Production Dx Engineer Jobs

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 Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Staff Machine Learning Engineer on Sentry’s AI/ML team, you’ll be directly responsible for developing the models and agents used to make our product smarter and more capable. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring. Your work will help companies around the globe gain actionable insights into their software, enabling them to build better products, faster. In this role you will Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own the development of major initiatives in the AI/ML space You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications Minimum 4+ years of professional experience with a MS/PhD degree in computer science, machine learning, or a related field Minimum 6+ years of professional experience with Bachelor’s degree in computer science, machine learning, or a related field Demonstrated expertise building production-grade agentic systems and tools You are comfortable writing production quality code (we use Python) Expertise with deep learning frameworks (we use PyTorch) Familiarity in deploying machine learning models at scale in production

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. In this role you will Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues Set technical direction for how our agents get context, use tools, and decide when they're done Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own major AI initiatives end to end, alongside the developers and product teams shipping them Run what you ship in production and debug it with Sentry You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications You've shipped an LLM-backed system people depended on, and can tell us what broke You have strong opinions on agent design and have changed at least one in the last year You've trained or fin

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering , you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. What You’ll Do Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. Partner with engineering and product

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering , you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. What You’ll Do Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. Partner with engineering and product

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. In this role, You Will: Design, develop, and implement exceptional user interfaces for web applications using modern web technologies such as HTML, CSS, and JavaScript. Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes. Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems using React and gRPC. Contribute to back-end development with a focus on creating robust APIs and ensuring smooth communication between the front-end and server using technologies like Node.js or Python. Build, test, and deploy full-stack web applications using React and gRPC, while ensuring responsiveness, performance, and scalability. Optimize web applications for performance, accessibility, and SEO best practices. Troubleshoot and resolve UI and back-end related issues, ensuring a consistent and optimal user experience across multiple platforms and devices. Write clean, maintainable, and well-documented code adhering to established coding standards, and deploy/debug using platforms like Vercel. Id

Integration meets Innovation At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. We are looking for a Marketing Operations Manager to run the hands-on execution behind our demand generation engine. This is a builder's role: you'll own our webinar program end to end, be accountable for demo request conversion, and keep lead routing fast, accurate, and trusted by sales. You'll work inside HubSpot and Salesforce every day, executing campaigns, processing lists, QA'ing what goes live, and reporting on what worked. You'll report to the Director of Marketing Operations and partner closely with demand generation, content, SDRs, and rev ops. What would you do if hired? Webinar and virtual event operations Build and manage webinars end-to-end, registration pages, forms, reminder and follow-up emails, on-the-day production support, and post-event lead processing. Own the webinar build calendar and hold the timeline with content, demand generation, and speakers. Process registrant and attendee lists with correct source attribution, campaign membership, and engagement stamping. Report registration, attendance, and downstream pipeline for every webinar. Demo conversion Own the demo request path end to end - forms, landing pages, confirmation, and scheduling flows. Be accountable for demo request conversion rate; run A/B tests on forms, CTAs, and follow-up cadences and act on the results. Work with SDRs on speed to lead; find and fix drop-off, failed submissions, and broken handoffs. Keep demo routing, notifications, and response SLAs working as intended. Lead routing and lifecycle Build and maintain lead routing rules in HubSpot and LeanData, assignmen

This is a 12- month contract. This position is for temporary engagement through our staffing partner, Yoh Enterprise Solutions. Insomniac Games is looking for a VFX Artist. In this role the VFX Artist is responsible for creating VFX to work and assist in gameplay, environments, and cinematics of games. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Creates, designs, and implements real-time particle effects using both static and animating 2D/3D elements. Placing of visual FX across all areas of the game, including environmental and gameplay FX, and cinematics. Create FX textures (color, normal, specular, ambient occlusion, height, and incandescent maps.) Possesses at least an intermediate ability to navigate and use DCC software such as Maya, Houdini, or equivalent. Creates FX shaders with node-based shader networks. Creates simple geometry and UV sets. Possesses an intermediate foundation in computer graphics fundamentals and artistic analysis Optimizes FX for framerate and memory. Collaborates with other development departments to ensure that FX are implemented appropriately in the game engine. Understands and adds to the overall art style of game. Orchestrates FX events involving layering and timing of different FX to create a believable scene. Demonstrated professionalism in attendance, communication, reading comprehension, receiving feedback and working in a production setting. Other duties may be assigned Reasoning Ability : Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Computer Skills : Proficient in Maya, competent working with joints and locators, keyframing, rigid body simulations, hard surface modeling, and UV mapping. Proficient in Photoshop for painting and editing textures. Proficient with node- based shader networks. Knowledge of other visual e

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role We're looking for a Growth Marketing Manager to own the day-to-day of our website and drive our SEO and AEO strategy. You'll be the person who actually ships what's on the roadmap, new pages, localization work, ongoing site changes, while also owning how we show up in traditional and AI-driven search, from strategy through execution. In this role, you will Run website execution day-to-day, and build the systems to move faster: Project manage and execute against the website roadmap, launching new pages, making ongoing site changes, while also building or improving the workflows and tooling that let publishing move faster, removing manual bottlenecks wherever possible. Own and execute SEO and AEO strategy: Set the strategy for how Decagon shows up in both traditional search and AI-driven search surfaces (ChatGPT, Perplexity, and similar), including exploring programmatic approaches to scale beyond manual content production, and do the hands-on work to make it happen, not just goals and

ABOUT THE TEAM At Mural, we’re reimagining how teams think and create together. The Design and Research team brings clarity to complexity, shaping experiences that help people collaborate, ideate, and solve problems visually. We partner deeply with engineering, product, and research to invent the next generation of collaborative work combining craft, systems thinking, and bold exploration. YOUR MISSION As a Lead Product Designer focused on Growth, you’ll define how Mural earns user trust at the moments that matter most when someone first encounters the product's value, decides to go deeper, or chooses to stay. This is end to end growth journey ownership. It's about designing the logic of how Mural grows: the moments where clarity converts, where friction is a design failure, and where the line between growth and product quality either holds or breaks. You'll work across discovery, activation, and pricing surfaces, onboarding paths, upgrade flows, lifecycle touchpoints, and in-product nudges. Most importantly, you'll orchestrate how those surfaces work together and set the standard for how growth design is practiced at Mural. You'll succeed if you can bring full journey thinking, rigor and craft to a domain that often defaults to shortcuts and if you can help a cross-functional team understand what good growth design actually looks like. WHAT YOU'LL DO Player Responsibilities (Individual Contributor Work): Define high-quality, user-centered discovery, activation, and monetization experiences across problem to success flows, upgrade flows, pricing surfaces, and lifecycle touchpoints — setting patterns that scale across the platform. Work from concept to production, delivering thoughtful UX, polished visual design, and vibe coded prototypes that help the organization understand direction, risk, and value. Use behavioral data as a primary design input: interpret funnel metrics, experiment results, and user signals to inform design decisions, not just validate them. Desi

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 Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

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 Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

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 Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a New Graduate Electrical & Avionics Engineer to support the design, development, integration, and testing of electrical systems for next-generation autonomous defense platforms. In this role, you will work across circuit-board design, avionics, power distribution, communications, vehicle harnessing, and hardware testing to take systems from early prototypes through flight-ready production hardware. You will collaborate closely with mechanical, software, systems, manufacturing, and test engineers to rapidly build, troubleshoot, and validate reliable electrical systems. This role is ideal for a hands-on engineer who wants broad technical ownership, learns quickly, and is excited to build critical hardware in a fast-paced environment. Key Responsibilities Design and develop electrical and avionics systems for autonomous aircraft, missiles, propulsion systems, and related defense platforms. Support schematic capture, component selection, PCB layout, stack-up design, and board bring-up. Design circuits incorporating microcontrollers, high- and low-speed communication buses, analog and digital interfaces, sensors, power distribution, EMI protection, and ESD protection. Develop flight avionics, guidance and control elect

At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. Our company is built on the idea that when diverse fields of study come together, we are able to solve challenging problems. You will be joining a diverse team with a dynamic culture, where team success is as important as celebrating individual contributions. We pride ourselves in developing an environment where we all can teach, learn, and grow together. About the Role… As a mechanical engineer on the Continuous Improvement team, you will help us design, build, and sustain groundbreaking additive manufacturing solutions ranging from new printers to new ways to clean parts. The Continuous Improvement team has a wide variety of responsibilities, including leading new product introduction (NPI) with Manufacturing, developing new product variations, designing new features for current products, and adapting current products for long-term production in a dynamic manufacturing environment. As a member of a tight-knit and cross-functional hardware team, you'd contribute ideas and develop practical solutions to an evolving list of never before seen challenges. Your work will help ensure that we deliver great products and delight our customers while changing the world of additive manufacturing. Note: This role is based in our Sunnyvale office and requires 5 days in office. Some travel will be necessary to our Santa Clara manufacturing facility. You will… Own design, architecture and testing of complex parts and subassemblies and d