Sökresultat för "USALI"

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY CONSUMER FRONTEND? Consumer Frontend’s team mission is to deliver the frontend architecture, components, libraries, navigation patterns, and core UI necessary for a high-quality, performant, intuitive, and observable consumer user experience for gaming and all future use cases. One of the focus areas is UX Excellence through Standardization, where the goal is to maintain a comprehensive library of high-quality components and navigation patterns that ensure a consistent and intuitive experience across all consumer surfaces. As a Data Scientist on the team, you will partner with engineers, product managers, designers, and leaders across the company to shape the future of user navigation, discovery, and interaction across the Roblox app. This includes helping define and evaluate foundational information architecture, navigation systems, and cross-surface user experiences, while also contributing to the measurement strategy for emerging AI-enabled workflows that accelerate how user experiences are designed, built, tested, and iterated. This area is pivotal to Roblox’s long-term success, directly impacting user engagement, retention, and the overall quality of the consumer experience. You will define KPIs and measurement frameworks for navigation efficiency, content discoverability, user friction, and UX quality, and leverage analytics, experimentation, and statistical rigor to influence product decisions and drive continuous improvements to the usability and effectiveness of the Roblox app. You Will: * Define and measure the success of Roblox’s information architecture, navigation systems, and core user experiences. Develop metrics and frameworks that quantify navigation efficiency, information discoverability, user friction, and overall UX quality. * Develop a deep understanding of user journeys, navigation behaviors, and user intent across the Roblox app. Identify opportunities to improve how users discover content, navigate between surfaces, and accomplish their goals, and translate those insights into product strategy and UX improvements. * Establish decision-making frameworks for evaluating trade-offs across user journeys, surfaces, and product objectives. Help teams understand the downstream effects of navigation and information architecture changes, balancing local optimizations with the health and effectiveness of the broader consumer experience. * Leverage experimentation, causal inference, and statistical modeling to evaluate platform-wide initiatives and cross-surface UX investments. Design rigorous approaches to measurement in environments where traditional experimentation may be challenging. * Partner closely with Product, Engineering, Design, and Data Science leaders across Consumer Apps and adjacent organizations to influence product strategy and shape the future of how users navigate and interact with Roblox. * Perform deep-dive analyses and build scalable measurement frameworks that enable teams to monitor UX health, identify regressions, uncover emerging opportunities, and make data-informed decisions at scale. You Have: * An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field. * 5+ years of industry experience in Data Science or a related quantitative discipline, preferably in consumer-facing products or consumer applications. * Strong analytical and technical skills, including experience working with large-scale datasets and proficiency in SQL and Python/R. * Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to influence product strategy and business outcomes. * Demonstrated ability to independently drive ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks and solutions. * Experience partnering cross-functionally with Product, Engineering, Design, and leadership teams to shape strategy, prioritize investments, and drive organizational alignment. * Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear, actionable insights for both technical and executive audiences. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $263,670—$322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Data Analyst, Customer Interfaces We are seeking a high-impact, product-minded Senior Data Analyst to join our Customer Interfaces Data team. In this role, you will be the analytical engine behind proving how our customer-facing interfaces, localized user portals, and standardized design systems drive tangible business results. You will take a holistic, outcome-oriented view of the entire customer journey, moving away from traditional, siloed reporting to design advanced metrics frameworks that optimize interface experiences and reduce user friction. You will act as a strategic partner to Product, UX Design, and Engineering, directly influencing what we build, how we measure interface adoption, and how we empower product teams to make data-driven decisions independently. What you’ll do * Own the Interface Metrics Strategy: Design, deploy, and maintain robust metrics that directly align interface performance to merchant success. * Design System Analytics: Partner with our design and frontend engineering teams to measure the adoption, usability, and UI performance of standardized design system components across all platforms. * Drive Localization Optimization: Conduct rigorous data deep dives into localized products and market-specific interfaces to ensure Adyen's products feel native, intuitive, and conversion-optimized in every region. * Execute Rigorous A/B Testing: Design and execute large-scale conversion experiments and A/B tests to validate interface design hypotheses. Partner with teams to govern UX event-based analytics tools (such as Mixpanel) to measure user behavioral patterns cleanly. * Strategic product partner: Act as a trusted data consultant for product, design, and engineering. Provide proactive recommendations, challenge assumptions, and lead impact-driven reviews of our core customer-facing systems. Who you are * Seasoned Analyst: You have 7+ years of experience in product analytics, UX analytics, or web/mobile interface behavioral data roles within a fast-paced setting. * Experimentation and statistical expert: Proven experience in designing, driving, and rigorously analyzing large-scale experiments and A/B tests, including statistical analysis, that lead to significant, scalable business impact. * Technically Proficient: Advanced SQL and Python are part of your daily toolkit. You are "Data Engineer Lite," with hands-on experience using Airflow for orchestration and PySpark/Pandas for large-scale data processing in a Big Data environment (Hadoop/Jupyter). * AI-Native Thinker: You treat AI as a powerful collaborator. You are highly skilled in prompting, validating, and debugging AI-generated code and insights, keeping a sharp eye on data quality and governance. * Effective communicator: An excellent communicator in English who can deal with ambiguity, collaborate with diverse stakeholders, and translate complex insights for both technical and non-technical audiences in a global team. * Strategic executor: You excel at breaking down complex problems, prioritizing effectively, leading impactful projects, and aligning your work with strategic goals. * Curious and scalable mindset: You possess a curious mindset, with a continuous drive to iterate, improve, and find better, scalable solutions. This role's annual base salary range is $169,000 – $232,000 plus RSUs. To learn more about our compensation philosophy, please click here. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!   What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.   SAN FRANCISCO  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Mongodb

