Conviva jobs - 2,608 jobs

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence-linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology , the Conviva Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust. Conviva engineers build and operate distributed systems that handle five trillion events every day, achieving performance at a scale comparable to the world's largest analytics platforms. We are looking for a highly motivated and self-driven backend engineer who is passionate about distributed systems, large-scale data infrastructure, and performance optimization. In this role, you will design and build core components of Conviva's real-time analytics platform, collaborating with a small, world-class team where every technical decision matters. Our engineers combine academic depth with practical innovation, contributing to research publications and advancing the state of large-scale distributed data systems. What Success Will Look Like: Design and develop our specialized, high-performance query engine layer, to handle complex stateful patterns and real-time analytics. Develop advanced query optimization strategies and performance modeling tools to ensure low-latency responses across trillion-event datasets. Architect and evolve distributed system components that prioritize scalability and fault tolerance for next-generation OLAP workloads. Partner with cross-functional teams to identify and unlock latent capabilities within our storage and query infrastructure. Refine the core data processing layer to maximize efficiency and reliability across massive, high-cardinality datasets. Facilitate seamless data flow by integrating high-performance analytical solutions into the broader distributed ecosystem. Stay up to date with advancements in distributed databases, stream processing frameworks, and cloud infrastructure, evaluating new technologies for their impact and scalability. Who You Are & What You've Done: BS, MS, or PhD in Computer Science or a related field. Strong foundation in computer science fundamentals, including algorithms, data structures, and networking. Proficiency in C++, Rust, Scala, Java, or similar systems programming language. Proven experience designing or building large-scale distributed systems, ideally in production environments. Hands-on experience with big data platforms and query engines (e.g., ClickHouse, Apache Druid, Presto, BigQuery, and others). Familiarity with distributed stream processing frameworks such as Akka Streams, Apache Spark, or Apache Flink. Demonstrated expertise in performance analysis and tuning for distributed systems. Strong collaborator with experience mentoring others, driving initiatives, and contributing to a positive engineering culture. Adaptable and comfortable working in a fast-paced, evolving environment. Preferred Qualifications: Experience building and scaling systems in SaaS or data infrastructure environments. Contributions to open-source projects in distributed systems, databases, or analytics. Knowledge of OLAP architecture, columnar storage, and high-performance query execution. The expected salary range for this full-time position is $170,000 - $230,000 + equity + benefits. Compensation and actual level will be determined by numerous factors such as your qualifications, experience, and relevant education or training. To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit ***************

corporate_fare Google place New York, NY, USA ; 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Francisco, CA, USA. Bachelor's degree or equivalent practical experience. 15 years of experience working in a creative discipline (e.g., writing, filmmaking, video editing, design, art direction, photography, etc.). A portfolio of creative work displaying experience in (brand, interactive, conceptual, experiential, or technology) design. Preferred qualifications: Experience crystallizing complex brands and product portfolios into simple concepts and compelling creative articulations. Ability to lead, communicate, and be a thought leader on marketing techniques, trends, engaged landscape and best practices. About the job As a Group Creative Lead, you'll be the architect and leader behind our Creative Center of Excellence (CoE), a team of creatives responsible for delivering breakthrough assets that capture attention and fundamentally shift perception in today's ads industry. Your influence will span from owning the overarching strategic goal for the Creative CoE and refining the Ads Marketing wider brand strategy, to orchestrating iconic creative for events like Google Marketing Live and Think Week. You will lead the development of high-production-value anthem videos and scalable content bundles, ensuring our narratives resonate broadly. You will be a leader who can command high-profile productions, overseeing our in-house team and agencies to deliver Google Grade quality that cuts through the noise. You will advocate creative excellence, building the guidelines and infrastructure to inspire marketers globally. Beyond the creative output, you will cultivate and own agency relationships, pushing the boundaries of innovation. You will work with leadership across Product, Sales, and Go-To-Market teams, ensuring our creative goal aligns with business goals. You will navigate complex cross-functional relationships, inspiring accountability and resourcefulness, and leading with goal and agility, even in fast-moving, resource-constrained environments. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. The US base salary range for this full-time position is $221,000-$311,000 + 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 Own the creative CoE strategic goal. Lead the Ads Marketing Creative CoE, owning its strategic goal, refining the operating model and Marketing's brand strategy. Oversee the creative strategy and execution for Google's events, including Google marketing live and think week. Lead the concept, development, and production of asset bundles, including high-production-value anthem videos and content bundles designed for broad distribution and scaling across channels and audiences. Provide leadership to your team, fostering a culture of accountability, innovation, and resourcefulness. Inspire them to deliver exceptional results in a fast-moving, sometimes resource-constrained, environment. Navigate cross-functional partnerships. Work with leadership across Product, Sales, and GTM teams to align creative strategies with business goals. 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 tech company is seeking a Senior Product Manager for the Creators on Search team based in Mountain View, CA. The role involves defining product strategies and collaborating with various teams to improve user engagement through innovative features. Candidates should have strong product management experience, with a focus on creator-centric products. The position offers a competitive salary ranging from $183,000 to $271,000 plus bonuses and benefits. #J-18808-Ljbffr

