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 donโt 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 โ 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. About the Team The Finance Data Science team owns the forecasting systems that power Snowflakeโs financial planning, operating cadence, and long-term strategy. Our work informs executive decision-making, corporate planning, investor reporting, and cross-functional decisions across Finance, Sales, and Product. We build and operate production forecasting systems for Snowflakeโs core money-in metrics, with a particular focus on revenue and bookings in a consumption-based business. Our forecasts are highly visible, widely used, and foundational to how the company plans and operates. This is a high-trust team operating at the intersection of statistical modeling, production systems, and financial decision-making. The Role We are hiring a Senior Applied Scientist to own and advance mission-critical forecasting systems used across the company. This role is not just about building models. It is about developing reliable, explainable, production-grade forecasting systems that leaders can trust to make decisions. You will work on high-impact, open-ended problems involving revenue forecasting, customer consumption behavior, workload ramps, renewals, and other leading indicators that feed Snowflakeโs broader financial planning processes. You will partner closely with Finance, Sales, Pr
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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 donโt 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 โ 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. The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflakeโs most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services. PLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance. AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness. Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry. Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhanc
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 donโt 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 โ 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. About the Team The Finance Data Science team owns the forecasting systems that power Snowflakeโs revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What Youโll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat
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 donโt 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 โ 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. Weโre at the forefront of the data revolution, committed to building the worldโs greatest data and applications platform. Snowflake is striving to become the cloud data platform of choice for everyone who needs affordable, reliable, scalable and elastic data management. Armed with great technical talent, our expanding product offering is designed for the cloud and automatically handles infrastructure, optimization, availability, data protection, and more so our users can focus on using their data, not managing it. And weโre doing this across all the major cloud providers, breaking new ground in what it means to be multi-cloud and cloud agnostic. We are looking to hire an experienced Senior Technical Program Manager who can be part of a world-class team that builds Snowflakeโs product and cloud platform. This role is a unique opportunity to make a significant impact by building a flexible, large scale, high-performance, and resilient platform for Snowlake features and services. Be part of the vision to create the best data cloud platform. Our โget it doneโ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. AS A SENIOR TECHNICAL PROGRAM MANAGER, YOU WILL: Be re