We are seeking a Senior Engineer to join our Migration Services team, which owns Atlas Live Migration. This diverse group of engineers is responsible for architecting, deploying and managing fully automated, low-downtime data migration services at cloud scale. Our tooling is built directly into our cutting edge, multi-cloud database service, MongoDB Atlas, and is critical for migrating enterprise workloads into Atlas. As a Senior Engineer on this team, you will design and build new solutions to address our scalability, performance, and usability challenges. This role can be based out of our Dublin office or remotely in Ireland. RESPONSIBILITIES * Work closely with product, design, and engineers across the organization to collectively build features that our customers love * Stay up to date on the latest advancements in Cloud computing and software development to bring them into our product * Solve difficult technical problems in a distributed environment * Own the planning and delivery of major features from ideation through design and implementation * Define your top priorities and focuses, then communicate and execute against them * Mentor and contribute to the growth of team members CANDIDATE PROFILE * 5+ years of hands-on experience in software engineering, primarily focused on backend systems * Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) * Comfortable working across the stack of a modern web application (e.g. React, TypeScript, Enzyme) * Experience with at least one major cloud provider technology (AWS, Azure, GCP) * Led the launch of new features and maintained them in production * Curious, collaborative, empathetic and intellectually honest * Motivated to solve tough problems and continually expand their knowledge * Excellent written and verbal communication skills SUCCESS MEASURES * In three months, you are developing a deep understanding of MongoDB and our migration tooling. You will have shipped code into production and collaborated with the team to solve tough problems * In six months, you are reviewing new feature designs, with an active role in the design and implementation of a major project, while leading development of smaller performance enhancements * In twelve months, you are leading the design and development of major new features, and will be mentoring new engineers. You’ll have a strong familiarity with the products the team owns and can work across the codebase ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 4263289669

Mongodb

We are seeking a Senior Engineer to join our Migration Services team, which owns Atlas Live Migration. This diverse group of engineers is responsible for architecting, deploying and managing fully automated, low-downtime data migration services at cloud scale. Our tooling is built directly into our cutting edge, multi-cloud database service, MongoDB Atlas, and is critical for migrating enterprise workloads into Atlas. As a Senior Engineer on this team, you will design and build new solutions to address our scalability, performance, and usability challenges. This role can be based out of our Dublin office or remotely in Ireland. RESPONSIBILITIES * Work closely with product, design, and engineers across the organization to collectively build features that our customers love * Stay up to date on the latest advancements in Cloud computing and software development to bring them into our product * Solve difficult technical problems in a distributed environment * Own the planning and delivery of major features from ideation through design and implementation * Define your top priorities and focuses, then communicate and execute against them * Mentor and contribute to the growth of team members CANDIDATE PROFILE * 5+ years of hands-on experience in software engineering, primarily focused on backend systems * Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) * Comfortable working across the stack of a modern web application (e.g. React, TypeScript, Enzyme) * Experience with at least one major cloud provider technology (AWS, Azure, GCP) * Led the launch of new features and maintained them in production * Curious, collaborative, empathetic and intellectually honest * Motivated to solve tough problems and continually expand their knowledge * Excellent written and verbal communication skills SUCCESS MEASURES * In three months, you are developing a deep understanding of MongoDB and our migration tooling. You will have shipped code into production and collaborated with the team to solve tough problems * In six months, you are reviewing new feature designs, with an active role in the design and implementation of a major project, while leading development of smaller performance enhancements * In twelve months, you are leading the design and development of major new features, and will be mentoring new engineers. You’ll have a strong familiarity with the products the team owns and can work across the codebase ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 4263289669