Google Sunnyvale, CA, USA Director+ Apply Master's degree in Engineering, Finance, or a related field, or equivalent practical experience. 15 years of experience building and executing multi-group and multi-disciplinary projects in infrastructure, data center technology, or global supply chain planning. Preferred qualifications: Professional Engineering Certification. Experience in financial modeling and understanding of utility agreements and energy challenges. Experience in managing complex vendor relationships and contracts, and understanding standard practices in the design and construction industry. Expertise in data center technology, industrial class electrical and cooling technology, or other related areas of technical infrastructure. About the job Google's Cloud and Technical Infrastructure teams power the global platform that underpins all of Google's services and cloud platforms. Navigating a future of increasing complexity, extreme demand volatility, and significant capital investment requires a clear, unified, and aligned long-range vision. Google Global Fleet (GGF) is responsible for demand planning, supply matching, ordering, and advanced tooling to drive Alphabet's infrastructure investments. As the Director of Technical Program Management, Long Range Planning, you will be responsible for leading the strategic development, management, and communication of a consensus-driven infrastructure demand plan focused on a long-range horizon (>18 months). This critical plan serves as the primary strategic signal for our global supply chain, finance, and engineering partners to guide massive capital and resource deployment across the company's technical infrastructure portfolio. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $272,000-$383,000 + 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 Own Long Range Demand Planning (LRDP) process (e.g., monthly or quarterly) to explore a wide variety of rolling >18-month demand forecast scenarios for infrastructure capacity, technology, and materials. Identify and analyze significant gaps and "go-gets" for supply chain and infrastructure teams, highlighting areas where scenario demand exceeds capacity. Act as a single source of truth for committed long-range plan, ensuring it's effectively communicated to downstream partners (e.g., Supply Chain, Engineering, Product Management) to drive capacity, material, and capital planning. Model impact of key strategic drivers on the long-range plan, including new product introductions (NPIs), end-of-life (EOL) transitions, and technology refreshes. Continuously identify and manage opportunities for improving the LRDP process, tools, and models to increase efficiency and forecast accuracy. Travel up to 30% of the time. 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 - Mountain View, CA, USA; New York, NY, USA (Preferred location) Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Requirements: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree. Preferred qualifications Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with Gen AI Evaluation Science, ML and modern AI. Experience working with peers and more executive stakeholders. Ability to manage a product quality flywheel to inform iterations in model and product development. About the job Google Shopping is a comprehensive product search engine, a fast‑growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on Shopping products on various surfaces including .com, AI Mode, and Gemini. We are a shopping feature data science (DS) team within the Consumer Shopping DS, focused on building and evaluating AI‑driven shopping experiences in Search (e.g., AI mode, AI Overview, etc.). As a Senior Data Scientist, you will lead analytics and measurement for key shopping features, working closely with Product and Engineering to shape development, experimentation strategy, and long‑term roadmap decisions. You will play a critical role in defining how we build and measure user experience within emerging AI‑powered features, delivering insights that directly influence product evolution. By applying advanced experimentation and analysis, you will drive data‑informed decisions across our AI‑driven shopping surfaces. 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 Lead analysis to shape the direction of AI‑powered shopping features in Search and AI mode, including areas such as brand profile, user generated content and next‑generation shopping experiences. Design and analyze A/B experiments to evaluate shopping feature impact and trade‑offs. Develop and operationalize novel measurement methodologies to quantify user behavior, engagement, quality, long‑term user value for evolving shopping features. Conduct post‑launch and longitudinal analyses to understand the long‑term impact, identify growth opportunities, and inform future product development. Partner closely with Product, Engineering and User Experience (UX) to translate ambiguous product questions into clear frameworks and actionable insights. Equal Employment Opportunity 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

