Production Dx Engineer Jobs

As organizations move AI agents from experimentation into production, engineering teams need to understand whether those agents are accurate, reliable, performant, and cost-effective. Datadog Agent Observability helps teams understand, evaluate, and improve AI agents across the development lifecycle. By connecting agent traces and evaluations with full-stack production telemetry, Datadog gives teams the context they need to understand agent behavior and resolve problems quickly. As the Product Manager for Agent Observability, you will own capabilities that help customers develop and operate reliable AI agents. You will spend significant time with customers, learn how they work, identify their most important problems, and translate those insights into a clear product strategy and roadmap. To succeed in this role, you should be comfortable navigating a rapidly evolving market, presenting to customers, and leading cross-functional efforts to drive adoption and growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Own the roadmap for new Agent Observability capabilities Develop a deep understanding of how teams build, evaluate, monitor, and troubleshoot AI agents Engage directly with customers and design partners to validate problems, test product concepts, and improve the product Work closely with engineering and design to deliver new capabilities from early concepts through launch and iteration Partner with GTM teams on positioning, sales enablement, customer education, and adoption Track developments across the broader AI ecosystem to guide priorities Who You Are 3+ years of PM experience, ideally in the AI/ML space Working knowledge of how AI agents are built and operated, or have hands-on experience with AI Observability or MLOps tooling Take own

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do As an Agent Strategist , you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. Own the Agent Development Life Cycle . Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Stablecoin team within the Developer product group builds and operates the platforms that power stablecoin issuance, growth, and ecosystem expansion at Coinbase. As a Software Engineer, you'll help deliver a suite of international stablecoins by evaluating and integrating external partner APIs, building backend services that enable issuance and operations, and contributing to the rewards and growth systems that drive stablecoin adoption across Retail, Exchange, Prime, and Custody products. What you'll do: Build backend services that power stablecoin issuance, onboarding, and operations, including integrating external partner APIs with internal systems to launch new international stablecoins. Own end-to-end delivery of features from technical design through production, working closely with product managers, designers, and tech leads on scope and implementation. Support the smart contracts that mint, burn, and safeguard stablecoin supply, working with senior engineers on design and security review. Partner with cross-functional teams across Stablecoins UX, Growth, and Ecosystem to deliver rewards, incentive, and conversion features that drive stablecoin adoption. Execute reliability and quality improvements across the stablecoin platform, writing well-tested code and contributing to observability, monitoring, and operational excellence. Required Skills and Exp

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members. You work where models meet production: serving, scaling, latency, and cost. Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load. You sit close to applied AI, research, and platform engineering, and you make the difference between a model that works in a notebook and one that serves a community reliably. Why this role exists Collective intelligence is only useful if it is fast and dependable. Members will not wait, and communities cannot rely on a platform that buckles under load or costs too much to run. Serving modern AI at scale is a hard systems problem: large models, tight latency budgets, expensive hardware, and demand that spikes. It takes real infrastructure engineering to get right. The AI/ML Infrastructure and Systems Engineer owns that problem. You make inference fast, reliable, and affordable, so the intelligence the platform promises actually reache

About Us Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You'll join the Full Stack group within Cloud Services, which is being built now. Today, production and analytical workloads share a single database, and each product defines its own metrics. This team exists to fix that by designing and building the warehouse, transformation layers, and semantic model from the ground up. You'll work closely with Full Stack, ML, Product, Security, and Customer Success. About the Role Most data engineers early in their careers maintain one slice of a large, mature platform, or build pipelines against a model someone else designed years ago. This role is the opposite. As an SDE II, Data Engineer, you'll be one of the first engineers building Gather AI's data foundation from scratch. The work includes: Moving analytics off our production PostgreSQL database Writing the layered dbt models every product will share Defining metrics once so they stay consistent everywhere Linking structured records back to the drone images and video they came from You'll start by shipping well-scoped pipelines and models on our Drone product alongside senior engineers. From there, you'll grow toward owning a dat

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Broad knowledge and experience in: Expertise in the field of Data Engineering, Business Intelligence, and Advanced Analytics. Supporting, and maintaining ETL/ELT processes using SSIS, Snowflake, and cloud-native data integration technologies. Proficient in writing advanced SQL queries in both SQLServer and Snowflake. Proficient in debugging ETL packages. Good knowledge of databases, data warehousing, dimensional data modeling, and data governance practices. Familiarity with cloud-based systems for data engineering, especially Google Cloud Platform (GCP) and BigQuery. Experience with workload automation, job scheduling, and monitoring tools such as Active Batch & RMJ. Supporting Business enterprise data pipelines and ensuring data availability, reliability, and performance. Experience in production support, handling incidents, identifying root causes, and resolving problems. Knowledge of building APIs and integrating data across multiple applications and platforms. Experience with Agile development methodologies and DevOps practices. Resolving transformation requirements and developing processes to bring structured and unstructured data from source systems into target data models. Working with Data Engineers, Data Scientists, and Business teams to support data quality, data preparation, and analytical workloads. <li

The position is responsible for leading and overseeing all production activities within their section across three shifts, ensuring smooth operations, material availability, and adherence to the production plan. This role is pivotal in driving process optimization, improving equipment efficiency, and ensuring compliance with quality, safety, and regulatory standards. The Section In-Charge is tasked with managing resources, controlling costs, and implementing digital tools to streamline operations. By fostering a culture of continuous improvement and safety, they ensure alignment with organizational goals, while leveraging data analytics to inform decision-making and enhance operational performance. Source: Adani Group | Job ID: 58901

Quality Engineer ensures compliance with quality standards in precast production by conducting inspections, managing documentation, and implementing quality control procedures. The role focuses on process improvement, risk management, and supporting quality mix designs while collaborating with cross-functional teams to drive continuous improvement and defect reduction. Source: Adani Group | Job ID: 53493

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. The Snowflake Postgres team is building a managed Postgres experience inside Snowflake. This role is focused on the control plane, where you have the opportunity to work on both on distributed systems at scale and also to work on research grade optimizations at various layers of the software stack including but not limited to provisioning, managing, securing, and operating Postgres in Snowflake . You will work on core backend systems that sit at the intersection of distributed systems, database infrastructure, security, and operational excellence. In this role, you will: Design and build backend services that power provisioning, lifecycle management, and configuration of Snowflake Postgres instances. Develop features in the access and user model, including authorization, secure administration flows, and customer-facing management capabilities. Improve the reliability, observability, and operability of asynchronous workflows and background systems that keep the service healthy. Partner with product, security, and adjacent engineering teams to deliver simple customer experiences on top of complex infrastructure. Investigate production issues, participate in on-call, and drive fixes that improve resilience and reduce operational burden. Contribute to technical design, code rev

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do As an Agent Strategist , you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. Own the Agent Development Life Cycle . Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real

The Shift Incharge - Warehouse Issuance ensures efficient material issuance to production while promoting a safety-first culture. This role involves overseeing safety compliance, managing chemical handling, conducting inventory verification, and collaborating with project teams. Additionally, the Shift Incharge supports internal customers and leads the implementation of transformation project milestones, contributing to operational excellence and continuous improvement. Source: Adani Group | Job ID: 58266

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 The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

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 The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

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 The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac

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 The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment. We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next. We build features that have to work at scale, and we care deeply about correctness and performance. As a senior engineer, you will lead technical work across this area. You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams. We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews. What You Will Be Doing Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs. Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies. Write high-quality TypeScript and React code, with Node.js services and APIs where needed. Build telemetry, tests, and safeguards so the systems behave predictably in production. Review code, support teammates, and improve team practices. Partner with teams ac