Mongodb

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting. This role can be based out of one of our NYC, Austin, Palo Alto, or San Francisco office locations or remotely in the United States. WHAT YOU'LL DO * Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor * Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories * Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise * Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes * Ruthlessly prioritize the product backlog, breaking down massive, ambiguous data initiatives into well-scoped, high-value increments. Direct agile delivery from sprint planning through to release while aggressively managing cross-functional dependencies * Establish and track aggressive success metrics focused on product adoption, system usability, data accuracy, and quantifiable business value * Own the data lifecycle from deployment to adoption. Drive organizational change management, establish comprehensive technical documentation, and proactively lead incident resolution alongside engineering to continuously optimize system uptime WHAT WE'RE LOOKING FOR * 3 - 5 years of strong, technical Product Management experience, specifically managing data-as-a-product * Direct experience partnering with Finance teams on planning, forecasting, and reporting workflows * Deep familiarity with modern data architecture, including lakehouse and medallion models * Strong product judgment and an outcomes-oriented mindset, with the ability to balance user needs, business priorities, technical direction, and delivery constraints while driving measurable impact and adoption * Hands-on experience with ERPs and core finance systems, with a strong understanding of journal entries, AR/AP, and aging schedules * Familiarity with FP&A and Workforce Planning (WFP) ecosystems * Experience handling sensitive data and SOX compliance, with the judgment to balance risk controls with velocity * Strong communication skills, with a track record of providing clear product visibility to both technical and non-technical stakeholders * High autonomy, with the ability to take full ownership of workstreams once priorities are aligned * Experience at top-tier software companies with consumption-based business models is a major plus ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 2273437387 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $108,000—$212,000 USD

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As Senior Software Engineer on the Avatar Animation team, you will leverage the Roblox game engine and tools to build groundbreaking experiences that push the boundaries of what is possible on the platform. Your efforts will not only help create amazing content, but more importantly, will help us highlight issues, improve and extend our animation tech, tools and pipeline for all developers. These efforts will enable our game developers to create engaging and delightful experiences for our millions of players. We are looking for a software engineer who is passionate about animation and world class user experiences including both usability and performance. You need to be proficient in C++ and have experience working on animation systems and tools. Prior experience with animation for games / interactive experiences is a huge plus. YOU WILL: * Help develop experiences that push the quality bar beyond what was previously thought possible on the platform * Analyze existing animation tech and tools and determine what is needed to meet a project's objectives * Author documentation on issues, improvements and feature requests for all aspects of character animation tech on Roblox * Work closely with gameplay engineers to implement gameplay interactions using animation tech * Implement innovative solutions to feature requests and collaborate with the Roblox avatar animation team on larger features * Have fun working with our internal content teams and community developers to improve the overall state of animation on Roblox YOU HAVE: * 8+ years of experience for with knowledge of character animation, game engines and tools * Proficiency in C++: Strong C++ programming skills with an ability to write high quality, performant code; experience with Lua is a plus * Passion about interactive: You are driven to build amazing experiences with great animations for users on the platform * Foundation oriented mindset: You believe that strong 3D math skills and a well thought out code architecture are important * Performance focus: You embrace software performance considerations, with an ability to implement performant solutions for platforms including mobile * Personally Motivated: Self-sufficient, self-organized and able to take ownership of a project throughout its full lifecycle * A Team player mentality: Ability to work closely with and inspire the rest of your team while displaying excellent interpersonal and communication skills   For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $242,100—$293,800 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Cloudflare

