Automation Operation System Engineer Jobs

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. We are hiring for Machine Learning Engineering as TL level. Your Location: This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

Job Summary The Field Application Engineer (FAE) will provide technical, hands-on expertise to support all business opportunities for Phoenix Contact products and applications directly associated with the marking and installation portfolio used within the industrial automation and electronics industry. The Field Application Engineer will collaborate with regional sales managers, strategic account managers, sales engineers, account development specialists, channel, and field application engineering teams, to utilize a consultative approach with all customers to support their individual needs and expand market penetration. This role plays a pivotal part in the development and expansion of all accounts, through cabinet efficiency sales growth and specifications. This position is an individual contributor role and does not include formal people management responsibilities. The territory for this role is Nebraska, Missouri, Kansas and Iowa. Responsibilities Increase annual sales revenue across all products directly associated with the cabinet efficiency portfolio at customer accounts. These products include but are not limited to printers & software, marking materials, hand & automatic tools, cabinet efficiency value-add and control cabinet accessories. Work in coordination with local Phoenix Contact sales team utilizing joint sales activities, trainings, and mutual action plans to advance the sales of above-mentioned products. Act as the local technical representative for the above-mentioned products and support the sales team in power-related technical matters. Act as the regional marketing specialist developing sales tools, collateral and driving campaigns. Serve as the “voice of the customer” providing insight for expansion of product lines or new focus industries. Drive value-added cabinet efficiency solutions. Meet/exceed territory sales quotas as established by the RSM and/or Vice President - Field Sales. Be proficient in BASE selling skills an

Job Summary The Field Application Engineer (FAE) will provide technical, hands-on expertise to support all business opportunities for Phoenix Contact products and applications directly associated with the marking and installation portfolio used within the industrial automation and electronics industry. The Field Application Engineer will collaborate with regional sales managers, strategic account managers, sales engineers, account development specialists, channel, and field application engineering teams, to utilize a consultative approach with all customers to support their individual needs and expand market penetration. This role plays a pivotal part in the development and expansion of all accounts, through cabinet efficiency sales growth and specifications. This position is an individual contributor role and does not include formal people management responsibilities. The territory for this role is Nebraska, Missouri, Kansas and Iowa. Responsibilities Increase annual sales revenue across all products directly associated with the cabinet efficiency portfolio at customer accounts. These products include but are not limited to printers & software, marking materials, hand & automatic tools, cabinet efficiency value-add and control cabinet accessories. Work in coordination with local Phoenix Contact sales team utilizing joint sales activities, trainings, and mutual action plans to advance the sales of above-mentioned products. Act as the local technical representative for the above-mentioned products and support the sales team in power-related technical matters. Act as the regional marketing specialist developing sales tools, collateral and driving campaigns. Serve as the “voice of the customer” providing insight for expansion of product lines or new focus industries. Drive value-added cabinet efficiency solutions. Meet/exceed territory sales quotas as established by the RSM and/or Vice President - Field Sales. Be proficient in BASE selling skills an

Sendbird is building AI agents for customer experience. Our platform already powers billions of conversations every month across chat, voice, video, and messaging APIs. We are now using that foundation to build agents that understand customer context, reason over business data, and take reliable action in production. We are looking for a Machine Learning Engineer to research, build, and productionize new capabilities for those agents. This role sits at the intersection of agent product development, applied AI research, and production engineering. You will work on systems that enterprise customers depend on every day, not demos or isolated prototypes. About Sendbird and delight.ai Sendbird has spent more than a decade building communication infrastructure for in-app chat, voice, video, and messaging APIs. More than 4,000 brands use our platform, including DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our systems support more than 7 billion messages every month. In 2024, we made a strategic shift toward AI-first customer experience. In 2025, we launched our enterprise AI agent product, delight.ai. Delight.ai helps businesses deliver customer support and engagement that is faster, more contextual, and more personal. Unlike simple FAQ bots, our agents are built to remember customer context, use tools, retrieve relevant knowledge, connect across channels, and handle real customer workflows with accuracy and control. The Role As a Machine Learning Engineer, you will design, build, evaluate, and ship new capabilities for our AI agents. You will work across agent architecture, retrieval, memory, planning, tool use, workflow automation, voice, evaluation, data pipelines, model adaptation, inference, and production integration. This is a hands-on engineering role for someone who can turn AI research and product ideas into reliable customer-facing features. Some problems will require training, fine-tuning, or adapting models. Others will require better retrieval, bet

