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S
Snowflake
📍 Menlo Park• Full-time
1mo ago

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 building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

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S
Snowflake
📍 Menlo Park• Full-time
1mo ago

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 building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

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S
1mo ago

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. We're looking for a Director of Engineering to join our leadership team in the AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows. The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company's core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workflows, unlocking faster insights, more powerful applicatio

PE
Private Employer
📍 Hyderabad• Full-time• Hybrid
1mo ago

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Full Stack Data Engineer is responsible for designing, developing, supporting, and enhancing Trade Operations applications, data pipelines, and cloud-based services that power the end-to-end Trade data lifecycle. This role combines software engineering, data engineering, cloud technologies, and operational support to ensure Trade data is processed accurately, securely, and efficiently from ingestion through product delivery. The engineer will partner closely with Trade Operations Analysts and Technology teams to build scalable solutions, automate manual processes, improve data quality, modernize legacy platforms, and support strategic initiatives such as market onboarding, cloud migration, and AI-driven process improvements.

PE
Private Employer
📍 India (Hybrid)• Full-time
1mo ago

Location - Bangalore About the Team : The Platform Product team at Meesho is the backbone of our product ecosystem, empowering functions across product, business, analytics, tech, and data science. By building scalable platforms and tools, we enable teams to make data-driven decisions, accelerate development cycles, and enhance productivity. Our key focus areas include Data Acquisition, Analytics Tools, Experimentation, Segmentation, Payouts, Security, Reporting and so on, which support critical functions of Meesho About the Role : As a Platform Product Manager, you will own and drive one or more product charters within the Platform Product charter. Your role will be pivotal in enabling Meesho’s growth by ensuring seamless cross-functional collaboration and delivering impactful technical solutions. You will work closely with product managers, engineers, analysts, and data scientists across the organisation to turn complex ideas into actionable products.We’re looking for strategic thinkers passionate about building platforms that solve large-scale challenges. We want to hear from you if you are a self-starter, excel in driving initiatives independently, and thrive in dynamic environments.

DU
DoorDash USA
📍 San Francisco• Full-time• $124.1K – $182.5K/yr
Just now

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth Business Operations Dasher & Logistics Customer Experience & Integrity Merchant, Ads & Sales New Verticals International Data Science About the Role As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts on how to use more advanced methods and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Report aga

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About the Team: The Workforce Demand Forecasting team is part of Global Support and Integrity Operations. We help DoorDash deliver reliable, efficient, and high quality support by translating business activity into demand forecasts and actionable planning insights. Our work informs customer experience, workforce investment, operational readiness, and cost. We partner with Workforce Management, Operations, Finance, Business Intelligence, Data Science, Product, and Engineering to improve forecast accuracy, strengthen planning decisions, and build scalable operating mechanisms. The team supports a broad set of global support workstreams. Our goal is to provide leaders with the forecasts, insights, and decision frameworks needed to balance service, customer experience, and cost. About the Role: We are seeking an Associate Manager to lead a defined set of Forecasting workstreams and strengthen the team’s operating model. This role goes beyond forecast production. You will own workstream performance from end to end, including forecast quality, prioritization, business readiness, stakeholder alignment, and continuous improvement. You will translate complex data into clear recommendations, make informed tradeoffs, and help leaders understand key risks, opportunities, and decisions. You will also guide and develop analysts through coaching, technical support, and clear performance expectations. The ideal candidate combines analytical depth, strategic judgment, operational discipline, and strong cross functional influence. Success in this role requires advanced SQL skills, strong business acumen, and demonstrated experience improving forecasting, planning, or operational processes at scale. You’re excited about this opportunity because you will own: Forecasting Performance and Business Readiness Lead demand forecasting across designated business lines and workstreams, with accountability for forecast accuracy, assumptions, risks, and recommended actions across planning horizo

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P
Pendo
📍 Raleigh• Full-time• From $133K/yr
Just now

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering. We combine analysis, ML models, and internal tooling to answer high-value business questions and help GTM teams work faster and more effectively. We measure success by the real business value our work creates. As a Senior Data Scientist, you'll own the full lifecycle of intelligence solutions, from problem definition and analysis through model development, stakeholder enablement, and ongoing iteration. You'll work directly with GTM teams to surface high-value business problems and answer them with the right mix of analytics and modeling, translating what you find into decisions that stick. The best person for this role has strong modeling instincts, genuine curiosity about how GTM businesses operate, and the judgment to know when a complex model is the right tool — and when a well-framed SQL query gets you there faster. This role is based in Raleigh, NC and follows Pendo's hybrid model: in-office 3 days per week. What this looks like day-to-day Leverage data analysis, machine learning, and predictive modeling to identify opportunities and mitigate risks for our GTM teams, from problem framing through delivery and ongoing iteration Work collaboratively with data & AI engineers, analysts, revenue operations, and GTM stakeholders to ensure your work is actionable, interpretable, and clearly connected to business decisions Translate model outputs and analytical findings into clear business narratives through slides, write-ups, presentations, and async video Leverage AI-assisted development tools (Cursor, Claude Code) to accelerate delivery and prototype faster, while applying the critical thinking to validate, refine, and own the output Share and build reusable patterns, model documentation, and technical findings with the broader team Answer high-value business questions through analysis and experimentation: dev

