Observe.ai jobs

Product Manager, AI Platform & Performance San Francisco, CA About the role Every Sigma experience - every query, every workbook, every agent interaction - runs on a platform that has to be fast, observable, and reliable at enterprise scale. As PM for AI Platform and Performance, you'll own the foundational capabilities that make that possible: query execution, compute and caching, metadata services, compiler components, agent infrastructure, platform observability, and data connectors. This role is for a technically strong PM who can move comfortably between infrastructure tradeoffs and customer conversations - and who gets energy from both. What you'll do - Own the roadmap for how Sigma's AI platform scales - compute, observability, connectors, and the query infrastructure that powers it all. - Partner closely with enterprise customers to understand performance pain points and translate them into platform improvements. - Work with engineering to ship meaningful gains in latency, throughput, reliability, and cost efficiency. - Build the observability and agent monitoring capabilities that give customers and internal teams real visibility into how their workloads run. - Make active prioritization calls across a wide surface area, with clear reasoning behind every tradeoff. What we're looking for - 5+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products - A track record of owning and delivering a product roadmap end-to-end across technically complex areas - Strong working knowledge of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure - Experience with observability tooling, agent monitoring, or

Sales Development Representative, Observability US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe is a SaaS powerhouse enabling businesses to investigate modern distributed applications 10x faster. Now, as a core part of Snowflake, we've reached a major milestone in the evolution of the AI Data Cloud. By bringing AI-powered observability directly into the Snowflake ecosystem, we've created the first truly unified platform for telemetry and business data. We are looking for a Sales Development Representative to join us at the ground floor of this expansion. At Observe , the SDR program isn't just a department-it's our leadership pipeline. We view our SDRs as the next wave of Account Executives, and we invest in you accordingly. If you are looking to turbocharge a career in tech sales, this is your training ground. We provide the

Enterprise Account Executive, Observability US-SC-Remote, Remote, South Carolina, United States, US-DC-Remote, US-GA-Remote, US-FL-Remote, US-NC-Remote At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we've reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we've created the first truly unified platform for telemetry and business data. This role is a unique opportunity to contribute in a meaningful way to high-visibility, high-impact projects within Observe by Snowflake, our observability platform built for modern data-driven organizations. You will be successful in this role if you are able to act with autonomy, take accountability, and remain open to new perspectives and ideas. Our

Senior Software Engineer, Observability Insights New York, NY / Sunnyvale, CA 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: Join CoreWeave's Observability team, where we are building the next-generation insights layer for AI systems. Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights. About the role: As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer. You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways. Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure. Who You Are: - 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs. - Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs. - Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and

Staff Engineer I 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. Glance - An InMobi Group Company Founded in

Lead — Community Marketing 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. Glance AI is an AI commerce platform

Account Executive United Kingdom 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 Data Analytics, AI, Search, Observability & Security company; is seeking a dynamic Enterprise Account Executive. To excel as an Account Executive at Elastic, you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. As a dynamic Enterprise Account Executive, you will be an integral part of our growth strategy. You will drive net-new revenue and expansion within Enterprise Accounts in an assigned territory. This is an opportunity for those passionate about empowering companies through cutting-edge search technology and analytics, enabling them to unlock the full potential of their data. What You Will Be Doing - Drive Adoption: Fuel the adoption of Elastic's AI-powered search solutions, Observability and Security solutions within

AI Prompt Engineer Singapore posted: Posted 8 Days Ago

Observability / Site Reliability Engineer - Associate - AI Managed Services - Consult Bangalore, India Embrace the role of an Associate Site Reliability Engineer and help clients optimize their operations through automation and process improvement. Collaborate with delivery teams, design automation frameworks, and drive continuous improvement in a dynamic environment. Grow your skills and make a real impact in managed services consulting.

Senior Customer Success Manager 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 We are seeking a Senior Customer Success Manager to lead adoption, value realization, and long-term partnership across a portfolio of strategic enterprise accounts. In this role, you will partner with senior contact center leaders and executive stakeholders to transform how organizations operate by deploying AI agents, copilots, and conversational intelligence that drive sustained, measurable business impact. As a trusted strategic advisor, you will guide customers through complex change, accelerate time-to-value, and ensure Observe.AI becomes embedded in their operating model. You will also play a critical role in shaping how Customer Success scales at Observe.AI by defining best practices, influencing platform adoption strategies, and helping build the foundation for enterprise-grade success in a

Senior Software Engineer, Observability New York, NY / Sunnyvale, CA 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: Join CoreWeave's Observability team, responsible for building the systems that give our customers and internal teams unparalleled visibility into complex AI workloads. Our team empowers engineers to understand, troubleshoot, and optimize high-performance infrastructure at massive scale. About the role: As a Senior Software Engineer on the Observability team, you will design, build, and maintain core observability infrastructure spanning metrics, logging, tracing, and telemetry pipelines. Your day-to-day will involve developing highly reliable and scalable systems, collaborating with internal engineering teams to embed observability best practices, and tackling performance and reliability challenges across clusters of thousands of GPUs. You'll also contribute to platform strategy and participate in on-call rotations to ensure critical production systems remain robust and operational. Who You Are: - 5+ years of experience in software or infrastructure engineering with a focus on designing, building, and operating large-scale distributed systems in production. - Proficient in Go or Python with experience writing clean, testable, and resilient production code. - Hands-on experience with