Title: Senior SDET About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytmโs mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: A technology platform that provides all participants with benefits of scale in collections. The product has a single minded focus, non-biased/ underwriting influenced optimization which produces better results than individual lenders can. The product uses innovative AI engines and ML models to provide insights. About the role: Experience in testing of Web/mWeb, mobile app and API. Help in automation as per project needs (UI/API). Expectations/ Requirements ยท Educational qualification: BE/ B.tech/ MCA/ M.tech ยท Require 2 - 6 years of experience in manual (functional, regression, sanity, integration) and automation (Selenium/Appium/API) testing ยท 2+ years of relevant experience in Automation and Manual Testing. ยท 2+ years of experience in Automation, Selenium and Java. ยท Should have experience using any framework like - Cucumber / BDD / Any other. ยท Should have experience using any framework like Rest Assured. ยท Analyzing requirements/PRD and creating test cases. ยท Should be well versed in sanity, functional, re-testing, integration and regression testing. ยท Experience in Web, mWeb, mobile application testing. ยท Experience in API (Web Services) testing. ยท Experience in writing SQL queries and exposure to MySQL DB. ยท Should be well versed in defect life cycle and have hands-on experience in Jira. ยท Working experience in Linux. ยท Understands aspects of Agile methodology. ยท Experience in Selenium Web Driver/Appium. ยท Experience in API automation. ยท Experience in Programming lan
Experience: 7-12 Years Location: Noida / Bangalore Joining: Immediate / Short Notice Preferred About the Role We are looking for a Senior Business Intelligence Analyst who can independently drive insights that influence business performance and product decisions. This role requires strong analytical depth, a clear business mindset, and the ability to understand customer behavior across the product lifecycle. You will work closely with Product, Business, Growth, and Leadership teams to convert data into actionable intelligence, going beyond dashboards to answer why things are happening and what should be done next. Key Responsibilities Own and drive business and product insights across acquisition, engagement, retention, and monetization. Partner with Product and Business teams to define, track, and evolve key metrics and north-star KPIs. Perform deep-dive analyses on customer behavior, funnels, cohorts, and feature usage to identify growth and efficiency levers. Build and maintain dashboards, MIS, and self-serve reports that serve as a reliable source of truth. Support experimentation and A/B testing by defining success metrics and analyzing outcomes. Proactively surface risks, anomalies, and opportunities using data-backed narratives. Collaborate with Data Engineering and Product teams to improve data quality, tracking, and analytical readiness. Translate complex analysis into clear, actionable insights for non-technical stakeholders. Required Skills & Experience 712 years of experience in Business Intelligence / Analytics, preferably in product-led or consumer internet / fintech organizations. Strong hands-on experience with SQL (mandatory); ability to work with large and complex datasets. Experience with BI tools such as Tableau, Power BI, Looker, or similar. Solid understanding of product metrics, funnels, cohorts, and lifecycle analytics. Proven ability to independently structure ambiguous problems and deliver end-to-end insights. Strong communication skills
ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubistโs Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua
Graphcore Senior Principal AI SoC Validation (Bring-up lead) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the worldโs most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with
About the role ์ฐ๋ฆฌ์ ํ๋ซํผ์ ๋ํ ๊ฐ๋ ฅํ ๊ธฐ์ ์ ์ง์ง์ ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ์ ๊ธฐ๋ฐ์ผ๋ก MongoDB๊ฐ ์ฑ์ฅํ ์ ์๋๋ก ๋๋ ๊ธฐ์ ์ ์ด์ ์ ๊ฐ์ง ์ธ์ฌ๋ค์ ์ ํฌ์ ํ๋ฆฌ์ธ์ผ์ฆ ์กฐ์ง์ ๋ชจ์ญ๋๋ค. MongoDB ํ๋ฆฌ์ธ์ผ์ฆ ์๋ฃจ์ ์ํคํ ํธ๋ ๊ณ ๊ฐ ๋ฐ ์ฌ์ฉ์๋ค์ด MongoDB ๋ฐ์ดํฐ ํ๋ซํผ์ ํ์ฉํด ์ ๋ขฐํ ์ ์๊ณ ํ์ฅ ๊ฐ๋ฅํ ์์คํ ์ ์ค๊ณํ๊ณ ๊ตฌ์ถํ ์ ์๋๋ก ์๋ดํฉ๋๋ค. ์ด ํ์ ์๋ จ๋ ๊ธฐ์ ์์ ์ ๋ฌธ๊ฐ, ์ํํธ์จ์ด ์ํคํ ํธ, ๊ธฐ์ ๊ฐ, ๊ทธ๋ฆฌ๊ณ ๊ฐ๋ฐ์๋ก ๊ตฌ์ฑ๋์ด ์์ผ๋ฉฐ, ๊ณ ๊ฐ์ ์ฑ๊ณต์ ์ง์ ์ ์ผ๋ก ์ฑ ์์ง๊ณ ์์ต๋๋ค. ์ฌ๊ธฐ์๋ ์ํํธ์จ์ด ์ค๊ณ, ๋ฐฐํฌ, ์ด์ ๋ฑ์ด ํฌํจ๋ฉ๋๋ค. ์ด ์ง๋ฌด๋ ์์ ์ ๋ฌธ๊ฐ๋ค๊ณผ ๊ธด๋ฐํ ํ๋ ฅํ๋ฉฐ, MongoDB ์๋ฃจ์ ์ ํ์ฉํด ๊ณ ๊ฐ์ ๋น์ฆ๋์ค ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ณ , ๊ณ์ฝ ์ฑ์ฌ ๋ฐ ๋น์ฆ๋์ค ๊ฐ๋ฐ์ ์ค์ํ ์ญํ ์ ํฉ๋๋ค. ์คํํธ์ ๋ถํฐ ์ธ๊ณ ์ต๋ ๊ท๋ชจ์ ์ํฐํ๋ผ์ด์ฆ IT ์กฐ์ง์ ์ด๋ฅด๊ธฐ๊น์ง ๋ค์ํ ์ฌ์ฉ์๋ค์๊ฒ ์ ๋ขฐ๋ฐ๋ ์กฐ์ธ์๊ฐ ๋์ด์ฃผ์ค ๋ถ์ ์ฐพ๊ณ ์์ต๋๋ค. ์ฐ๋ฆฌ์ ํ์ด๋ธ๋ฆฌ๋ ์ ๋ฌด ๋ฐฉ์นจ์ ๋ฐ๋ผ ๋ํ๋ฏผ๊ตญ ์์ธ ์คํผ์ค๋ก ์ถํด๊ทผ์ด ๊ฐ๋ฅํ์ ๋ถ์ ๋ชจ์๊ณ ์ ํฉ๋๋ค. As an ideal candidate, you will have 12๋ ์ด์์ ๊ณ ๊ฐ ๋๋ฉด ์ญํ ๊ด๋ จ ๊ฒฝํ (3๋ ์ด์์ ์ํฐํ๋ผ์ด์ฆ ์ํํธ์จ์ด ํ๋ฆฌ์ธ์ผ์ฆ ๊ฒฝํ ์ฐ๋) 3๋ ์ด์์ Python, Node.js, SQL๊ณผ ๊ฐ์ ํ๋์ ์ธ ์คํฌ๋ฆฝํ ์ธ์ด ๋๋ C/C++, Java, C# ๋ฑ ์ธ๊ธฐ ์๋ ํ๋ก๊ทธ๋๋ฐ ์ธ์ด๋ฅผ ์ ๋ฌธ์ ์ผ๋ก ๋ค๋ฃฌ ๊ฒฝํ ํด๋ผ์ฐ๋ ๋ฐ ์จํ๋ ๋ฏธ์ค์์ ํ์ฅ ๊ฐ๋ฅํ ๊ณ ๊ฐ์ฉ์ฑ ๋ถ์ฐ ์์คํ ์ค๊ณ ๊ฒฝํ ๊ธฐ์กด ์ ํ๋ฆฌ์ผ์ด์ ์ ๋ณต์กํ ์ํคํ ์ฒ๋ฅผ ๊ฒํ ํ๊ณ ๊ธฐ์ ํ์ฉ์ ํตํด ๊ฐ์ ๋ฐฉ์์ ์ ์ํ ๊ฒฝํ ๋ฐ์ด๋ ๋ฐํ ๋ฐ ์ปค๋ฎค๋์ผ์ด์ ๋ฅ๋ ฅ, ๊ทธ๋ฆฌ๊ณ ๊ธฐ์ ๋ฐ ๋น์ฆ๋์ค ๋ฆฌ๋์ญ๊ณผ ๋ช ํํ๊ณ ์ค๋๋ ฅ ์๊ฒ ์ํตํ ์ ์๋ ๋ฅ๋ ฅ ์์ ํ๊ณผ์ ์ ๋ต์ ํ์ ๋ฐ ๋ค๋ฐฉ๋ฉด์ ๊ณ ๊ฐ ์ ๋ต ์๋ฆฝ ๋ฅ๋ ฅ ์ต๋ 25%์ ์ถ์ฅ์ด ๊ฐ๋ฅํ์ ๋ถ ํ์ฌ ํ์ ๋๋ ์ด์ ์์ํ๋ ๊ฒฝ๋ ฅ You may also have ๋ฐ์ดํฐ๋ฒ ์ด์ค ํ๋งค ๋ฐ ์ฃผ์ ํด๋ผ์ฐ๋ ๊ณต๊ธ์์์ ์ ํ๋ฆฌ์ผ์ด์ ๋ฐฐํฌ ๊ฒฝํ ๋ฐ์ดํฐ๋ฒ ์ด์ค ํ๋ก๊ทธ๋๋ฐ ๋ฐ ๋ฐ์ดํฐ ๋ชจ๋ธ ๊ฒฝํ ๋ฐ์ดํฐ ์์ง๋์ด๋ง ๋๋ AI/ML ํ๋ก์ ํธ ์ฐธ์ฌ ๊ฒฝํ ๊ธฐ์กด ์์คํ ์ ํ๋์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ๋ฉฐ ํจ์จ์ ์ธ ๊ธฐ์ ์คํ์ผ๋ก ์ ํํ ๊ฒฝํ MEDDPICC/Command of the Message์ ๊ฐ์ ์ธ๊ธฐ ์๋ ์ธ์ผ์ฆ ๋ฐฉ๋ฒ๋ก /ํ๋ ์์ํฌ ์ดํด MongoDB ๋ฐ ํด๋ผ์ฐ๋ ๊ณต๊ธ์ ์๊ฒฉ์ฆ ๋ณด์ What you do at MongoDB ์ด ์ง๋ฌด๋ ์ํฉ์ด๋ ๋ฐ์ดํฐ๋ฅผ ์ฌ๋ ์๊ฒ ๋ถ์ํด์ผ ํ๋ ๋ณต์กํ ๊ธฐํ๋ฅผ ๋ค๋ฃน๋๋ค. ์ค๊ณ ๋ฐ ์ํคํ ์ฒ: ๋๊ท๋ชจ ์ํํธ์จ์ด ํ๋ก์ ํธ๋ฅผ ์ํด ํ์ฅ ๊ฐ๋ฅํ๊ณ ์ฑ๋ฅ์ด ๋ฐ์ด๋ ์ ํ๋ฆฌ์ผ์ด์ , ์์คํ , ์ธํ๋ผ ์ค๊ณ ๊ณ ๊ฐ ์กฐ์ธ ๋ฐ ๊ฐ์น ์ ๋ฌ: MongoDB์ ์ํคํ ์ฒ ํจํด๊ณผ ์ต์ ํ ์ ๋ต์ ๊ณ ๊ฐ์๊ฒ ์๋ดํ๊ณ , ๊ด๋ จ ์ดํด๊ด๊ณ์์๊ฒ ๋น์ฆ๋์ค ๊ฐ์น๋ฅผ ๋ช ํํ ์ ๋ฌ ์์ ํ์ : ๊ธฐ์ ์ ๋ฐ๊ฒฌ, ๋ฐ๋ชจ, ๊ฐ์น ๊ฒ์ฆ, ํ๋ ์ ํ ์ด์ ๋ฑ ์์ ๊ณผ์ ์์์ ๊ธฐ์ ์ ๋ถ๋ถ ๋ด๋น ์์ ์ฐฝ์ถ: ์ฐ์ ํ์ฌ ๋ฐ ๊ณ ๊ฐ ๊ธฐ๋ฐ ๋ง์ผํ ์ด๋ฒคํธ์ ์ฐธ์ฌํ์ฌ ๊ธฐ์ ์ ์ด๋์ ํฐ๋ธ๋ฅผ ํตํ ์์ ์ฐฝ์ถ ๊ณ ๊ฐ ์ฑ๊ณต: ๊ฐ๋ ฅํ ๊ณ ๊ฐ ๊ด๊ณ ๊ตฌ์ถ, ๊ณ ๊ฐ ์ฑํผ์ธ ์ก์ฑ, ์ฑ๊ณต ๋ฐ ๋ง์กฑ ๋ณด์ฅ ํ์ ๋ฐ ๊ฐ์ : ํ๋ ํผ๋๋ฐฑ์ ์ ํ ํ์ ์ ๋ฌํ๋ ๋ฑ MongoDB ์๋ฃจ์ ๋ฐ ํ๋ก์ธ์ค ํ์ ๋ฐ ๊ฐ์ ๊ต์ก ๋ฐ ๊ฐ๋ฐ: MongoDB ์ ํ๊ตฐ ๋ฐ ์ฐ์ ๋ํฅ์ ๋ํ ์ง์์ ์ธ ํ์ต๊ณผ ์๊ธฐ ๊ฐ๋ฐ What you will learn MongoDB ์ ํ๊ตฐ ํต์ฌ ๋ฐ์ดํฐ๋ฒ ์ด์ค ์๋ฒ: MongoDB ํต์ฌ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ๊ธฐ๋ณธ ๋ฐ ๊ณ ๊ธ ๊ธฐ๋ฅ ์๋ฌ Atlas ๋ฐ ๊ณ ๊ธ ์๋น์ค: Atlas(์์ ๊ด๋ฆฌํ ํด๋ผ์ฐ๋ ๋ฐ์ดํฐ๋ฒ ์ด์ค ์๋น์ค), Atlas ์คํธ๋ฆผ ์ฒ๋ฆฌ, Atlas ๋ฐ์ดํฐ ๋ ์ดํฌ, Atlas ์ ์ฒด ํ ์คํธ ๊ฒ์, Atlas ๋ฒกํฐ ๊ฒ์ ๋ฐ ์ฐจํธ์ ๋ํ ์ ๋ฌธ์ฑ ํ๋ณด Relational Migrator: ๊ด๊ณํ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ์ํํ ๋ง์ด๊ทธ๋ ์ด์ ํด ์์ฅ ๊ด๋ จ ๊ธฐ์ ํ์ดํผ์ค์ผ์ผ๋ฌ ์ํ๊ณ: ํ์ดํผ์ค์ผ์ผ๋ฌ ํ๋ซํผ์ ํด๋ผ์ฐ๋ ์๋น์ค๋ฅผ ํ์ฉํ์ฌ ๋ณต์กํ ์์คํ ์ค๊ณ ์ ๋ฌธ์ฑ ํ๋ณด ๋ณด์ ๊ธฐ์ : Apache Kafka