corporate_fare Google place Sunnyvale, CA, USA Apply Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience with design verification. Experience with SystemVerilog/Verilog. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. 6 years of experience with silicon design verification. Experience contributing across the entire design and verification life cycle. Experience optimizing tools, flows, and methodologies to improve efficiency. Experience with scripting languages (e.g., Python or Perl). Excellent problem solving and communication skills. 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 ASIC Design Verification Engineer, you will use design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform direct verification. Using SystemVerilog coding and problem solving skills, you will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will be responsible for the full lifecycle of verification, from verification planning to test execution, to collecting and closing coverage. 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 Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios. Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Close coverage measures to identify verification holes and to show progress towards tape-out. 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 collaboration platform in San Francisco is seeking a Corporate Strategy and Planning Lead to drive market analysis and long-term strategic initiatives. You will collaborate across teams to translate visions into actionable growth bets, focusing on SaaS business models. The ideal candidate has over 10 years of experience, exceptional leadership abilities, and deep knowledge of mergers and acquisitions. This role offers a competitive salary and a hybrid work model. #J-18808-Ljbffr

A leading cloud communications company is seeking a Senior Manager, Technical Revenue Accounting. This role will involve leading the evaluation and implementation of revenue recognition policies and managing a team responsible for complex customer contracts. The ideal candidate has over 8 years of technical accounting experience, strong leadership skills, and expertise in ASC 606. Join a remote-first team that values diverse experiences and promotes a culture of connection and inclusion. #J-18808-Ljbffr

A leading technology firm is seeking a Program Manager II for Software Engineering in Mountain View, CA. This role involves leading complex projects, managing stakeholder expectations, and delivering effective communication plans. The ideal candidate will have a Bachelor's degree and 2 years of relevant experience, particularly in program management and consumer-facing products, along with a strong understanding of the software development lifecycle. #J-18808-Ljbffr

A leading global technology company based in San Francisco is seeking a Software Engineer to develop next-generation technologies. The ideal candidate will have extensive experience in software development and testing, as well as skills in technical leadership. Responsibilities include designing scalable systems and mentoring other engineers. This full-time position offers a competitive salary ranging from $197,000 to $291,000, with bonus, equity, and benefits included. #J-18808-Ljbffr

Google San Francisco, CA, USA ; New York, NY, USA 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: San Francisco, CA, USA; New York, NY, USA. Bachelor's degree or equivalent practical experience. 4 years of experience in marketing working across one or more marketing fields (i.e., growth, product marketing, brand marketing, social). Experience managing cross‑functional or cross‑team projects. Experience in developing and launching marketing campaigns or resources focused on literacy, education, or technology adoption (e.g., AI Literacy resources, innovative learning tools). Experience in Brand Marketing, Product Marketing or a related field with a focus on K‑12 audiences (students, educators or educators leaders). Preferred qualifications Ability to work collaboratively across highly matrixed teams in a global organization and across Google. Ability to work in an ambiguous and fast‑changing environment with an entrepreneurial approach. Demonstrated passion for AI and its capabilities. Independent, comfortable with ambiguity, and can direct their projects in an unstructured environment. Creative problem solver who can seamlessly go from strategy, ideation, to execution. About the job As a Brand Marketing Manager on the Students and Learning Marketing team, you will help amplify the overall cross‑Google Learning narrative. In this role, you will collaborate with cross‑functional partners to drive a cross‑company strategy focused on empowering K‑12 learners and educators to benefit from AI. You'll drive engagement with students and teachers through bringing to market AI Literacy resources and innovative AI Learning tools. Through driving cohesive marketing plans centered on key education‑related cultural moments, you'll drive broad awareness and trust with these audiences. As a global lead, you'll build processes and assets that empower regional teams to scale programming and accompanying narratives in their local markets. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems- from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. The US base salary range for this full‑time position is $114,000-$163,000 + 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 Own the end‑to‑end student + teacher‑focused marketing strategy for Google's AI Literacy programs and experimental AI Learning tools, from foundational messaging to robust Go‑to‑Market (GTM) planning and execution for all program/product launches and key moments. Contribute to high‑impact thought leadership and amplification toolkits tailored for policymakers, educational leaders and industry influencers, including bespoke talking points, compelling demos, valuable assets, and strategic event engagements to maximize our influence and impact in AI Literacy and Learning. Lead market research and competitive analysis to deeply understand user needs, identify emerging trends, and position Google's AI Literacy and Learning approach as a clear differentiator and leader in the educational landscape. Define, track, and analyze Key Performance Indicators (KPIs) for programs and campaigns, leveraging data to inform ongoing strategy optimization. Demonstrate measurable impact on brand perception and user engagement. 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

