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Growth Marketer - Demand Gen San Francisco, California, United States, San Francisco / New York About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . Summary We're hiring a Growth Marketer to own pipeline generation across our target markets. This is a high-output, high-autonomy role: design and run multi-channel campaigns, build the assets yourself, run experiments every week, and make sure your work moves the number. You won't be waiting on

Research Scientist 5/6 – AI for Member Systems USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. At Netflix, our mission is to entertain the world. That means connecting billions of people with movies, TV shows, and games they'll love. To do this, we invest in deeply understanding our members and building world-class discovery and personalization experiences. Every time a member turns to Netflix, they're relying on us to help them find their next favorite story-and delivering on that promise requires state-of-the-art machine learning and personalization models at a global scale. Applied Machine Learning Research at Netflix drives various aspects of our business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, evidence, etc. As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising. We are seeking exceptional individuals to join our team as full-time Research Scientists. In this role, you will drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions. Your work will involve exploring and applying state-of-the-art

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DNAFS_CITI - ETL Developer - CON Mexico ETL Developer - AB Initio specialist (Desarrollador ETL especialista en AB Initio) Location: Mexico (Mexico City, Guadalajara, Monterrey) - Hybrid as per Infosys Mexico policy (CDT/EDT time) Role Overview We are seeking an ETL Developer with strong experience in enterprise data integration and Big Data environments. The role focuses on building, optimizing, and supporting ETL pipelines and batch processes. Key Responsibilities - Design, develop, and maintain ETL workflows. - Optimize data processing and performance. - Support and monitor batch jobs and schedules. - Collaborate with cross ‑ functional, bilingual teams. Basic Qualifications - Bachelor's degree or foreign equivalent in Computer Science or related field. - 6+ years of IT experience , including data engineering and cloud solutions. - Bilingual (Spanish & English) - strong verbal and written communication. Mandatory Skills - Ab Initio ETL Development. - Hive, Big Data, PySpark. - SQL / Oracle. - Unix / Linux & Shell Scripting. - Job scheduling: Control ‑ M / Control Centre / Autosys. Preferred Skills - Experience working in large ‑ scale enterprise or regulated environments. - Exposure to data warehousing and reporting solutions. - Performance tuning and troubleshooting of ETL jobs. - Familiarity with Agile/Scrum delivery models. - Strong communication and stakeholder coordination skills. Other Requirements - Ability to work under tight timelines and manage complex requirements. - Flexible to work during CDT/EDT time zones and meet for hand-over activities to India team if needed. - Self-motivated, proactive, and a strong team player.

System Administrator (Openshift - Linux - AIX) Rome (KIT51637) Spaces Eur Laurentina posted: Posted 15 Days Ago

Sr. Manager of Applied Science - Catalog Services, Product Knowledge GenAI Seattle, Washington, USA The Catalog Services Product Knowledge team is seeking a Sr. Applied Science Manager for leading initiatives for understanding, and scaling organization of product schema information. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and scale the catalog metadata (schema) for Amazon e-commerce catalog worldwide. This is a complex problem because the magnitude of products entities (attributes, values, constraints) to be modeled to cover all the Amazon products worldwide. You will lead a team of experienced Applied Scientists (direct reports) to create models and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML and GenAI techniques that will scale our catalog artifacts with a high precision across countries and languages. The leader will drive investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product schema and support the largest e-commerce catalog and impact million of customers. The team builds solutions ranging from automatic generation of product metadata, classification of entities, validation of concepts against customer traffic, creation of agents solving complex tasks mimicking human decisions at high precision, etc; all these developments drive true understanding of products at scale. We are looking for an entrepreneurial, experienced Sr. Applied Science Manager who can turn a group of Machine Learning Scientists (PhD's in NLP, ML,

Elektromobilių priežiūros vadybininkas (-ė) Vilniuje (0,5 etato) Vilnius Elektromobilių priežiūros vadybininkas (-ė) Vilniuje (0,5 etato)

Senior Staff Software Engineer - Apache Spark (Java or Scala) Hungary > Budapest posted: Posted 30+ Days Ago

