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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Growth team is on a mission to acquire, convert, and grow millions of merchants globally across the full Stripe suite of financial products. We're a cross-functional team of engineers, scientists, marketers, designers, and product managers that deliver the insights, algorithms, internal systems and tools, and user-facing experiences that fuel our growth. We help businesses around the world find Stripe, get started, and grow. As part of the Growth Engineering team, you'll build the systems, products, internal tools, and customer-facing experiences that power intelligence behind our go-to-market and product-led growth. This includes building ML-powered recommendations and growth experimentation engines, multi-channel notification systems, and key growth-related customer experiences (e.g., onboarding flows, user dashboards, product recommendations). What you'll do As a full-stack engineer on the Growth team, you'll build and ship experiments and product improvements across stripe.com and the Dashboard to help businesses find and get started on Stripe. You'll work on critical parts of the funnel for self-serve users, ensuring their experience on Stripe is consistently high-quality. With other engineers and data scientists, you'll turn ML-powered recommendations, messaging, and experimentation into impact that moves company metrics. Responsibilities Build and maintain scalable systems and customer experiences that help businesses discover, on

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Join our NAND Technology Integration (NTI) team as an experienced Electrical Failure Analysis Engineer , where you will be the go-to expert for diagnosing yield-limiting failures in next-generation NAND products. You will combine deep semiconductor expertise with bench testing, probe data analysis, and physical failure analysis to pinpoint failure mechanisms, accelerate yield learning, and deliver actionable insights that shape the technology development lifecycle. Key Responsibilities Lead electrical failure analysis — characterization, fault isolation, failure verification, and physical de-processing of semiconductor devices. Drive root cause analysis of yield-limiting failures by correlating electrical, inline, parametric, probe, and fab data. Pioneer new FA methodologies and de-processing techniques to improve detection accuracy and turnaround time. Apply data analytics to large-scale semiconductor datasets to surface failure signatures, trends, and anomalies. Deliver clear FA reports and visualizations that communicate findings to technical and executive audiences. Partner with Proc

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. Data and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bike & scooter share by leveraging data to improve the performance of our bikeshare and scooter markets across America. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with Operations, Hardware, Software, Product and Finance teams to identify opportunities and gaps in performance. You will work in a fast-paced environment where your analytical insights will directly impact strategic decisions around hardware product development, staffing, and product changes, ultimately driving better performance and long-term investments in micromobility infrastructure. We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets Work with our bike & scooter share markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders Collaborate with cross-functional teammates to tackle complex problems including: asset maintenance, system health and labor for

P- 1536 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Partner Ecosystem team’s mission at Databricks is to enrich and win customer workloads through seamless integrations with strategic partners, while also widening the partner ecosystem to include new partners and data applications. This team enables seamless connectivity between Databricks and a vast range of partner applications through SQLDrivers. This vital data integration work powers the majority of the company’s Data Warehousing revenue by allowing customers to effortlessly connect their applications to Databricks SQL. In addition to that, through products like Databricks Partner Connect, we are simplifying the discovery and integration process, allowing you to seamlessly incorporate your preferred tools directly within the Databricks platform. We are seeking an experienced Staff / Sr Staff Engineer to join our Partner Ecosystem team. In this role, you will design, develop, and maintain SQL drivers that power the majority of the data warehousing traffic and critical infrastructure components that power our partner integrations. You'll focus on optimizing SQLDrivers for performance, improved reliability and telemetry to offer seamless connectivity to our partners and enterprise customers, while also maintaining open source repositories and actively engaging with the developer community. You will collaborate wi

P-1093 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings. As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art: Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization Efficient storage structures and innovations to power storage layout solutions for the ML world Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables The Impact you will have: Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners Deliver a highly scalable, available, and inter-operable architecture for Managed Tables. Lo

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges. Smartsheet is seeking a Senior Business DevOps Engineer to join our Corporate Systems Development team in Bangalore. This role will focus on building and scaling our CI/CD pipelines, infrastructure automation, monitoring frameworks, and deployment processes supporting mission-critical integrations across Finance, People, Sales, Legal, IT, and Engineering systems. You’ll work across a variety of systems and platforms (AWS, GitLab, DataDog, Terraform, Boomi, UiPath) to streamline deployment of backend integrations and automation solutions. If you thrive on optimizing developer velocity, ensuring system reliability, and automating everything from build to deploy, this role is for you. The position reports to the Senior Manager, Systems Development and collaborates closely with global developers, architects, and application administrators to ensure our platform foundations are secure, efficient, and scalable

Job Title: Assistant – Operations Employment Type: Contract (12 months) Location: Bengaluru, India Work Type: Office-based Experience: 1–1.5 years About ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities • Biometric & Access Management: Manage biometric attendance systems and employee access control. Activate access for new joiners and deactivate access for exiting employees. Coordinate maintenance and troubleshooting of biometric devices. Maintain and update biometric and access trackers. • CCTV Monitoring & Maintenance: Monitor CCTV systems and ensure proper functioning. Maintain CCTV time synchronization and recording accuracy. Coordinate with vendors/service providers for maintenance and issue resolution. • Security & Housekeeping Coordination: Supervise security and housekeeping operations. Manage attendance and manpower allocation for security/HK staff. Ensure workplace cleanliness, safety, and operation

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! The Bazaarvoice Content & Creators (C&C) Technical Services team is hiring an Implementation Engineer with experience delivering custom integration technologies in a professional services capacity. As a Technical Services Engineer, you will partner closely with client-facing and engineering colleagues in the US, UK, and Australia to deliver and support Bazaarvoice C&C products and services. This is a hybrid role that incorporates both business and technical responsibilities.

About the Team Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision-making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms' data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business-first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves. About the Role In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM-aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store orga

P-1549 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Mission Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds. We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers . This is a zero-to-one role with two deeply connected charters: Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems. Build the search subagents that sit on top of that stack and reason about what context is needed , how to retrieve it , and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it. If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you. What You Will Do Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come. Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queri

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better unde

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB. We are looking for a Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The Ideal Candidate Will Have 3+ years of commercial software development experience with strong proficiency in Python and/or Java Experience designing and building scalable, high-performance APIs and backend services Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation Good und

About the Team At Trendyol Finance, we drive financial clarity, sustainability, and smart decision-making at every level of the business. As a strategic partner to commercial teams, we bridge data with action—ensuring efficiency, compliance, and long-term value creation. From budgeting to forecasting, we turn numbers into insights that shape Trendyol’s growth journey in a fast-moving ecosystem. About the Role This role sits at the intersection of finance, business processes, and technology within the ERP organization, works closely with cross-functional teams to translate financial requirements and IFRS standards into scalable system solutions, and bridges the gap between finance and IT to drive operational efficiency and transformation initiatives.

We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joi