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence-linking engagement patterns across AI agents, apps, websites, and streaming video to real results As a Senior Machine Learning Engineer, you will play a key role in advancing our AI initiatives and contributing to the development of our Real-Time Performance Analytics Platform. You will work across a broad range of ML technologies to create innovative, customer-focused solutions. In this role, you'll collaborate closely with vertical product teams to design and deploy ML models directly within product pipelines. You'll work with other team members to build scalable ML tooling and infrastructure, combining research, product integration, and data development. What Success Will Look Like: Design, develop, and deploy machine learning models that power AI-based features across a large-scale data analytics platform. Own ML systems end-to-end, from data ingestion and feature engineering to training, deployment, monitoring, and iteration in production environments. Build and maintain ML infrastructure and MLOps pipelines for scalable, repeatable model development and deployment. Collaborate with infrastructure and backend engineers and product teams to ensure ML solutions are aligned with platform performance and user needs. Continuously evaluate model performance using robust testing, monitoring, and alerting systems for data and model drift. Identify opportunities to improve system robustness and proactively detect data, device, or user level anomalies through intelligent alert mechanisms. Drive technical decisions, code quality, and best practices for ML engineering within a small, high-impact team. Who You Are and What You've Done: PhD in Computer Science, Machine Learning, or a related technical field; OR a Master's degree in Computer Science or Machine Learning with 2+ years of experience in machine learning engineering or a related field. Proven track record of owning the ML lifecycle: data pipelines, model training, validation, deployment, monitoring, and optimization. Strong software engineering background with 5+ years of experience and proficiency in modern languages like Python, Rust, Java, or Scala. Experience with big data frameworks (e.g., RAY, Spark, Flink) and ML infrastructure (e.g., MLflow, Kubeflow, or custom pipelines). Strong cross-functional collaboration skills and a bias toward proactive problem-solving, continuous improvement, and system-level thinking. What Would Make You Stand Out (Bonus Points): Experience with real-time data processing and analytics. Familiarity with time series analysis and forecasting techniques. Background in building AI-powered alerts, anomaly detection, or similar AI driven applications. Familiarity with cloud-based ML deployment and MLOps best practices. * This position will be based in our Foster City, CA office. The expected salary range for this full-time position is $180,000 - $220,000 + equity + benefits. The actual level and compensation are determined by several factors, such as your qualifications, professional background, and relevant experience. To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit ***************

A leading tech company in San Francisco is seeking a Vice President, Treasurer to lead its global treasury function. The successful candidate will drive growth, optimize liquidity, and manage enterprise-level risks while collaborating with executive stakeholders to enhance cash flow and investment strategies. Ideal candidates should possess a rich background in treasury operations, leadership experience, and a strategic mindset associated with a minimum of 15 years in the field. This role offers a hybrid work model. #J-18808-Ljbffr