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our teamโs tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Airbnb. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: Marketing Mix Modeling: Design, build, and maintain MMM models that est
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Engineering Manager, SDET โ Okta Identity Governance (OIG) Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Identity Governance Team Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world โ the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. Quality here is a compliance bar, not just a user experience one. When a governance product has a defect, a company can stay over-provisioned on access it believes it revoked, or hand an auditor evidence that isn't true. The Senior Engineering Manager, SDET Oppo
Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As a Global Public Sector Implementation Delivery Manager (IDM), you are the single-threaded technical owner of delivery for one of Altanaโs most important public sector accounts or organizations. You blend enterprise architecture, hands-on deployment, and product design and development with the relationship skills to be the trusted technical voice in the room for the mission owners you serve. You lead a small, account-aligned implementation pod and are accountable for turning a closed-won account into mission outcomes: architecting the deployment, delivering it in secured and regulated environments, keeping it healthy, and finding the next place Altana can create value. You do this hip-to-hip with commercial โ partnering with the Technical Account Managers (TAMs) and Program Managers who run the account โ using delivery credibility to enable organic growth and inside sales without carrying the commercial number yourself. This role reports to a GPS Implementation sub-vertical lead (Trade, Resilience, or Policy) within the Implementation function, and is deployed against a named strategic account. For example, an IDM aligned to U.S. Customs and Border Protection (CBP) would report to the Trade sub-vertical lead. Your Responsibilities Own delivery outcomes for a named strategic account or account groups. Serve as the single-threaded technical owner for implementation and platform delivery to a key public sector account or organization, from post-award through sustainment. Deliver on-time against contractual commitments and hold the technical quality bar. Set and steward the account architecture. Translate mission outcomes into a coherent enterprise/solution architecture across SaaS and regulated PaaS environments. Own the deployment, integration, and data-m
Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleepโall in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, weโre on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, youโll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Business Intelligence Analytics Projects Senior Analyst to our Channel Partners team in Sรฃo Paulo, Brazil ! This role is designed for a highly analytical, data-driven professional, with a strong performance mindset and a clear focus on scalability and efficiency. You will act as the technical architect and visual storyteller of our partner ecosystem, owning the full insight lifecycle, from modeling complex data using SQL and Python to delivering executive, ready insights through Looker, Metabase, Google Analytics, and Google Workspace, while actively leveraging AI-powered tools