Delivery Driver Rx Tech Jobs

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Data Analyst on the Finance team, you’ll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. This high-impact role blends analytical rigor, technical fluency, and business acumen to steer strategy and identify opportunities for scalable growth. The Finance Data team partners with both Finance and other teams across Vanta. You’ll collaborate closely with stakeholders to build trust and deliver data-driven recommendations; your work will influence everything from operating plans and investment decisions to self-serve reporting and process automation. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment, with visibility into executive-level priorities and the ability to shape them with data. What you’ll do as a Senior Data Analyst at Vanta: Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions. Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more. Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows. Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business. Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights. How to be successful in this role: Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS

The Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to provide actionable business insights, improve operational efficiency, support strategic decision-making, and develop performance monitoring solutions. The role involves working closely with cross-functional teams to identify trends, optimize processes, and deliver data-driven recommendations. Source: Adani Group | Job ID: 55792

About the Team At Trendyol Private Label, we design fashion-forward, high-quality collections that are accessible and relevant to diverse lifestyles. From capturing global trends to delivering affordable style, we turn creativity into collections—fast. Our cross-functional teams shape the future of fashion retail with agility, market insight, and an obsession with customer needs. In a dynamic, design-driven environment, we grow together—as individuals and as a team. About the Role As a Fashion Designer, you’ll create seasonal Womenswear collections with a focus on woven and jersey lines, combining creativity and market insights to deliver trend-driven products. You’ll collaborate with cross-functional teams to shape our assortment and contribute to a vibrant, high-performing design environment.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Internal Audit Analytics Associate, you'll join the IT Internal Audit team within Finance to deliver data-driven, third-line assurance across Coinbase's global technology infrastructure and crypto-native products. You'll extract, analyze, and validate large datasets from internal systems to assess the design and operational effectiveness of IT and security controls. This role translates complex audit data requests into precise SQL-based extracts and actionable findings that directly support the audit team's control testing objectives. What you'll do: Execute in-depth data analysis to assess IT and security control effectiveness by writing complex, reusable SQL queries against Snowflake and other internal data platforms. Validate system and model changes by performing comprehensive testing of their compliance and performance impact, documenting results for relevant stakeholders. Produce accurate data extracts and reports from multiple sources, translating complex audit data requests into clear, actionable requirements and outputs. Test data ETL processes from upstream production systems into the data repository and from the repository into enterprise tools, validating completeness and accuracy at each stage. Design and enhance metrics dashboards to measure IT and security system performance and provide actionable insights to the Internal Audit team. Partner cros

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 vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti

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 Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers’ success. We form partnerships with customers by listening, learning and building connections. Snowflake’s values are key to our approach and success in delivering world-class Support. Putting customers first, acting with integrity, owning initiative and accountability and getting it done are Snowflake core values and are reflected in everything we do. Snowflake’s Support team is expanding! We are looking for a Manager to lead our Escalation Management Team. As a Manager of Escalation Management, you will help our customers achieve their business goals by providing outstanding service and support to our most critical customers in their most important time of need. You possess an excellent track record of leading high-performance teams in multiple aspects, extensive experience in the areas of Technical Support and Support Escalations, and the proper skills to create operational, tactical and strategic goals for the Escalations organization. You have broad experience creating detailed proactive and reactive business models, analyses and processes all of which have fuele

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. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role We are looking for a Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis and reporting. ● E

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. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team- Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role- We are looking for a Senior Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis

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. Cloud Support Engineer — AI/ML & Programmability (Night Shift) Location: Pune, India Snowflake's Support team is expanding. We're looking for a Cloud Support Engineer who enjoys working with data and solving a wide variety of problems, drawing on hands-on experience across operating systems, database technologies, big data, data integration, connectors, and networking. Our mission is to make Snowflake the preferred platform for running all AI, ML, data science, and data engineering workloads. You'll join a highly productive, fast-moving team supporting Snowflake Cortex and our ML product lines — work that is central to delivering on Snowflake's AI Data Cloud mission. Snowflake Support is committed to providing high-quality resolutions that help customers deliver data-driven business insights and results. We are a team of subject matter experts working collectively toward our customers' success, building partnerships by listening, learning, and connecting. Snowflake's values shape how we deliver world-class Support: putting customers first, acting with integrity, owning initiative and accountability, and getting it done. As a Cloud Support Engineer, you'll be the technical partner our customers turn to for guidance on using Snowflake effectively. You'll also be the voice