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.  At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. POSITION LOCATION: AUSTIN, TX | NEW YORK CITY, NY | WASHINGTON, DC ABOUT THE ROLE Join the Workers Deploy & Config team, the engine behind Cloudflare’s serverless edge developer platform. You’ll build the large-scale systems that let developers deploy, configure, and manage Workers globally, from simple static sites to full-stack applications serving millions of users. This team powers the foundation behind much of Cloudflare’s developer platform, including services like Pages and R2. The work combines distributed systems, high-traffic APIs, performance, reliability, and developer experience. RESPONSIBILITIES * Design, build, and ship features and services within the Workers control plane. * Improve the platform’s performance, availability, and scalability. * Design resilient storage schemas and I/O patterns for long-term platform growth. * Contribute to architecture and design discussions for foundational capabilities. * Own production reliability, including participation in on-call rotation. * Partner with Product Managers and customers to translate complex problems into scalable solutions. * Drive projects independently from requirements and specs through implementation, testing, and release. * Share knowledge and mentor interns and junior engineers. * Research, prototype, and introduce new technologies when they solve meaningful problems. DESIRABLE SKILLS, KNOWLEDGE & EXPERIENCE * Strong experience using Go in production environments. * Experience with JavaScript and TypeScript. * Experience with metrics and observability tools such as Prometheus and Grafana. * Experience with SQL and relational databases such as PostgreSQL. * Experience with Kubernetes or similar deployment tools. * Knowledge of or experience with distributed systems. * Proven ability to drive scoped projects from concept to release. * Familiarity with implementing and consuming RESTful APIs. * Proficiency using AI coding assistants and agents with good judgment to review and verify generated code before shipping. BONUS POINTS * Experience scaling systems to meet increasing performance and usability demands. * Experience working on a control plane or data plane. * Experience using Cloudflare Workers or Pages. * Product mindset and comfort talking to customers and partners. * Familiarity with GraphQL. * Familiarity with RPC. COMPENSATION Compensation may be adjusted depending on work location. * For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $150,000 - $206,000 EQUITY This role is eligible to participate in Cloudflare’s equity plan. BENEFITS Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. HEALTH & WELFARE BENEFITS * Medical/Rx Insurance * Dental Insurance * Vision Insurance * Flexible Spending Accounts * Commuter Spending Accounts * Fertility & Family Forming Benefits * On-demand mental health support and Employee Assistance Program * Global Travel Medical Insurance FINANCIAL BENEFITS * Short and Long Term Disability Insurance * Life & Accident Insurance * 401(k) Retirement Savings Plan * Employee Stock Participation Plan TIME OFF * Flexible paid time off covering vacation and sick leave * Leave programs, including parental, pregnancy health, medical, and bereavement leave   What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Databricks

P-1439   As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data. The impact you will have: * Build features and run end-to-end systems in a small team of experienced engineers and data scientists. * Shape the direction of our applied ML investment by engaging with engineering and product teams across the company. * Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services. * Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments. * Work on novel modeling techniques in the field of ML for forecasting. * Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader. What we look for: * 2-8 years of machine learning engineering experience in high-velocity, high-growth companies * Strong understanding of both computer systems and statistics * Experience developing AI/ML systems at scale in production * Strong track record of ML modeling that goes beyond using standard libraries. * Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment. * A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML. * Nice to have: experience deploying, scaling, and monitoring models in production; understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Now part of Databricks since July 2023, we are passionate about enabling our customers 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 platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities. Summary:  Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building. You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user-facing features to low-level GPU orchestration. You will: * Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models * Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform * Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation * Design and build the core platform infrastructure that supports our customer-facing product features * Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product We look for: * 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++ * Strong sense of distributed systems design and experience building large-scale systems * Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving * Direct experience developing ML models is a plus but not required * Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability * Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders. We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $166,000—$225,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1443 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights. Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable. As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks. WHAT YOU’LL DO * Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling. * Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences. * Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale. * Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability. * Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases. * Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences. WHAT WE LOOK FOR * 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems. * Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks. * Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces. * Experience designing scalable systems and abstractions that support interactive, high-performance product experiences. * Proven ability to collaborate cross-functionally and deliver impactful user-facing features. * Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus. * Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus. * Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.    Canada Pay Range $146,200—$201,100 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

RDQ126R47 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. Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog’s enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities * Technical Leadership: Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. * Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. * Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features. * Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect. What We Look For * 15+ years of industry experience building and operating large-scale distributed systems. * Proven track record of driving initiatives focused on customer satisfaction and incremental delivery. * Deep computer science expertise (algorithms, data structures) with real-world application. * Strong leadership, communication, and cross-functional collaboration skills. * BS in Computer Science or related fields (MS/PhD preferred) * (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control. Why Join Us? * Influence the direction of industry-leading data and AI governance solutions. * Work with world-class engineers and thought leaders in a collaborative, high-impact environment. * Competitive compensation, comprehensive benefits, and opportunities for professional growth.     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $217,000—$312,200 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