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As the Senior Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Lead continuous improvement efforts for our build, release, and test systems, ensuring a robust

About Us: Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com . The Role: We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests. Responsibilities: Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment. AI-Powered Insights (Test & Production): Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends. Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities. Unified Data Intelligence: Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience. Automated Failure Analysis & Remediation: Architect AI models and systems t

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Senior / Staff Mechanical Engineer to design, develop, and refine mechanical systems and components for cutting-edge robotic products. You will collaborate with multidisciplinary teams to create reliable and high-performance robotic solutions. This role offers an opportunity to push the boundaries of robotics technology while working on projects with real-world applications. Responsibilities Design and develop mechanical systems for AI robots. Collaborate with cross-functional teams to integrate mechanical, electrical, and software components. Conduct feasibility studies and simulations to evaluate designs. Create engineering drawings, specifications, and documentation for manufacturing. Work closely with vendors to design and develop various modules. Perform prototype fabrication, testing, and validation to meet performance, reliability, and safety standards. Requirements Master’s degree or PhD in Mechanical Engineering, Robotics, or related field. 5+ years of experience in mechanical design, preferably in robotics or automation. Proficient in CAD software (e.g., SolidWorks, AutoCAD). Strong understanding of materials, manufacturing processes, and mechanical systems. Experience with FEA and other simulation tools. Proven track record of leading projects from concept to production. Excellent problem-solving, communication, and collaboration skills. Requires 5 days/week in-office collaboration with the teams. Bonus Qualifications Experience with robotics, mechatronics, or automation. Familiarity with actuators, sensors, and control systems. Rapid prototyping techniques. Knowledge of regulatory compliance and safety standards in robotics. Benefits Competitive stock options/

The Role We’re looking for a Senior DevOps Engineer to help scale and operate the infrastructure behind our platform. This is a hands-on individual contributor role focused on cloud infrastructure, automation, and reliability. You’ll partner closely with engineering teams to improve system performance, strengthen security, and enable fast, reliable deployments. What You’ll Do Design and operate scalable AWS infrastructure. Build applications with containerization technologies such as Docker and orchestration tools like Kubernetes. Implement robust monitoring and logging tools (e.g., NewRelic, DataDog, Grafana, etc). Build and manage infrastructure as code using Terraform Improve CI/CD pipelines (Jenkins and GitHub Actions) to accelerate delivery Troubleshoot production issues and lead root cause analysis Build and work in complex SDLC environments Collaborate with engineering teams to streamline development and deployment workflows What You Bring 6–10 years in DevOps, SRE, or infrastructure engineering Strong hands-on experience with AWS in production environments Experience with Kubernetes and containerized systems Proficiency with Terraform (or similar IaC tools) CI/CD experience (GitHub Actions, Jenkins, or equivalent) Scripting skills (Bash, Python, or similar) Solid Linux/Unix fundamentals Why Sureify Build systems that support millions of users Work in a high-growth, engineering-driven SaaS company Remote-first across the Americas Competitive compensation, equity, and flexible PTO Our Guiding Principles Our products are for nothing if their creators are not fulfilled in their work. We want our employees to flourish at Sureify. We do not fawn over status or titles, instead, we honor effort and intelligence. The best idea wins no matter which colleague proposed it. We do not shortcut our mission with overblown claims or false promises. Sticking to the truth is both a strategy and a principle for us. Sureify is an Equal Opportunity Employer committed to div