Site Reliability Engineer, Apple Data Platform Infra SRE Austin, United States of America People at Apple don't just build products - they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. Apple Services Engineering (ASE) is responsible for designing and maintaining the systems, platforms, and infrastructure that support Apple's global services, such as Apple Music, iCloud, Siri, Maps, and many more. Our work forms the foundation upon which our world-class software developers build the products our customers love. We are seeking innovative and dedicated Site Reliability Engineers to help us sustain our mission of providing the highest quality experience for our customers. ASE services must scale globally, remain highly available and consistently performant. If you are passionate about designing, engineering, and running systems and infrastructure that will help millions of customers, then this is the place for you! Apple Services infrastructure is planetary scale. Our Data Platform Site Reliability Engineering team manages the infrastructure and applications on bare-metal and cloud computing platforms to deliver data processing, governance, and storage for many of Apple's global products and organizations. Our platform teams work with exabytes of data, terabytes of memory, and hundreds of thousands of jobs running millions of executors to support predicable and performant data analytics. Our platform enables key features in Apple Music, TV, Maps,

Principal Sales Specialist, Analytics, FSI New York, New York, USA As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes. You will educate customers on "art of the possible" success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and analytics engine. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case. The ideal candidate combines strategic sales leadership with deep technical and business acumen. You

Lakebase Sales Specialist (Central) Baden-Württemberg, Germany; Bavaria, Germany; Berlin, Germany; Düsseldorf, Germany; Germany; Hamburg, Germany; Munich, Germany; Remote - Germany SLSQ327R341 Databricks is seeking multiple Lakebase Sales Specialists (Central) to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. This role is based in Munich, Germany (flexible within Germany for the right candidate), and will cover customers in the Central region (Germany, Switzerland, Austria, Eastern Europe). The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas - including platform teams and developers , data teams , and central IT - articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent

Principal Software Engineer - AI Application China - Beijing Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva is seeking a Principal Backend Engineer to join our dynamic team in Beijing. In this role, you will lead the development of China CRM applications on our industry SaaS cloud platform, shaping the future of enterprise solutions for the Life Sciences industry. You'll work alongside top engineers, solving complex challenges, optimizing performance, and ensuring reliability at scale. The Role Veeva is seeking a Principal Backend Engineer to join our dynamic team in Beijing. In this role, you will lead the development of China CRM applications on our industry SaaS cloud platform, shaping the future of enterprise solutions for the Life Sciences industry. You'll work alongside top engineers, solving complex challenges, optimizing performance, and ensuring reliability at scale. Veeva Systems is a mission-driven organization and pioneer

Senior Data Scientist Remote, Contiguous US Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023. Website Job Board Values Candidate Interview Guide --- Senior Data Scientist I, Analytics The Data Science team helps Alma achieve its mission by leveraging data to inform business strategy and drive product innovations. We are looking for a Senior Data Scientist to join the Client Experience team to make searching for the right therapist a seamless experience. In this role, you will apply your expertise in analytics and experimentation to solve challenging problems including conversion funnel optimization, search ranking, and client-provider matching. You will collaborate with a diverse cross-functional team of product managers, software engineers, and designers to define and execute on the Client Experience product roadmap. What you'll do: - Generate insights

Decision Scientist Hybrid - Denver, Denver, Colorado, United States Ibotta is seeking a Decision Scientist, Client Analytics to join our high-performing team and contribute to our mission to Make Every Purchase Rewarding. Our relatively new and fast-growing Client Analytics team provides high-quality, on-time data products and services across all business areas within Ibotta. We do this through our thought leadership, subject matter expertise, evangelism, and governance of business-critical data initiatives. As a Decision Scientist, you'll have the challenging and rewarding opportunity to build on the foundation of already established data and analytics products. You'll be able to drive initiatives forward, being responsible for project completion. In addition, you'll also be able to grow organizational and leadership skills by contributing to team and company best practices while learning from technology leaders who want you to be successful. Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Support projects to derive inference and insights from our measurement models, provide ad hoc analysis to internal and external stakeholder using ibotta's data that tie back to clients goals and objectives for their business, automation of existing reports and deliverables,and market analysis case studies - Work cross-functionally to analyze large amounts of behavioral and transaction data

Solutions Engineer San Francisco, California, United States About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . This Role As a Solutions Engineer at Dust, you'll serve as the technical bridge between Sales and prospective customers, demonstrating how our AI platform transforms the way teams work. You'll partner closely with prospects to identify high-impact use cases, deliver tailored demonstrations, and guide technical evaluations from initial discovery through successful pilot deployments. This

Senior Data Platform Architect DE-Germany-Remote, Remote, Germany, DE-Munich-MSO, DE-Berlin-Das Center At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. Our Solution Engineering organization is seeking a Senior Data Platform Architect (Specialist) to join our Applied Field Engineering team who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to

Product Data Analyst Paris, Île de France, France About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . Summary We're looking for a product-focused Data Analyst to embed with our product teams and define what success looks like. As our first product data analyst, you'll build the systems, metrics, and insights that help us make better decisions about what to build. What you'll do You'll be hands-on with SQL and dashboards,

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Site Reliability Engineer, Apple Data Platform Austin, United States of America People at Apple don't just build products - they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. Apple Services Engineering (ASE) is responsible for designing and maintaining the systems, platforms, and infrastructure that support Apple's global services, such as Apple Music, iCloud, Siri, Maps, and many more. Our work forms the foundation upon which our world-class software developers build the products our customers love. We are seeking innovative and dedicated Site Reliability Engineers to help us sustain our mission of providing the highest quality experience for our customers. ASE services must scale globally, remain highly available and consistently performant. If you are passionate about designing, engineering, and running systems and infrastructure that will help millions of customers, then this is the place for you! Apple Services infrastructure is planetary scale. Our Data Platform Site Reliability Engineering team manages the infrastructure and applications on bare-metal and cloud computing platforms to deliver data processing, governance, and storage for many of Apple's global products and organizations. Our platform teams work with exabytes of data, terabytes of memory, and hundreds of thousands of jobs running millions of executors to support predicable and performant data analytics. Our platform enables key features in Apple Music, TV, Maps, News, and

Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS) Seattle, Washington, USA Amazon's Customer Behavior Analytics org is looking for an Senior Manager, Applied Science, to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a high-impact role with opportunities to develop systems that affect investments to the size of billions of dollars. We work closely with business stakeholders and strive to continuously produce tangible impact on the company's strategic, tactical planning and operations. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate complex business problems into scientific challenge, and deliver data driven solutions - which will allow Amazon to make key investment decisions.You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale. You should have strong analytical and communication skills, be able to work with stakeholders and partners which include world-wide business leaders, distinguished scientist, economist, product managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and data-wrangling to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment

Thermal Architect (Server/Networking) Sanchong posted: Posted 30+ Days Ago

Staff Mechanical Engineer, Consumables Pleasanton, California, USA HQ

Security Engineer (Data & Endpoint Security) Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Job Responsibilities Data Security (Optional Focus Area) - Develop and enhance enterprise data security detection capabilities, including but not limited to DLP, sensitive data identification, data encryption/decryption, and data masking. - Continuously validate and optimize existing data security rules, models, and detection strategies to improve coverage and accuracy. - Participate in data security incident identification, response, investigation, and forensics. - Build and maintain data asset maps; use graph-based techniques to trace data flows and identify risks of sensitive data exfiltration. - Use enterprise data platforms to perform risk analytics, anomaly detection, and data-focused

Sr SDE, Amazon India Advertising Bengaluru, Karnataka, IND If you are excited by the opportunity to build highly innovative, scalable, high-performance and low latency solutions for digital advertisement - leveraging AI and machine learning across the full development lifecycle - this may be the right career move for you. Be part of an innovative and passionate team, responsible for building a successful, sustainable and strategic international business for Amazon, from the ground up. Key job responsibilities As a Sr Software Engineer on the team: You will get an opportunity to work on building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, and search - including designing, training, evaluating, and deploying ML/AI models end-to-end. You will leverage AI-assisted development tools and practices (e.g., code generation, automated testing, AI-powered code review) to accelerate engineering velocity and code quality. You will work on Big Data technologies such as AWS, Spark, Hive, Lucene/SOLR, Elasticsearch, and modern AI/ML frameworks and pipelines. You will drive appropriate technology choices for the business - including evaluating and integrating generative AI, LLMs, and foundation models - leading the way for continuous innovation and shaping the future of India Advertising. You will be fluent in the AI coding lifecycle: from data preparation, prompt engineering, and model fine-tuning through to responsible AI practices, model monitoring, and iterative improvement in production. You will follow the technical direction of our offerings and solutions, working with many different technologies across the India Advertising organization. You will code, troubleshoot, and support high volume and