vmal/jobs_dataset huggingface dataset:
{"title": "Senior Software Engineer, Google Kubernetes Engine", "level": "Mid", "location": "Warsaw, Poland; Krak\u00f3w, Poland", "description": "Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nGoogle Cloud accelerates every organization\u2019s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google\u2019s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.", "key_qualifications": "Bachelor\u2019s degree or equivalent practical experience.\n5 years of experience with software development in one or more programming languages, and with data structures/algorithms.\n3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.", "preferred_qualifications": "Experience with programming in Kotlin or Java.\nExperience with a microservice-based architecture, database-heavy or high-traffic applications.", "responsibilities": "Be responsible for contributing to our team of Software Engineers, that deliver critical engineering components for Google Kubernetes Engine (GKE) Enterprise.\nDesign and develop high-scale, critical production systems.\nWork closely alongside Engineering Management, Program Management, and partner teams in GKE Enterprise to deliver customer impact.\nSupport and develop junior and executive engineers on the team to help them further their skill set.\nSet priorities for the local team and take responsibility for their delivery.", "company": "google"}
{"title": "Shopping Specialist gTech Ads", "level": "", "location": "Hyderabad, Telangana, India; Gurgaon, Haryana, India", "description": "Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.\nGoogle creates products and services that make the world a better place, and gTech\u2019s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers\u2019 complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.", "key_qualifications": "Bachelor's degree or equivalent practical experience. 2 years of experience in Digital Marketing and Advertising. Experience in Search Advertising, Consulting, and Google Shopping. Experience working with analytical problem-solving projects.", "preferred_qualifications": "Master's degree, PhD, or equivalent practical experience. Experience in cross-functional and multi-layered stakeholder project management, driving business outcomes and customer solutions through collaboration. Experience in campaign management and digital advertising (e.g., planning, measurement). Experience in SQL, Scripting, Dashboards, Automation, Search Engine Marketing.", "responsibilities": "Work across business and plan, pitch, implement, and optimize with other teams. Manage business objectives and be an advocate to drive performance and investment. Work with cross-site and cross-functional teams to drive account growth. Lead, drive, and scale product adoption (e.g., Performance Max, Local Inventory Ads, etc.).", "company": "google"}
title: Lead Senior Product Manager, Fitbit
level: Advanced
location: Warsaw, Poland
description: At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
key_qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch. 3 years of people management experience with direct reports.
preferred_qualifications: Master's degree in a technology or business related field. 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting). 4 years of experience in a role preparing and delivering technical presentations to senior leadership. 3 years of experience in software development or engineering.
responsibilities: Lead PRDs by collaborating with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements to turn PRDs into OKRs for multiple teams. Own and define project roadmaps. Drive development and secure buy-in for a product vision that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts. Manage validation of market size and opportunity (e.g., user-based, strategic opportunity, revenue). Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.
company: google
title: SoC Design Verification Engineer, AI Accelerators
level: Mid
location: Sunnyvale, CA, USA
description: Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
key_qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Experience with industry-standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips. Experience with SystemVerilog (i.e., SystemVerilog Assertions or functional coverage).
preferred_qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field. 4 years of experience in design verification. Experience verifying digital logic at Register-Transfer Level (RTL) using SystemVerilog for Application-Specific Integrated Circuits (ASICs). Experience in power aware verification, gate level simulations, and post silicon bring-up. Familiarity with ASIC standard interfaces and memory system architecture.
responsibilities: Plan the verification of complex digital design blocks, understand the design specification, and interact with design engineers to identify important verification scenarios. Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver correct design blocks. Close coverage measures to identify verification holes and to show progress towards tape-out.
company: google
title: Software Engineering Manager II, Google Payments
level: Advanced
location: Boulder, CO, USA
description: Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers...
key_qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)....
preferred_qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization....
responsibilities: Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals...