MID/SENIOR DATA ENGINEER – CAPCO POLAND We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. At Capco Poland , we’re not just another consultancy – we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help our clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth – both for our clients and ourselves – and that means attracting talented professionals who want to develop their skills, take ownership, and make a real impact. We’re proud to be: Trailblazers in banking, payments, capital markets, wealth, and asset management Champions of an agile, nimble, and innovative work environment Dedicated to building a team of talented professionals who share our drive and vision THE ROLE We are looking for a strong Mid/Senior Data Engineer to join our growing data engineering team and contribute to building scalable, reliable data solutions for our financial services clients. You will work with modern data technologies and cloud platforms, developing and maintaining data pipelines, processing large datasets, and supporting the delivery of enterprise-scale data solutions. This is a great opportunity for a Data Engineer who already has hands-on commercial experience and wants to further develop their expertise in Python, Apache Spark, Hadoop, Linux, and Google Cloud Platform (GCP) while working on complex international projects. WHAT YOU’LL DO Design, develop, and maintain scalable data pipelines and data processing solutions. Develop data transformation and processing workflows using Python and Apache Spark . Work with large-scale datasets in distributed enviro

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. To further this important mission, we're building our Accounting team in Bangalore Finance and are looking for someone to help us scale for the future in a fast-paced environment. Role Summary We are seeking a highly detail-oriented and tech-forward Corporate Accounting Analyst to join our fast-paced corporate accounting team. In this role, you will play a critical part in managing General Ledger (GL) activities, ensuring accurate close processes, and driving accounting precision across specialized technical areas, including debt, prepaids, intercompany transactions, and lease accounting . The ideal candidate holds a Chartered Accountant (CA) qualification, possesses 4–6 years of progressive accounting experience , and brings a modern, tech-enabled mindset—specifically the ability to leverage AI tools, automation, and advanced analytics to streamline workflows and solve complex accounting problems in a rapidly evolving environment. Key Responsibilities Own end-to-end accounting schedules, journal entries, and balance sheet reconciliations for corporate accounting areas . Manage month-end, quarter-end, and year-end closing activities within prescribed timelines. Conduct variance analyses on P&L and Balance Sheet line items, investigating unexpected fluctuations and providing actionable commentary to management. Support internal and external audit requests by preparing audit schedules, supporting documentation, and clear accounting workpapers. Collaborat

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. Celigo is looking for a Senior Partner Account Manager to hunt and grow the channel partnerships that extend Celigo's reach in the market. This is a business development role at its core: you will identify which partners have the potential to build real practices around Celigo, clear whatever is in the way, and grow those relationships into durable revenue engines. What would you do if hired? Own the partner pipeline from identification to activation. You will research the market to find partners worth betting on, make the first move, and drive each relationship to a productive and active practice without waiting for someone to hand you a playbook. Build and expand partner practices by working cross-functionally with sales, marketing, and product to create joint initiatives, co-sell motions, and enablement programs that make it natural for partners to lead with Celigo. Use AI to research partner companies, surface deal and performance signals from Salesforce and partner management tools, and draft partner-facing communications faster, so your time goes toward the strategy and conversations that require human judgment. Track partnership performance through KPIs and turn the data into action. When a partner is underperforming or stuck, you will diagnose what is in the way and move to fix it, not just report the gap. Stay ahead of how the iPaaS and integration ecosystem is evolving. You will bring insights on where new categories of partners are emerging and what competitors are doing in their channel programs before leadership has to ask. Navigate conflicts and

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. Celigo is seeking a proven, senior demand generation leader to own the full pipeline engine from always-on digital programs to brand and thought leadership amplification, digital events, and sales development. The right candidate brings a track record of building integrated, data-driven marketing motions in fast-growing B2B SaaS companies and can operate at both the strategic and executional levels. You will report to the VP of Revenue Marketing and serve as a key GTM partner to Sales, RevOps, and Marketing leadership. This role carries direct accountability for the marketing-sourced and marketing-influenced pipeline across new-logo and expansion efforts. What would you do if hired? Always-On Demand Generation Drive MQL-to-SQL conversion through full-funnel campaign architecture; from top-of-funnel awareness to qualified pipeline handoff Partner with Marketing Ops and RevOps to ensure clean attribution, lead routing, and funnel reporting in HubSpot and Salesforce Manage paid media budgets with a rigorous test-and-optimize cadence; own program ROI and CAC reporting Develop programs in partnership with ABX Campaign Architecture to drive account engagement and pipeline acceleration for target ICP accounts Content Strategy & Thought Leadership Promotion Lead content distribution strategy across owned, earned, and paid channels ensuring thought leadership assets (research reports, Gartner MQ, analyst content) are activated across every demand motion Collaborate with Product Marketing and Content teams to develop demand-generating content: webinars,