a driven, curious, and resilient Sales Development Representative who thrives in a fast-paced environment and is energized by

Data Governance- with Agentic AI/Gen AI BANGALORE, Karnātaka, India

Senior Account Executive – Defence & Public Safety (Nordics) Sweden Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. About Elastic Elastic is the Search AI Company, helping organisations find answers in real time, across all their data, at scale. Trusted by more than half of the Fortune 500, our platform underpins mission-critical operations in security, observability, and search. Across the Nordics, we are building out our presence in Public Safety & Defence, sectors where performance, security, and data integrity are not preferences, but requirements. The Role We are looking for a Senior Account Executive to own and grow Elastic's business across the Defence and Police in Sweden, Norway, and Finland. You will work with the Armed Forces, Ministries of Defence, Police authorities, and related national security agencies, driving pipeline, building relationships, and closing complex deals in some of the most demanding buying environments that exist. This role is not for generalists. It is for someone who has been in

Principal, Strategic AI Partnerships San Francisco We're looking for an experienced and innovative business development and partnerships specialist to help accelerate MongoDB's vision by building and scaling high-impact partnerships with strategic and complementary AI infrastructure providers. This includes frameworks, hyperscalers, observability platforms, model labs, and other technologies that empower developers to build modern AI applications. To start, this individual will lead the strategy and execution of technical and GTM partnerships with AI-forward platforms, such as Vercel, Lovable, and Replit, that empower developers and agents to build AI and agentic applications on MongoDB as their backend database. They will source and structure integrations, define joint value propositions, and drive co-selling motions to make MongoDB the default data layer across the AI platform ecosystem. This is a high-impact role requiring expertise in partnership development, technical acumen, and the ability to collaborate across teams and organizations. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. What You'll Do - Ecosystem Strategy: Develop a deep understanding of the AI infrastructure landscape, including hyperscalers, observability platforms, frameworks, model labs, and developer tools. Collaborate with internal teams to define priorities and strengthen MongoDB's partnerships with these key players - Partnership Development: Identify, recruit, and activate strategic partnerships across complementary AI infrastructure. Negotiate effective deal structures and maintain MongoDB's relevance and prominence within these ecosystems - Partner Success: Design and lead initiatives that drive adoption of validated integrations, ensure high-quality results, and maintain strong alignment with partner and

Senior AI Support Engineer (Paris) Paris, Île de France, France About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . The role Support at Dust is not a cost center. It is one of the most important product surfaces we own. As a Senior AI Support Engineer , you will help define what world-class support looks like in an AI-native company. You will not just resolve tickets. You will own the

Generative AI Applied Scientist, SIML - ISE Cupertino, United States of America Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment. We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream

Principal Software Engineer - AI Foundations Dublin, Ireland Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future. AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle. As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building. A day in the life (Responsibilities) - Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations - Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace - Architect and deliver autonomous agents and MCP services that participate

Principal AI/ML Platform Engineer (CA) Mississauga The Team This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products Job summary The Principal AI/ML Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows. Key responsibilities. - Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools. - Implement secure access controls and authentication mechanisms integrated by default into the AI platform components. - Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure. - Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications. - Optimize infrastructure for scalability, high availability, cost efficiency for production workloads. Qualifications & Skills - Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security. - Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, MLFlow). - Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs. Preferred experience - Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads. - Experience with CI/CD pipelines and automation for AI