Tools And Automation Engineer Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Strategic Sourcing Manager you will lead the contract and pricing negotiations of software and tools. In addition, you will work with cross-functional teams to ramp efficiently. You will demonstrate domain expertise in software licensing modeling and contract negotiations. You Will: Assist and support stakeholders with the vendor review process for BATNA purposes and articulating business justification. Demonstrate ability to analyze and interpret spend and cost data, including understanding of Total Cost of Ownership Work collaboratively across Roblox and particularly within the Roblox Corp Eng organization. Work closely with stakeholder teams to forecast the Technology needs for our rapidly growing company Showcase your strong contracting experience and understanding of business risks and address them on legal documents with potential suppliers. Work with our Legal team to manage the review and approval of Master Service Agreements, Terms of Service, NDAs, and End User License Agreements with our vendors prior to business being initiated. Drive price and term negotiation processes to ensure that Roblox’s pricing is best in class and with risks mitigated on contract Drive

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate,

Asana is evolving into a platform where humans and AI agents work together, and Core Integrations is helping make that platform more connected, extensible, and enterprise-ready. This team builds the extensible foundations and developer-facing capabilities that help customers, partners, and developers ensure Asana can meet their specific needs. We’re looking for a hands-on, technically strong Engineering Manager who thrives in ambiguity, cares deeply about developer experience, and can help a high-performing team ship high-quality products at the intersection of integrations, platform, and AI. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Manage and coach 6–8 engineers, fostering an inclusive culture and establishing team rituals that drive both excellence and professional growth. Servant leader who smooths the road for teams to execute Partner with product, design, professional services and UXR to translate customer pain points into a reliable technical MVP and a scalable architectural roadmap. Collaborate with cross-functional partners to balance large-scale feature launches with iterative, daily product enhancements. Guide the articulation and execution of the team’s work and ensure the team’s work ties back into high-level business goals Use your curiosity and technical taste to maintain a high bar for quality and experience on the part of the team. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 6+ years of relevant experience with leadership experience

The opportunity Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute. 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 help our Datadogs find a work-life rhythm that works for them. What you’ll do Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product. Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery. Design clear, trustwort

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

MongoDB seeks an experienced Software Engineer to help level up IT and launch a new engineering team. This team will work alongside the Internal Engineering department, building enterprise-grade software to enable coworkers to be more effective and efficient. As a Software Engineer, you’ll be contributing to internal tools and platforms, helping design, build, and maintain software that supports critical workflows across the organization. Our ideal candidate Has 2-5 years of professional software engineering experience Experience with a modern programming language (Python, Go, Rust, etc.) Excellent communication skills and a strong desire to solve complex technical problems Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or similar) Collaborative, detail-oriented, and passionate about developing usable software Bonus Round Experience building full-stack applications, from front-end UIs to backend API handlers to DB migrations Knowledge of any of the following technologies: Next.js, FastAPI, React Position Expectations Build and maintain internal tools and platforms to improve workflows and efficiency Write clean, maintainable code to fix bugs and add new features Collaborate with other engineers and teams to prioritize work and deliver high-impact solutions Success Measures In three months, gain familiarity with internal platforms and workflows, contributing meaningfully to ongoing projects In three months, reduce manual friction for internal processes by delivering functional features or improvements In six months, implement tooling or enhancements that significantly improve internal engineering efficiency and productivity About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We view our Account Development program as the best way to turbocharge a long and successful career in sales and view our Account Development Representatives (ADRs) as the next wave of Account Executives at MongoDB. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The Opportunity Being an ADR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our ADRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here. Our ADRs gain an understanding of our product, community, who we sell to, why they care, and what makes us relevant. They learn how to generate a pipeline quickly and effectively as well as how to achieve a good discovery and qualification. The team is a crucial resource for sales teams across MongoDB to get great talent from. This helps us scale our teams, as well as

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. At MongoDB, our Account Development team works closely with our partners in both Sales and Marketing to build fanatical customer enthusiasm around MongoDB. ADR reps are responsible for identifying and qualifying new opportunities for our sales organization. We view our Account Development program as the best way to turbocharge a long and successful career in sales and view our Account Development Representatives (ADRs) as the next wave of Account Executives at MongoDB. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The Opportunity Being an ADR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our ADRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here. Our ADRs gain an understanding of our product, community, who we sell to, why they care, and what makes us

At MongoDB, our Account Development team works closely with our partners in both Sales and Marketing to build fanatical customer enthusiasm around MongoDB. ADR reps are responsible for identifying and qualifying new opportunities for our sales organization. We view our Account Development program as the best way to turbocharge a long and successful career in sales and view our Account Development Representatives (ADRs) as the next wave of Account Executives at MongoDB. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The Opportunity Being an ADR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our ADRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here. Our ADRs gain an understanding of our product, community, who we sell to, why they care, and what makes us relevant. They learn how to generate a pipeline quickly and effectively as well as how to achieve a good discovery and qualification. The team is a crucial resource for sales teams across MongoDB to get great talent from. This helps us scale our teams, as well as ensure that we have a culture of meritocracy. Day to Day Identify high-potential businesses that would be a good fit to work with MongoDB across your region Work with the Sales team to develop and lead inbound and outbound campaigns from idea-generation through to qualified call Develop strong sales and product knowledge Inter

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a driven Sales Enablement Manager to support our growing sales function in Japan. This role will help shape and scale regional enablement strategy and roadmap, partnering closely with Japan Sales leadership and cross-functional stakeholders to identify market-specific needs and deliver impactful programs. You’ll adapt global onboarding and enablement initiatives for Japan, ensuring they reflect local buyer expectations, sales motions, and cultural nuance. You’ll build practical tools and content that improve seller productivity, strengthen pipeline generation and deal progression, and drive consistent execution across the region. This is a full-time hybrid role based out of our Japan hub. What you’ll do at Figma: Partner closely with Global Sales Enablement and Japan Sales Leadership to design, build, and execute enablement programs for Japan Diagnose where reps and managers need the most support across pipeline generation, deal progression, and deal execution Adapt and regionalize global programs, content, and frameworks for the Japan market, balancing consistency with local relevance Build repeatable sales motions, processes, playbooks, and manager-facing tools that help the field execute more effectively Produce, curate, and maintain enablement content and assets that reflect regional priorities and market nuance Program manage ongoing sales trainings and enablement initiatives across Japan Facilitate effective in-person and virtual training sessions, workshops, and deal-ba

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a software engineer to help build the design methodology, software abstractions, and infrastructure that enable a small silicon team to develop complex chips rapidly and with high confidence. You will turn evolving architecture and design needs into reusable tools and workflows that improve iteration speed, quality, and then apply those tools to help construct world-class silicon. You’ll work closely across architecture, design, verification, performance modeling, and systems software. This role is well suited for an engineer who enjoys building high quality software and is motivated by the challenge of improving velocity and quality of the silicon development process. In this role, you will: Develop and scale design methodologies for rapid first-party chip development and apply them to construct complex custom chips Create abstractions that allow hardware structures, configurations, experiments, and results to be represented consistently across tools. Automate high-value engineering workflows and improve their reproducibility, observability, testability, and ease of use. Partner with architects, RTL designers, verification engineers, compiler engineers, and systems software engineers to gather requirements and then implement solutions. Use methodology and tooling to identify design risks early, accelerate iteration, and improve confidence in performance and implementation tradeoffs. Contribute across multiple aspects of software and hardware

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities Co-design future hardware for programmability and performance with our hardware vendors Assist hardware vendors in developing optimal kernels and add support for it in our compiler Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory h

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali