Atlassian jobs - 2,639 jobs

A leading technology company is seeking a Finance professional to join its Marketplace Topline team in San Francisco. Applicants should have at least 5 years of experience in financial planning and analysis, preferably in the tech industry. Responsibilities include supporting financial deliverables, analyzing marketplace data, and collaborating with teams to optimize revenue processes. Ideal candidates will possess strong financial modeling skills and the ability to communicate insights effectively. This role provides flexible working options, prioritizing a balanced lifestyle. #J-18808-Ljbffr

A leading tech company in Sunnyvale is seeking a Mid-level Product and Business Strategy Leader. You will partner with cross-functional teams to optimize complex enterprise portfolios and enhance Google Cloud's operational processes. The ideal candidate will have a Bachelor's degree and 8+ years of experience in management consulting or product management. Strong project management skills are essential. The role offers a competitive salary between $144,000-$211,000, plus bonuses and equity. #J-18808-Ljbffr

Google Sunnyvale, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply Qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working with and analyzing data, and managing multiple projects. Preferred qualifications: Experience in managing complex, global and cross‑functional projects. Ability to optimize business cadence, including operational reviews such as OKR and initiative reviews ensuring strategic alignment and execution. Ability to oversee audit and compliance activities to ensure adherence to organizational standards and mitigate risk. Ability to influence and engage with cross‑functional teams and executive stakeholders, driving alignment and achieving results. Ability to prioritize tasks with attention to detail and complete workload in a timely and effective manner. Excellent project management skills. About the job Product and Business Strategy Leaders bring together teams across Google's functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross‑cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. Google Cloud accelerates every organization's digital transformation by delivering enterprise‑grade solutions that leverage Google's technology and tools to help developers build more sustainably. Customers around the world turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. In this role, you will be responsible for the applications and platforms that drive cloud marketing, sales, partner, support, finance and other critical functions that run the Google Cloud business. You will deliver end‑to‑end solutions leveraged by cloud customers, partners, and Googlers alike that enable rapid growth and increase the adoption of Google Cloud around the world. The US base salary range for this full‑time position is $144,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Partner with Google Cloud Business Platform's (GCBP's) cross‑functional leadership to optimize and manage GCBP's complex enterprise portfolio. Refine and drive GCBP's H1/H2 planning processes, tooling standardization (Chiron/Taskflow/ServiceNow), and comprehensive Software Development Life Cycle (SDLC) monitoring and reporting. Lead GCBP's Objectives and Key Results (OKR) management lifecycle, encompassing annual development, metrics definition, and quarterly tracking. Optimize GCBP's business cadence, including operational reviews such as OKR and initiative reviews, to ensure strategic alignment and execution. Manage commitment and delivery communications to stakeholders, ensuring they are informed and aligned on progress. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Google Goleta, CA, USA ; Los Angeles, CA, USA ; +2 more Apply X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; San Francisco, CA, USA. PhD degree in Physics, Computer Science, Engineering, Quantum Information Science, or a related technical field or equivalent experience. 2 years of experience in Quantum Computing, Chemistry, Computational Physics, Mathematical Modeling, or Applied Mathematics. Experience with experimental operation of quantum systems. Preferred qualifications: Experience contributing to or leading projects within large-scale industry or scientific collaborations. Demonstrated expertise in quantum protocols, characterization methods, and advanced error mitigation/suppression techniques. About the job This is a high-impact Senior Research Scientist role focused on pathfinding leading‑edge techniques for practical quantum computation on Google's state‑of‑the‑art processors. Leveraging a strong theoretical foundation, you will bridge the gap between abstract protocols and real‑world hardware, developing methods that accelerate performance on current noisy processors and toward future error‑corrected systems. As a senior member of the team, you will have a large scope of influence, leading the way in the theory, numerical modeling, and optimization of existing approaches while playing a key role in complex and flagship quantum experiments. Your work will not only evolve the state‑of‑the‑art but will directly influence the trajectory of the field and the realization of large‑scale quantum computation at Google. The full potential of quantum computing will be unlocked with a large‑scale computer capable of complex, error‑corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full‑time position is $166,000‑$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Lead and drive the research and development of error mitigation, suppression, and robust protocols. Architect the theoretical mitigation frameworks for flagship experiments and demonstrations. Bridge the gap to experiment by driving rigorous numerical simulations and modeling. Work in a tight feedback loop with experimentalists to solve the bottleneck problems defining the path to noise‑free results. Work across several Google teams to collaborate on real‑world use by the teams and the research community. Pioneer and publish high‑impact findings. Facilitate impact on experiments and the research community, through proactive, clear communication across theoretical and experimental teams and conferences. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company located in Sunnyvale, CA is looking for an ASIC Physical Design Engineer to drive the development of cutting-edge TPU technology, crucial for AI/ML applications. The role requires 7 years of physical design experience, proficiency in Python, and collaboration with various teams to optimize design outcomes. The position offers a competitive salary range of $156,000-$229,000, plus bonus and benefits. #J-18808-Ljbffr