Job Title Internship: Generative AI Engineer Job Description Start date: November (we are flexible) Duration: at least 3 months (with the option to extend) Type: Internship, Non-Thesis Weekly presence: 40 hours (32 hours could be an option), at least 3x week on-site Location: Eindhoven HTC Job title: Internship: Generative AI Engineer We're seeking an intern with hands-on expertise in Machine Learning, Natural Language Processing and Generative AI to join our team. In this role, you will design and build innovative and ethically responsible Generative AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact. Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector. Your role: Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more Clean, preprocess, and curate data for evaluation, fine-tuning, and training Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights Keep up the latest advancements in generative AI research and integrate new techniques into the development process You're the right fit if: You are studying towards your Bachelor or Master's degree in Computer Science, Electrical Engineering, or a related field You have at least one year of hands-on experience developing NLP and ML/DL so

JOB TITLE User Access Certification Analyst A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting with discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO Develop and scale the firm’s user access certification program, driving measurable improvements in access hygiene and enforcement of least privilege Support execution of periodic access certifications across enterprise systems, assisting with multiple reviews at different stages simultaneously Analyze and validate large access-control datasets to identify excessive, inappropriate, privileged, or high-risk access Perform data quality assurance and reconciliation to ensure completeness, accuracy, and consistency of access and entitlement data before and during certifications Track certification progress and remediation status using metrics and dashboards, and deliver data-driven insights to accelerate closure Investigate data discrepancies and anomalies, coordinate with certifiers, application owners, technical subject matter experts, and development teams to drive timely resolution Validate remediation and deprovisioning outcomes through targeted data verification and reconciliation activities Produce clear, audit-ready reporting and artifacts on certification results, access risk, and remediation outcomes for internal and external audits Partner with system and application owners to interpret access data and support decisions that reduce access risk and uphold least privilege principles Innovate certification lifecycle processes by applying automation, reporting i

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various cross-functional teams to resolve customer concerns, escalate issues, advocate for customer needs, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Continually learn new technologies to build competitive knowledge, technical skill, and credibility Deliver value-driven product and technical presentations to Datadog customers Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks Think creatively to solve a wide variety of technical challenges throughout the sales cycle Who You Are: Has 1 year or more of experience in a technical sales and/or post-sales role Has working knowledge of cloud infrastructure, modern application architectures, observability, and/or DevOps technologies Enjoys collaborating and teaming up with others Demonstrates strong written and oral communication skills Comfortable and confident in delivering technical presentations & demos Can multi-task, manage time well, and be responsive to others Curious, adaptable, and eager to continually learn and expand technica

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Build and grow with us! Join Flexport Germany as an Account Executive and supercharge your career! The opportunity: The Enterprise Account Executive is responsible for acquiring and developing net-new enterprise customers through a structured, consultative sales process. This role focuses on managing moderately complex sales cycles involving multiple stakeholders, longer decision timelines, and tailored solutions. The AE owns the full sales cycle from prospecting through close and initial onboarding, partnering closely with SDRs and cross-functional teams to deliver value-driven enterprise solutions. Your responsibilities as an Account Executive, ENT include, but are not limited to the following: Pipeline & Opportunity Ownership Identify, engage, and close net-new enterprise customers, meeting/exceeding individual quotas. Build and manage a pipeline through self-prospecting and SDR-supported outreach. Qualify opportunities rigorously, aligning customer needs and timing with Flexport’s capabilities. Maintain accurate opportunity management and forecasting in Salesforce (SFDC). Enterprise Discovery & Solution Design Lead in-depth discovery with enterprise cus

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. The Finance & Strategy team partners closely with Finance leadership and teams across Product, Engineering, Recruiting, Procurement, and Accounting to guide key business decisions. The team focuses on financial planning, investment analysis, and portfolio performance tracking to support strategic initiatives, including venture fund activities. The work centers on developing clear financial insights that help leadership understand performance trends and evaluate opportunities. The team values thoughtful analysis, clear communication, and strong collaboration across functions! As a Finance & Strategy Senior Analyst, this role supports venture fund initiatives through financial modeling, portfolio analysis, and planning and reporting processes. The position works closely with senior leaders to deliver data-driven insights that inform capital allocation and strategic priorities. Responsibilities span both structured financial reporting and flexible analysis across business areas. The role also contributes to improving financial processes through standardization and automation, along with advancing AI-driven workflow improvements! This role is based in our Menlo Park, CA

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e