At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote‑first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Software Engineer on our Data & Analytics Platform About the job We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data‑driven initiatives. You will work closely with cross‑functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies. Responsibilities Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis. Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions. Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lake Formation, Glue, and Athena. Design and implement frameworks and solutions for performance, reliability, and cost‑efficiency. Ensure data quality, integrity, and security throughout the data lifecycle. Stay current with emerging technologies and best practices in big data technologies. Mentor early‑career engineers and contribute to a culture of continuous learning and improvement. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development or a related field. Strong proficiency in programming languages such as Python, Java, or Scala. Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems. Experience with AWS technologies at scale. Solid understanding of software engineering principles, including object‑oriented and functional programming paradigms, design patterns, and code quality practices. Excellent problem‑solving and analytical skills. Strong verbal & written communication skills, with the ability to work effectively in a cross‑functional team environment. Bias to action, ability to iterate and ship rapidly. Passion to build data products, prior projects in this area. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in‑person meetings. What We Offer There are many benefits to working at Twilio, including competitive pay, generous time‑off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $138,700 - 173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - 183,600. Based in the San Francisco Bay area, California: $163,100 - 203,900. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non‑discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until February 20th, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isnt what you're looking for, please consider other open positions. Twilio is proud to be an Equal Employment Opportunity employer Twilio is proud to be an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local laws. Additionally, Twilio participates in the E‑Verify program in certain locations, as required by law. #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

A leading technology company based in San Francisco is seeking a Head of Product Legal. This role focuses on scaling the Product Legal team and advising on compliance issues related to AI product development. Candidates should have a JD and at least 8 years of experience in SaaS or IP counseling. The position supports collaboration across multiple teams and offers a competitive compensation package, including a salary range of $263,000 - $278,000. #J-18808-Ljbffr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands‑on mentorship, elevating the team's technical bar and influencing overall business strategy through best‑in‑class modeling and experimental design. This role is based in our San Francisco 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: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi‑touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands‑on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state‑of‑the‑art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large‑scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert‑level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 - $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long‑term savings or retirement plans In‑office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in‑person collaboration, incorporating flexibility that adds hybrid elements to our office‑centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #J-18808-Ljbffr

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence-linking engagement patterns across AI agents, apps, websites, and streaming video to real results As a Senior LLM & ML Engineer, you will play a pivotal role in transforming Conviva into an AI-native product company. You will design and implement production-ready AI systems that integrate Large Language Model capabilities across our platform, working across the full spectrum of ML and LLM technologies, from model deployment and optimization to advanced AI agent systems. Your work will enable intelligent features that enhance our analytics and customer experience solutions while contributing to the strategic direction of our AI initiatives and building cutting-edge solutions at scale. What Success Will Look Like: Design, build, and maintain LLM/ML systems that power AI-driven features across a large-scale data analytics platform. Develop and optimize LLM Agents for specific business use cases, focusing on performance, accuracy, and cost efficiency. Build scalable technical infrastructure for growing AI systems, including model training, deployment, and monitoring pipelines. Apply ML and AI techniques to big-data and observability problems unique to digital experience analytics. Collaborate with cross-functional teams to align LLM outputs and behaviors with product requirements. Contribute to and promote software engineering best practices across AI initiatives. Promote a positive culture within the team, encourage code quality, drive initiatives, and ensure flawless execution. Who You Are & What You've Done: Master's or PhD in Computer Science, Mathematics, or a related field with a strong foundation in CS and algorithms. Solid knowledge of Machine Learning fundamentals, probability and statistics, algorithm and data structure. Strong programming skills in Python, JavaScript/TypeScript, or similar languages. 3+ years of hands-on experience designing, building, and deploying machine learning models and pipelines with high scalability and performance. Experience with LLM agent techniques and AI system integration. Proven track record of delivering statistical models and ML algorithms with measurable business impact. Passion and enthusiasm for machine learning technologies and building cutting edge solutions. Strong cross-functional collaboration skills with a bias toward proactive problem-solving. Bonus Points: Experience with conversational AI and agent-based systems, MCP or A2A. Solid understanding of Natural Language Processing techniques and LLM/ML/Reinforcement Learning methodologies Proficiency with ML frameworks such as PyTorch, TensorFlow, and MLOps tools Background in model fine-tuning, alignment, and optimization techniques Open-source contributions to ML/AI projects Experience with big data frameworks (e.g., Spark, Flink, Ray) and distributed systems *This position will be based in our Foster City, CA office. The expected salary range for this full-time position is $190,000 - $220 ,000 + equity + benefits. The actual level and compensation are determined by several factors, such as your qualifications, professional background, and relevant experience. To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit ***************