A technology company located in Mountain View is seeking a Financial Analyst to oversee critical financial decisions by modeling business scenarios and tracking performance metrics. The successful candidate will partner with various teams to manage M&A activities, produce financial analyses, and deliver insights to senior management. The position requires a strong background in finance and exceptional analytical skills. This role offers a competitive salary and includes benefits, equity, and a bonus structure. #J-18808-Ljbffr

Google, Mountain View, CA, USA Required Qualifications Bachelor's degree or equivalent practical experience. 4 years of experience in product research in an applied research setting, or similar. Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go). Experience applying statistical methods (e.g., significance testing, regression, experimental design) to behavioral data. Experience with two or more of the following methodologicalenergie areas: causal inference frameworks (e.g., Campbellian, Rubin's Potential Outcomes, or Pearl's DO Calculus), observational methods (e.g., matching, weighting, or causal graphical models), or quasi-experimental methods (e.g., instrumental variables, diff-in-diff, regression discontinuity, or synthetic controls/interrupted time series). Preferred Qualifications Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. 3 years of experience working with executive leadership (e.g., Director level and above). Experience analyzing user behavior in B2B contexts, enterprise software, CRM platforms, or support tooling. Experience analyzing or measuring AI features, outputs or capabilities. Ability to influence,截至product decisions and strategy with data. About the job At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible. Google User Experience (UX) is made up of multidisciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and شک behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses. As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers меры product managers, and engineers about userструкт needs. You'll play a critical role in creating useful, usable, and delightful products. You'll work with stakeholders across functions and levels and have impact at all stages of product development. You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You'll combine skills in behavioral research design, statistical methods, and general programming to improve user experience. The Quantitative UXR community at Google will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools. _arr> Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel, and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $129,000‑$185,000 plus bonus plus equity plus benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Google is a global company and, in order to facilitatecić efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. Responsibilities Plan and execute quantitative studies to evaluate user behavior and improve the experience across Customer Engagement (CE) platforms. Apply advanced statistical methods to large‑scale log and survey data to identify user pain points and measure satisfaction. Design and interpret A/B experiments to measure the impact of product changes on key success metrics and user behavior. Partner with Program Managers, engineers, and other researchers to define metrics, ensure data instrumentation, and provide a holistic view of the user journey. Translate complex quantitative findings into clear, actionable recommendations for cross‑functional stakeholders at all levels. பேர்> #J-18808-Ljbffr

corporate_fare Google place Mountain View, CA, USA Apply Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with an advanced degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution. Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. Build and prototype analysis and business cases iteratively to provide insights at scale. Develop knowledge of Google data structures and metrics, advocating for changes where needed for product development. Influence across teams to align resources and direction. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Copy link Google Sunnyvale, CA, USAMidExperience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with RTL coding, Verilog, or SystemVerilog. Preferred qualifications: Experience with scripting language (e.g., Python or Perl). Experience applying engineering best practices (e.g. code review, testing, refactoring). Experience interacting with software, architecture, and other cross-functional teams. Knowledge of processor design or accelerators. Knowledge of high-performance and low power design techniques. Knowledge of processor design, accelerators, or memory hierarchies. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an RTL Design Engineer, you will be part of a team developing ASICs to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Understand the overall application of the chip, proposing and developing improvements in overall design. Design and document one or more blocks of an ASIC, including functionality and timing. Work closely with software teams on functionality, interfaces, and documentation. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. #J-18808-Ljbffr

A leading content management company is seeking a Solutions Engineer to empower business and IT leaders in implementing customer-centric solutions. This role involves extensive collaboration with account teams to drive revenue opportunities while acting as a vital liaison between sales and product functions. Ideal candidates have 5+ years in pre-sales or solutions engineering, are AI-curious, and possess strong presentation skills. This position offers a competitive salary and opportunities for growth within a dynamic team. #J-18808-Ljbffr

New York, NY, USA; San Bruno, CA, USA By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Bruno, CA, USA. Required Qualifications Bachelor's degree or equivalent practical experience. 4 years of experience in a management consulting, sales operations, business strategy or corporate advisory role. 3 years of experience in a strategy and operations or consulting role. 3 years of experience working with executive stakeholders. Preferred qualifications: 2 years of experience creating complex data sets, data modeling, and reporting. 2 years of experience in advertising, consultative sales, business development, or a digital media environment. Experience in consumer internet and media industries. Experience using SQL or data analytics tools to deliver insights and recommendations. About the job The YouTube Business Central Strategy and Operations Team is responsible for leading global, cross‑functional initiatives to drive the unprecedented growth and health of the YouTube creator and partner ecosystem. The core capabilities of the team include planning and business operations, incentives design and operations, and business strategy and operations for the three regions: Americas, EMEA, and APAC. In this role, you will be a key partner to the YouTube and Google Business Organization brand agreement teams and leadership, helping them to drive brand sponsorships for YouTube. You will demonstrate strong problem‑solving, program management and cross‑functional collaboration with multiple levels of the organization, and pragmatism in accomplishing goals effectively. The US base salary range for this full‑time position is $118,000‑$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Drive and execute strategy for brand agreements and partnerships across YouTube and Google. Design and establish operational processes to facilitate sponsorship agreements for YouTube creators. Synthesize and prioritize creator feedback; make recommendations on the operating model. Work seamlessly with the YouTube Partnerships team and Google Business Organization to drive business outcomes and facilitate partnership opportunities, while also leading cross‑functional projects working with a broad stakeholder set. Analyze data trends to generate insights to influence brand agreements roadmap and drive market growth. Develop global and market insights, keeping a pulse on the creator marketing industry and engaged platforms to synthesize key trends, gaps, and opportunities for YouTube. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Google San Francisco, CA, USA Apply X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Bachelor's degree or equivalent practical experience. 8 years of experience in full-cycle new business sales, including self-sourcing greenfield accounts, building a book of business, and closing. Experience selling to mid-sized or mid-market advertisers, including C-level stakeholders. Preferred qualifications: Experience selling complex solutions in the technology, advertising современных или media space with strong performance against sales quotas. Experience in educating new advertisers on the value of digital advertising, with emphasis on Google's advertising products. Ability to coach, develop, or manage other new business account executives. Excellent communication skills, with the ability to provide comprehensive advertising solutions to prospective clients. About the job Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI‑era, and make a real impact on the millions혼 그 companies and billions of users that trust Google with their most important goals. As a Senior New Business Sales Principal, you will inspire and acquire the highest potential advertisers to grow with Google. You will use your ability to influence and strategically manage a pipeline of new Google advertisers to shape and execute a go‑to‑market strategy within specified verticals. You will represent the business for key internal stakeholders, work with the highest potential and most demanding clients and operate as key business growth drivers for their region. Additionally, you'll lead and coach Account Executives working within Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing déclaration. The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Develop a quarterly strategic plan within your vertical to drive business and productivity growth for you and your teammates. Work with management to implement systems that support the execution of your strategy, including organizing training programs and influencing cross functional partnerships. Coach towards excellence within your sales vertical to support the team's pipeline development and go-to-market best practices. Partner with adjacent Sales teams to develop funnel support of your vertical, including lead prospecting and sales upskilling. Reach business growth goals by standardizing client best practices within your own book and getting involved in strategic, high-potential agreements within your vertical pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and HowAko hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading software company is seeking an Engineering Leader to join their Data Engineering team. This role focuses on building scalable data products that inform strategy and crucial decisions. The ideal candidate has extensive experience in data strategy, managing large teams, and delivering analytical solutions. You will collaborate with various teams and work in a remote position. Competitive compensation is offered with a focus on pay equity and includes a wide range of benefits. #J-18808-Ljbffr

A leading tech company is seeking an RTL Design Engineer in Sunnyvale, CA to shape the future of AI/ML hardware acceleration. The ideal candidate will work on cutting-edge TPU technology, taking part in ASIC development to enhance computational efficiency in data centers. Responsibilities include defining project scope, design, and documentation of next-generation data center accelerators, alongside collaborative efforts with cross-functional teams to drive innovations that empower billions of users globally. Comprehensive education and experience in relevant engineering fields are essential. #J-18808-Ljbffr

Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed. Your Future Org Atlassian's Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian! This role is located in the Pacific Time Zone. You must be willing and able to work out of this time zone to qualify. This position is not eligible for F1 and J1 students. It is not available for any work sponsorship. Our paid internship program runs for 12 weeks between May/June 2026 - August/September 2026. Your Future Team Atlassian is looking for Product Design Interns to join our growing Design teams in Australia, India and the US. Join Atlassian as an intern and spend your internship having an impact on how millions of users collaborate and use software. The most amazing thinkers-like NASA rocket scientists and Tesla engineers-are coming to us for solutions. We're in the business of designing software to help teams everywhere get amazing ideas on the ground and into the world. Sound like an exciting place to start your career? Here you'll be encouraged to use your imagination and try new things. You'll join a team that is smart and very direct. We challenge each other to improve our work, learn, and ask hard questions. You will learn from top-tier designers in the industry about AI patterns, prototyping, motion, and visual design; alongside experiences using advanced design systems, user testing and experimentation. Our bottom line is improving our user's experience-no matter what. Responsibilities Gain valuable exposure to the design and product development process by working on a real Atlassian project. Be mentored by our experienced designers in shaping your internship outcomes. Experience Atlassian's culture through our many companywide and cross-regional programs. Qualifications Minimum Qualifications Able to commit to a 12 week full-time (40hrs/week) program during Summer 2026 Currently enrolled full-time in a 4-year bachelors or 2-year masters degree program and returning to the program after the completion of the internship, graduating by June 2027 Please note: At this time, this role is only open to entry-level candidates with less than a year of professional experience (this does not include internships/co-ops) Preferred Qualifications Experience with user-focused design Demonstrate the ability to plan while juggling multiple simultaneous projects Experience collaborating with team members, like engineers and product managers, and other designers Compensation We tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are: Zone A: $49/hr - $55/hr Zone B: $44/hr - $50/hr Zone C: $41/hr - $46/hr Within each range, base pay is ultimately determined based on your skills, expertise, and experience. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Bachelor's degree in Computer Science or equivalent practical experience. 15 years of experience leading software teams across multiple geographies with a focus on developing AI and ML-based solutions in health. Experience with leading research and development initiatives. Preferred qualifications: Master's or PhD in Computer Science or equivalent practical experience including fields like Bio Engineering. Experience developing AI and ML-based solutions for consumer health including contributions to foundation model development, agentic architectures, and health sensing algorithm development. Experience in leading customer health and wellness engineering and Research and Development (R&D) efforts. Experience developing regulated health algorithms. Experience on working with highly cross-functional teams. Understanding of the limitations of sensing and AI capabilities to help inform strategy on how to address those gaps, as well as an understanding how best to translate research into practice. About the job As Director of Research and Engineering, you will lead a research and engineering team focused on delivering an AI-based health and wellness experience and health sensing solutions that leverage all of the emerging AI capabilities in the computing community, as well as the best that Gemini base model offers. You will utilize experience in AI, machine learning, and health sensing, and an understanding of the process of scaling and shipping these kinds of AI-centric products. The role is highly cross-functional and you will work across many organizations including Research, Product, Program, UX, all other parts of Engineering, and legal/regulatory. You will be fully accountable for marshaling resources, managing all aspects of the team's work in this area, setting and driving the strategic direction, and creating a highly collaborative environment both within and outside of the team. The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users' homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it. The US base salary range for this full‑time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training; your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Deliver an excellent personal health agent and health sensing algorithms by leveraging emerging AI capabilities and Gemini. Oversee the entire lifecycle of new health features, from initial research and roadmap development to productization, including the early discovery phase and translating those innovations into user‑facing products. Work with a wide range of teams, including Research, Product Management, Program Management, UX, Engineering, and Legal/Regulatory, and educate other functions on the possibilities and limitations of new technologies. Lead a team of software engineers and research scientists. Develop strategies to navigate the complex and novel regulatory environment of health technology. Be fully accountable for the strategic direction of the personal health agent and health sensing initiatives, including resource allocation. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed. Your Future Org Atlassian's Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian! This role is located in San Francisco. You must be willing and able to work within 50 miles of our San Francisco office to qualify. Housing support will be provided. This position is not eligible for F1 and J1 students. It is not available for any work sponsorship. Your future team At Atlassian, our machine learning teams tackle business and product challenges across the company. Collaborating with stakeholders in Growth, GTM, Product, Finance, Design and Sales, we deliver machine learning infrastructure and model applications. Our teams, comprised of ML engineers and system engineers, foster collaboration, knowledge sharing, and individual growth. They operate nimbly, emphasizing speed from conceptualization to initial output while maintaining a strong focus on business impact. This role offers a unique chance to work in a collaborative environment and implement cutting-edge machine learning techniques, including search/recommendation engines, GenAI applications, LLM fine-tuning, prompt engineering, RAG optimizations, and more. Responsibilities Focus on Machine Learning applications and ideas for recommendation and personalization Build machine learning models and work on Generative AI projects Translate business problems into technical solutions Qualifications Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience) Experience writing software with minimal bugs in Python, Scala, Kotlin or Spark; SQL experience a bonus Experience building machine learning models in academic coursework or related industry intern experience Able to commit to a 12 week full-time (40hrs/week) program during Summer 2026 Currently enrolled in a full-time masters degree program and returning to the program after the completion of the internship, graduating by June 2027 Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $54/hr - $61/hr Zone B: $49/hr - $55/hr Zone C: $45/hr - $51/hr This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits and Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit Atlassian Internships: Students and New Grads | Atlassian. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

corporate_fare Google place Sunnyvale, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link Copy link Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience with physical design. Experience in physical design areas such as synthesis, place and route, Static Timing Analysis (STA), verification, or power analysis. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience in block/subchip level PnR for complex SoC. Experience with multiple-cycles of SoC in ASIC design. Experience with scripting languages such as Perl, Python, or Tcl. Experience with layout verification and design rules. Experience in IP integration (e.g., memories, IO's and Analog IP) with the knowledge of semiconductor device physics and transistor characteristics. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a System on a Chip (SoC) Physical Design Engineer, you will collaborate with Register-Transfer Level (RTL), Design for Testing (DFT), Floorplan, and full-chip Sign off teams. Additionally, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the Physical Design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register-Transfer Level-to-Graphic Design System . Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro-architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A technology collaboration company is seeking a Machine Learning Systems Engineer. This role involves building and scaling core infrastructure for AI and ML, mentoring junior engineers, and leading projects from design to launch. Candidates should be fluent in Java or Kotlin and have experience with AWS and machine learning. The position offers remote work options and competitive compensation ranges based on geographical zones. #J-18808-Ljbffr