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.   As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. * Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model.  * Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing. * Deliver unified frontend data clients and service components. * Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences. * Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features.  * Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption). What we look for: * 10+ years of experience with HTML, CSS, and JavaScript/TypeScript * Experience leading large multi-quarter efforts with a demonstrated customer or business impact * Passion for user experience and design and an understanding of front-end architecture * Comfortable working towards a multi-year vision with incremental deliverables * Motivated by delivering customer value * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * Familiarity with server-side web technologies is a plus * Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability * Experience building large-scale products Benefits * Comprehensive health coverage including medical, dental, and vision * 401(k) Plan * Equity awards * Flexible time off * Paid parental leave * Family Planning * Gym reimbursement * Annual personal development fund * Work headphones reimbursement * Employee Assistance Program (EAP) * Business travel accident insurance * Mental wellness resources       Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $181,000—$261,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-925 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. As a Senior Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. * Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. * Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. * Seamless onboarding and management for all members of an organization to become data-driven. * Provide a great SQL-centric data exploration and dashboarding experience on Databricks * An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: * 5+ years of experience with HTML, CSS, and JavaScript * Experience leading large multi-quarter efforts with a demonstrated customer or business impact * Passion for user experience and design and an understanding of front-end architecture * Comfortable working towards a multi-year vision with incremental deliverables * Motivated by delivering customer value * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * Familiarity with server-side web technologies is a plus * Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability * Experience building large-scale products Benefits * Comprehensive health coverage including medical, dental, and vision * 401(k) Plan * Equity awards * Flexible time off * Paid parental leave * Family Planning * Gym reimbursement * Annual personal development fund * Work headphones reimbursement * Employee Assistance Program (EAP) * Business travel accident insurance * Mental wellness resources     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $192,000—$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

RDQ426R299 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 Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale. The impact you'll have: * Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily. * Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services. * Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs. * Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience. * Improve reliability and cost-efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead. * Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community. What we look for: * BS (or higher) in Computer Science, or a related field. * 7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages. * Deep experience in software development, in large-scale distributed systems. * Experience driving complex projects involving multiple teams and stakeholders. * Familiarity with log collection, health monitoring, and observability tools.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $190,000—$261,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Mongodb