to scale data management and insight delivery for Channel Partners. Your mission is to turn data into measurable performance gains, accelerating decision-making through automation, intelligence, and clarity. YOUR IMPACT Act as a strategic analytics partner for Channel Ops and Strategy, translating performance questions into scalable technical and AI-enabled solutions. Enable teams through data literacy, tooling, and AI usage coaching, reinforcing a strong data-driven and performance-oriented culture. Identify inefficiencies across the
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, youโll be part of a passionate team dedicated to accomplishing hard things, together. Senior Consultant Location: Chennai, India | Work Model: In Office Appian Customer Success is obsessed with delivering exceptional customer outcomes and driving mission-critical business impact. Grounded in our core values of Excellence and Intensity, we act as elite technical advisors to our commercial clients. By joining this high-performance team, you will champion a culture of candid communication and excellence while accelerating global adoption of our AI-Powered Process Automation platform. What Youโll Do Implement Scalable Platform Architecture: Build and maintain standards and tools to ensure high performance and resilience with a focus on reusability, schema design, data modeling , query performance, and responsive UX/UI best practices. Engineered Integrations: Perform hands-on design, code implementation, and unit testing using SQL views , stored procedures , and high-concurrency REST/SOAP web services/APIs . System-Level Troubleshooting: Rapidly diagnose performance bottlenecks, memory usage, CPU constraints, and network latency spikes across the web application stack. Performance Profiling & Analysis: Analyze database execution plans, system logs, and Locust load test outputs to isolate and resolve root-cause performance bottlenecks. Technical Quality & Enablement: Ensure continuous integration and delivery alignment by applying strong DevSecOps practices, robust automated testing, and clean coding standards. Required Qualifications Bachelorโs Degree in Computer Science, Engineering, Information Systems, or Mathematics. 8+ years of pro
Amplitude is the leading AI analytics platform, helping over 4,700 customersโincluding Atlassian, Burger King, NBCUniversal, and Squareโbuild better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2โs Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitudeโs Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusionโone focused on psychological safety, empathy, and human connectionโthat will allow employees of all backgrounds to thrive. About The Role & Team Amplitudeโs mission is to help companies build better products. By building best-in-class teams, we create best-in-class products that customers love. We approach challenges with humility, we take ownership over our work, and our growth mindset pushes us to constantly improve ourselves, each other, and the value we bring to customers. Join us as we deliver innovative and creative solutions to our customers. We're looking for a Customer Success Architect, based in India and supporting Global Customers , with experience providing guidance on data management and consultative support on customer taxonomy and tech stack. Maintaining and establishing clean product analytics data is critical for our customers to be able to understand and drive their products forward. The ideal candidate is an enthusiastic professional who thri
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