company: google
{"title": "Principal Engineer, Business Intelligence/AI Security, Google Cloud", "level": "Director+", "location": "Sunnyvale, CA, USA; Kirkland, WA, USA", "description": "Google Cloud Data Analytics is a suite of services that helps customers collect, store, process, and analyze data in the cloud. It includes a variety of tools and features that can be used to build data pipelines, create data warehouses, and run analytics queries. Google Cloud Data Analytics can be used to support a wide range of business use cases, from massive data-parallel batch pipelines to real-time streaming data.", "key_qualifications": "Bachelor\u2019s degree in Computer Science, related field, or equivalent practical experience. 15 years of experience in software engineering. 10 years of experience with enterprise and cloud security. Experience with security principles, authentication protocols, and threat modeling for BI, AI, and generative AI products and services. Experience providing the security of data analytics, ensuring the confidentiality, integrity, and availability of sensitive business data, in a highly regulated industry (e.g., information technology, healthcare, financial services, etc.).", "preferred_qualifications": "Experience leading technical strategy for long-term security, privacy, and compliance across BI and AI products. Expertise in addressing unique security challenges in cloud and hybrid environments, including GCP. Ability to collaborate effectively with diverse teams across different disciplines and organizations. Ability to collaborate closely with Engineering teams to ensure seamless implementation, fostering a culture of security excellence and efficiency. Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.", "responsibilities": "Partner with BI, Data Analytics, and GCP teams to ensure a holistic security approach, addressing both immediate needs and long-term strategic goals, and make informed decisions regarding product releases, including the authority to delay launches if security concerns are not adequately addressed. Foster a culture of security awareness and best practices across the organization, embedding security considerations into the design and development processes. Identify and address emerging threats to BI and AI systems proactively, including those unique to generative AI, such as model poisoning and adversarial attacks. Ensure the confidentiality, integrity, and availability of sensitive customer data, maintaining the highest standards of data privacy and security. Develop and implement a comprehensive security roadmap for BI and AI products and services, ensuring alignment with Google's overall security goals.", "company": "google"}
{"title": "Senior Manager, Central Cloud Strategic Insights", "level": "Advanced", "location": "Austin, TX, USA", "description": "Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Excellent at working on multiple projects at a time, you are focused on the details while finding creative ways to address big picture challenges.", "key_qualifications": "Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 14 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree. Experience building, developing and leading a team. Experience managing stakeholders", "preferred_qualifications": "Advanced degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Engineering). Knowledge of advanced analytics techniques and capabilities. Experience pushing the boundaries of data and developing novel approaches to shed new light on difficult questions. Experience successfully scaling an analytic or Strategic Finance function in the Enterprise or B2B, at a fast-paced/high growth technology company. Ability to partner with executive stakeholders to define analysis requirements and priorities, develop and execute strategy, and balance short vs long-term deliverables. Strong business acumen with an understanding of business drivers and value-creation", "responsibilities": "Deliver insights to management on major competitive dynamics and landscape shifts; Perform ad hoc analysis including, but not limited to, competitive strategy reaction, competitive external statements tracking and strategic implications. Incorporate competitive insights into Google Cloud\u2019s long-range planning and influence M&A roadmap development; Collaborate with Strategy & Operations teams to define and quantify the addressable market. Develop a governance model and tracking mechanism to manage data and process for disclosing metrics externally; Establish statistical framework/analyses and surface insights to enable exec-level resource allocation decision making. Drive automation and scale across long-range analytical solutions working with Google Cloud Finance Optimization Office and Corporation partners to deliver best in class solutions. Own the delivery of highly sensitive financial information to regulators including working with alphabet regulatory finance, legal teams and outside counsel", "company": "google"}
title: Technical Program Manager, Technical Infrastructure
level: Mid
location: Sunnyvale, CA, USA
description: A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’re equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us.
key_qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience with systems engineering and mission critical or adjacent industries. 2 years of experience managing projects.
preferred_qualifications: Knowledge of financial analysis including Total Cost Ownership. Knowledge of data center infrastructure. Ability to forecast resource requirements in a data-driven way. Excellent communication skills, with the ability to tailor format and style to match the situation whether in person, emails, documents, or presentations. Excellent data analysis, risk assessment, and problem-solving skills.
responsibilities: Collaborate with engineering, supply chain, and project execution to develop market requirement documentation. Provide Technical Program Management support for several concurrent projects that span mechanical engineering, electrical engineering, systems engineering, and controls. Design and ensure effective execution of the interface between project teams and equipment vendors, including readiness reviews with cross-functional teams.
company: google
title: Software Engineer III, Machine Learning, Google Cloud Data Management
level: Mid
location: Sunnyvale, CA, USA
description: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
key_qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with data structures or algorithms in either an academic or industry setting. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
preferred_qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering.
responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
company: google
{"title": "Software Engineer III, Infrastructure, Google Cloud Application Modernization", "level": "Mid", "location": "Seattle, WA, USA", "description": "Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google\u2019s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.", "key_qualifications": "Bachelor\u2019s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.", "preferred_qualifications": "Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering.", "responsibilities": "Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.", "company": "google"}
title: Software Engineer (For Women in Tech Candidates)
level: Mid
location: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil
description: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
key_qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
preferred_qualifications: Master's degree or PhD in Computer Science, or a related technical field.
responsibilities: Provide technical leadership and team development.
company: google
title: Software Engineering Manager II, Geo
level: Advanced
location: Sydney NSW, Australia
description: Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers...
key_qualifications: Bachelor’s degree, or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing strategic projects, with 2 years of experience in a people management, supervision/team leadership role.
preferred_qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization.
responsibilities: Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
company: google