AI Machine Learning Engineer 4 Locations posted: Posted Today

AI Research Scientist - Datadog AI Research (DAIR) New York, New York, USA As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate

AI Engineer Seattle (WA) posted:

Software Engineer, Observability San Francisco, California, United States Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We're building the observability product for OpenAI-from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top-think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We're hiring software engineers across the stack-infra, backend, and product. You'll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You'll Do - Own core observability infrastructure, including distributed logging, time series, and trace storage - Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. - Contribute to UI experiences like dashboards, notebooking, or interactive debugging - Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: - Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) - Thrive in ambiguous environments and roll up

Member of Technical Staff, Product San Francisco, CA, San Francisco, California, United States, New York, NY Member of Technical Staff, Product TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team

Staff Site Reliability Engineer - Observability Bellevue, Washington; New York, New York; San Francisco, California; Washington, DC Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Overview: We are seeking a highly technical Staff Observability Site Reliability Engineer with a specialty in Splunk to own and evolve our Splunk ecosystem. In this role, you will move beyond simple monitoring to delivering a world class, comprehensive, scalable Observability Platform that enables our SRE teams and business partners. You will treat infrastructure as code -utilizing Terraform and strong coding proficiency in Go, Python, or Ruby -to automate the deployment of agents and collectors across complex distributed systems. Key Responsibilities - Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform. - Splunk Engineering: Optimize the collection, processing, and storage of log data to ensure high reliability and low latency of our Splunk services - Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements and "observability-driven development." - Automation: Eliminate "toil" by automating the deployment and scaling of

Member of Technical Staff, Tech Lead San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include

Staff Observability Engineer Atlanta, Georgia, United States THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Staff Observability Engineer to design, build, and mature the observability ecosystem that underpins our platform and services. You will deliver deep visibility into system behavior by combining system telemetry with user signals to provide a holistic view of performance, reliability, and user experience. You'll also explore how AI and machine learning can enhance observability, from intelligent alerting and anomaly detection to accelerating root cause analysis. This is a hands-on role. You'll partner closely with engineering and product teams to deliver scalable observability capabilities, serve as a subject matter expert in monitoring, alerting, and incident management, and equip teams with self-service insights and tooling. By connecting system behavior to real user impact and leveraging AI-assisted workflows to surface issues faster, you'll drive improvements in reliability, performance, and data-informed decision-making across the organization. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play - Contribute in defining and driving the observability strategy and roadmap across multiple teams, aligning with business priorities and engineering goals. - Design and improve scalable observability capabilities that provide actionable insights into system health, performance, and user experience. - Establish and standardize best practices for monitoring, alerting,

Agentic AI Leader Mumbai, Maharashtra, India posted: Posted 30+ Days Ago

AI Product Engineer - ClickStack United States (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! Join us in building the AI layer for Observability! ClickStack is the open-source observability platform we're building at ClickHouse - logs, metrics, traces, and session replays unified so engineers can find root causes quickly. The interesting work now is in the agent layer: systems that can investigate an incident at 2 AM, propose a root cause, and hand the on-call a concise summary by the time they've logged in. We're hiring an AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience. If you've been building agents, designing skills, and wiring up MCP servers - and you've hit the limits of generic copilots for production work - we'd

Sr. Mgr, Customer Success for Observability & Security, AWS Specialist and Partner Organization Mountain View, California, USA At AWS, Security has always been “job zero”-security is not just the top priority, it comes before everything else. At the same time, full-stack observability is critical for customers running modern applications at scale: the insights delivered by AWS's observability solutions help teams detect, investigate, and remediate problems faster, and-coupled with AI and ML-proactively predict and prevent them. These two disciplines are converging. Security observability, threat detection through telemetry, and AI-driven operations all require unified visibility across metrics, traces, logs, and security signals. In the era of GenAI, customers need solutions that bridge both domains to enable secure innovation, protect sensitive data, achieve operational excellence, and maintain compliance with evolving global regulations. The Senior Manager, Customer Success - Observability & Security leads a worldwide team of technical Customer Success Specialists within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence (CSCOE). This leader sets the forward-looking strategy for customer post-sale journeys across both observability and security-encompassing adoption, retention, expansion, and long-term value realization. The team guides customers through the technical, operational, and organizational dimensions of implementing successful observability and security practices across their cloud environments, including AI and GenAI workloads. In this role, you will lead a team of specialists to engage and build relationships across relevant customer personas in our largest and most strategic enterprise accounts. You will be technically credible across both observability and security solutions-spanning commercial, open-source, and

Internship – Agentic AI to Boost Operation Support Singapore

Senior Software Engineer - Internal Observability US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. We are looking for a Senior Engineer in Observability to help define and build the next generation of AI powered observability for Snowflake's global data platform. This role sits at the intersection of large scale distributed systems, telemetry pipelines, and machine intelligence, enabling engineers and customers to understand, diagnose, and optimize complex workloads in real time. You will play a key role in evolving Snowflake's observability stack into an intelligent, autonomous system that not