The IT SaaS Engineering Team plays a critical role in enabling MongoDB’s post-sales business processes, including Customer Success, Support, Renewals, Services, and account management workflows. By leveraging Salesforce and related business systems, the team ensures that post-sales teams have the tools, automation, security, and governance needed to effectively manage customer relationships, support customer outcomes, improve operational efficiency, and drive long-term customer growth. With deep expertise in Salesforce development, platform governance, automation, integrations, and system operations, the team continuously enhances the CRM platform to support evolving post-sales business needs. The team partners closely with stakeholders across Customer Success, Technical Services, Revenue Operations, Sales Operations, Billing, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. ROLE OVERVIEW We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions supporting MongoDB’s post-sales business processes. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health. The ideal candidate will have strong experience designing scalable Salesforce solutions for complex customer lifecycle processes, including customer success operations, support workflows, renewals, account management, customer health, and post-sales automation. WHAT YOU’LL DO * Lead the architecture, design, and development of scalable Salesforce solutions supporting post-sales teams, including Customer Success, Support, Renewals, Services, and account management workflows * Translate business requirements into secure, maintainable, and scalable technical solutions aligned with long-term platform strategy * Partner closely with business stakeholders, product teams, and engineering teams to refine requirements and deliver high-quality post-sales solutions * Oversee integrations between Salesforce and other enterprise platforms, ensuring reliable data flow and sound system design across the customer lifecycle * Drive platform optimization across performance, scalability, usability, maintainability, and governance * Establish and enforce engineering standards for coding, testing, documentation, CI/CD, and release management * Troubleshoot complex technical and production issues and drive long-term, scalable resolutions * Maintain technical documentation, including architecture decisions, design specifications, and implementation details * Stay current with Salesforce platform capabilities, releases, and best practices, and proactively recommend improvements * Proactively identify process and technical gaps, and help define and drive tech debt reduction initiatives, platform modernization efforts, and engineering efficiency improvements across the Salesforce ecosystem * Leverage AI-powered engineering tools such as Apex Guru, GitHub Copilot, Salesforce Agentforce/Vibes, Claude Code, and similar capabilities to improve development productivity, code quality, design effectiveness, troubleshooting, and documentation, while applying strong judgment around security, privacy, accuracy, and responsible AI usage RESPONSIBILITIES * Provide technical leadership through architecture reviews, design reviews, code reviews, and engineering best practices * Act as a subject matter expert on Salesforce development, platform capabilities, automation, integrations, and scalable CRM solution design for post-sales business processes * Lead technical design sessions and identify gaps between current-state and future-state solutions * Design and support scalable solutions for customer success, support operations, renewals, customer health, account management, and related post-sales workflows * Evaluate emerging technologies, frameworks, and engineering practices, and drive proof-of-concepts where appropriate * Mentor engineers across the team and foster a culture of ownership, collaboration, continuous learning, and engineering excellence * Support team growth by coaching, developing talent, and helping build a high-performing engineering organization * Influence business and technical stakeholders through strong communication, sound judgment, and effective problem-solving * Operate effectively in a fast-changing environment by managing priorities, driving accountability, and ensuring high-quality execution MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field * 12+ years of experience in Salesforce engineering, application development, or technical leadership within global SaaS organizations * Strong hands-on experience with Apex, Lightning Web Components, Flows, integrations, and Salesforce platform customization * Strong understanding of Salesforce architecture, governor limits, design patterns, and scalable solution design * Experience designing or supporting Salesforce solutions for post-sales functions such as Customer Success, Support, Renewals, Services, or customer lifecycle management * Experience with DevOps, CI/CD, release management, and Agile/Scrum delivery models * Salesforce Platform Developer II certification required; Salesforce Certified Application Architect and Salesforce Certified System Architect certifications strongly preferred SUCCESS MEASURES IN 3 MONTHS, YOU WILL Develop a strong understanding of MongoDB’s Salesforce ecosystem, post-sales business processes, and technical landscape. Build trusted relationships with key stakeholders across Customer Success, Support, Revenue Operations, and Engineering. IN 6 MONTHS, YOU WILL Lead the technical design and successful delivery of critical Salesforce initiatives supporting post-sales workflows. Establish yourself as a trusted technical leader within the Business Systems team. IN 12 MONTHS, YOU WILL Be the go-to technical leader for Salesforce architecture, complex solution design, and platform strategy for post-sales systems. Elevate team quality through strong technical leadership, mentoring, and scalable engineering practices ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 2273476298

Robinhood

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 Brokerage team’s mission is to expand access to financial services by building intuitive, reliable products that support a wide range of investing needs. The team works on new and existing account experiences and financial tools, partnering closely with product, engineering, legal, and operations to deliver solutions that meet customer and regulatory expectations. You’ll join a group that values thoughtful design, clear communication, and measurable outcomes! As a Staff Product Designer, you will lead design for new product experiences from early concept through launch, shaping how customers interact with emerging financial services. You will work closely with senior leadership and partners across the company to define product direction, translate complex requirements into clear user experiences, and deliver high-quality design work. This role involves designing in regulated environments, collaborating with external partners when needed, and taking ownership of design decisions that influence both product strategy and customer outcomes! This role is based in our Menlo Park, CA and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. WHAT YOU’LL DO ● Lead design for new product initiatives, from early exploration through launch, ensuring clear and usable customer experiences ● Translate complex financial, legal, and technical requirements into simple and effective design solutions ● Partner with product managers, engineers, and legal teams to align on requirements and deliver high-quality product experiences ● Influence executive decision-making and product strategy by championing design vision and driving alignment with senior leadership. ● Use design tools and AI-assisted workflows to improve speed, quality, and collaboration across the design process WHAT YOU BRING ● You have significant experience designing consumer-facing digital products with a strong portfolio demonstrating craft and usability ● You have experience leading design work independently on complex projects, ideally in small teams or early-stage environments ● You are comfortable working within regulated domains and collaborating with legal or compliance partners ● You can communicate design decisions clearly and influence stakeholders at multiple levels of the organization ● You are experienced with modern design tools (e.g., Figma) and have incorporated AI tools into your workflow to improve efficiency WHAT WE OFFER ● Challenging, high-impact work to grow your career ● Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching ● Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents ● Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more ● Employer-paid life & disability insurance, fertility benefits, and mental health benefits ● Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! ● Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $191,000—$225,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $168,000—$198,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $150,000—$176,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.