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PE
Just now

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Our Product Development organization is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product. Our infrastructure teams are responsible for the lowest layers of our software stack, often focused on database technologies, distributed systems, large scale data systems, security, and application infrastructure. As a Software Engineer on infrastructure working on our Foundry platform, you'll contribute high-quality code to underpin Palantir Foundry and Gotham with performant, secure, and scalable building blocks, enabling products deployed to the most important institutions in the public and private sector. You'll build the foundational capabilities that power our products used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. We’re hiring engineers who are passionate about solving real-world problems and empowerin

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

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R
Robinhood
📍 Menlo Park• Full-time
Just now

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As a Lifecycle Marketing Manager you’ll drive the way we connect with customers to drive engagement across our products, connecting the right user to the right action. You will be focused on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey across onboarding, product adoption, engagement and retention. You’ll work closely with teams across product, marketing,, creative and data science to build campaigns, experiments and messaging that increase engagement with our products and services. You have a passion for applying a quantitative approach to prioritization and creative problem solving. You look to marketing technology and data as your competitive advantage. At your core, you are results oriented and thrive in a fast-paced environment. You’ll be supported by an incredible group of engineers, analysts, content strategists, brand marketers, and product innovators to reach our common goal - to help democratize our financial system. This role is based in our Menlo Park, CA and New York City, NY office(s), with in-person attendance expected at least 3 days per week. At Rob

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B
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Senior Finance Manager - Space Launch Systems Company: The Boeing Company The Boeing Defense and Space (BDS) Space Launch System (SLS) Financial Operations team is seeking a Senior Finance Manager - Space Launch Systems. This opportunity is located in Kennedy Space Center, Florida to join our team working on the largest and most powerful rocket ever produced. If you are a proactive and driven finance professional with a demonstrated history of initiative, dedication, and a strong commitment to excellence, we encourage you to apply. At Boeing, we're not just building rockets; we're shaping the future of human exploration. This critical leadership role will partner closely with The National Aeronautics and Space Administration (NASA), Program Managers, Integrated Product Team (IPT) leaders, and Executive leadership to ensure strict compliance with Earned Value Management (EVM) principles, align strategic financial plans with business execution, and maximize program financial performance. The position requires exceptional skills in financial oversight, risk management, stakeholder collaboration, and driving successful delivery from cost, schedule, and technical perspectives. Position Responsibilities: Lead, motivate, and develop a high-performing team of financial analysts dedicated to supporting program and contract activities with a focus on EVM compliance and business execution excellence Coordinate and integrate the overall program financial activity, ensuring alignment with strategic objectives and full Earned Value Management (EVM) reporting requirements Partner with program managers and IPT leadership to drive financial strategy that maximizes program execution, op

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A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. In this role, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to: • Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors • Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defense agencies worldwide to power their infrastructure in highly sensitive environments • Building the core capabilities used by advanced civil and defense agencies worldwide to power their infrastructure • Providing the substrate on which Palantir deploys its other platforms, Foundry and Gotham, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters You’ll join our Production Infrastructure organization, made up of small teams of engineers working on: • Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters • Apollo: secure, fleet-wide deployment and change-management for complex microservice suites • Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer at Palantir, you’ll own every phase of the product lifecycle—from generating ideas and designing prototypes to executing features and shipping releases—while being paired with a dedicated mentor who champions your growth. You’ll work hand-in-hand with both technical and non-technical colleagues to uncover real customer problems and deliver solutions that ad

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A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to: • Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors. • Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defense agencies worldwide to power their infrastructure in highly sensitive environments • Building the core capabilities used by advanced civil and defense agencies worldwide to power their infrastructure • Providing the substrate on which Palantir deploys its other platforms, Foundry and Gotham, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters. You’ll join our Production Infrastructure organization, made up of small teams of engineers working on: • Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters • Apollo: secure, fleet-wide deployment and change-management for complex microservice suites • Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer Intern at Palantir, you’ll own every phase of the product lifecycle—from generating ideas and designing prototypes to executing features and shipping releases—while being paired with a dedicated mentor who champions your growth. You’ll work hand-in-hand with both technical and non-technical colleagues to uncover real customer problems and

typescriptjavareact
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A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. In this role, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to: • Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors • Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defense agencies worldwide to power their infrastructure in highly sensitive environments • Building the core capabilities used by advanced civil and defense agencies worldwide to power their infrastructure • Providing the substrate on which Palantir deploys its other platforms, Foundry and Gotham, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters You’ll join our Production Infrastructure organization, made up of small teams of engineers working on: • Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters • Apollo: secure, fleet-wide deployment and change-management for complex microservice suites • Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer at Palantir, you’ll own every phase of the product lifecycle—from generating ideas and designing prototypes to executing features and shipping releases—while being paired with a dedicated mentor who champions your growth. You’ll work hand-in-hand with both technical and non-technical colleagues to uncover real customer problems and deliver solutions that ad

typescriptjavareact
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