Requirements Engineer jobs at Stripe - 147 jobs

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world's most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit ************ At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We're scaling fast - and we're just getting started. At Gong, we're building a world-class R&D hub in the U.S. to fuel our next wave of innovation. This is your chance to join a critical team from the ground up and help shape products that lead the future of revenue intelligence. We're building the future of revenue intelligence - and our backend engineers are at the heart of it. As a Backend Engineer at Gong, you'll tackle meaningful technical challenges, design systems at scale, and help shape products that transform how companies understand their customers. We're looking for an experienced Java engineer who's excited to build high-performance systems, solve complex problems, and deliver features that make a real impact. RESPONSIBILITIES Design and build backend services and APIs using Java, with a focus on scalability, reliability, and performance Own technical projects from start to finish - architecture, development, deployment, and ongoing improvements Collaborate with Product Managers, UX Designers, and Frontend Engineers to deliver features that solve real customer problems Dive into technical challenges, identify root causes, and develop practical solutions Play an active role in shaping Gong's backend architecture as we scale QUALIFICATIONS 5+ years of backend development experience, with deep expertise in Java Proven ability to solve complex problems, debug efficiently, and build high-quality systems Experience designing and running cloud-based services (AWS, GCP, or Azure), including microservices architectures Bonus points for experience with infrastructure as code, CI/CD pipelines, or data-driven APIs Strong communication skills and a collaborative approach - you enjoy working across teams A degree in Computer Science, Engineering, or related field (or equivalent practical experience) PERKS & BENEFITS We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $152,000 - $185,000 USD. Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from ************ domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit ********************************************************** for more details. #LI-DD1

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir's product that enables autonomous management and continuous deployment of mission critical software, wherever it is. We're transforming the way organizations around the world deploy software, taking SAAS where SAAS has not gone before: from on-premise, to various cloud providers, to disconnected environments (air-gapped), to strict accreditation frameworks, and to the edge. As a Front End Engineer on the Apollo platform you will be responsible for the experience of thousands of users, architecting workflows and interfaces that make sophisticated deployment and monitoring tasks simple. You might spend one day interviewing users to understand their complex workflows and the next brainstorming mockups with Product Designers. Another day, you could tackle building out a workflow, partnering with backend engineers to wire up your code with the APIs, or even building out APIs yourself! We're hiring engineers who are passionate about the whole product development lifecycle - not just fixing bugs or maintaining legacy code - from idea generation, user interviews, planning, design, prototyping, execution, shipping, and iteration. Learn more about Apollo and why it was built!Core Responsibilities Work closely with forward deployed, platform, and customer engineers to understand user workflows, product gaps and identify both short and long-term product capabilities Work with Product Designers to develop the overall look and design of our web application Develop and evolve core libraries and components used to render user interfaces Collaborate with Backend Engineers to define APIs that support frontend functionality Routinely test and debug web applications, manually and through automation, to maintain high quality and performance Champion a long-term tech roadmap to build high-quality app interactions, polished & reusable UX, reduce operational burden, ensure scalability, reduce risk, and strive for step-changes whenever possible Technologies We Use Core Palantir products provide the foundations for our deployments TypeScript and React are central to our front-end development GraphQL is used for data transport Blueprint as a re-useable frontend component library A combination of open-source and internal technologies that suit the problems at hand Industry-standard build tooling, including Gradle, Webpack, GitHub, and CircleCI What We Value Product-centric individuals who have a high sense of ownership and ability to own projects end-to-end Belief in the importance of UI/UX in productionizing infrastructure management systems Clear and concise verbal and written communications Demonstrated ability to work in a fast-paced product development team, with peers and teammates across multiple locations and timezones High engineering standards and a desire to improve both new and existing systems Willingness and enthusiasm to do what it takes to get things done, leading by example and deeply engaging with the team's day-to-day work A focus on impact and an ability to articulate the value your work provides Familiarity with GraphQL and API schema design What We Require 2+ years of front end software engineering experience. Regardless of which frameworks you use or how you learned them, we're looking for people who can write clean, effective code. Proven track record of building impactful user interfaces, understanding how technical decisions impact users. Proficiency with web technologies and front end programming languages such as JavaScript, TypeScript, or similar languages. Proficiency with web technology languages such as React, JavaScript, TypeScript, or equivalent. Demonstrated ability to learn continuously, work independently, and make decisions with minimal supervision in a rapidly changing environment with dynamic objectives and iteration cycles. Salary The estimated salary range for this position is estimated to be $145,000- $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Relocation assistance• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help. If you would like to understand more about how your personal data will be processed by Palantir, please see our .

Content Engineering is a horizontal function in the Meta Superintelligence Labs (MSL) that shapes AI product experiences through content strategy, prompt engineering, and creative execution. Sitting at the intersection of creative content and directing large-language model behavior, content engineers partner closely with technical, product, and design teams to build and ship products from lab to production, across different modalities and mediums. They serve as a point of contact for internal stakeholders working across AI on priority product initiatives, and aim to build experiences that entertain, inform and delight.MSL is seeking an experienced content engineer-or a candidate with adjacent experience-to join the team to lead editorial direction and operational evidence of success.If you're innately curious about the creative potential of generative artificial intelligence, fascinated by new developments in research and product development, take pride in identifying efficiencies in process and operations and motivated by ambiguity, we encourage you to apply. **Required Skills:** Content Engineer Responsibilities: 1. Develop and execute program plans to deliver high-quality AI-powered content products, ensuring timely delivery 2. Develop processes to build guidelines and measurement frameworks that set quality standards for products and features 3. Manage and prioritize multiple projects simultaneously, ensuring alignment with business objectives and stakeholder expectations 4. Lead through influence and collaboration within GenAI Content Engineering team and relevant stakeholders 5. Identify processes and opportunities to influence through scale **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree or equivalent experience with 10+ years of experience with digital content strategy, creative content, technical documentation, journalism, production and relevant skills 7. Previous experience collaborating with product and technical teams 8. Proficiency in editing 9. Demonstrated critical thinking skills and evidenced track record of editorial judgment around nuanced topics 10. Experience leading and collaborating on cross-functional projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion 11. Experience building products related to broad communities and niche topics 12. Experience driving the development of high-quality content and managing complex, fast-moving projects 13. Experience including blend of technical, creative and project management skills, combined with outstanding communication and leadership experience 14. Previous experience with GenAI, particularly model evaluation, proven editorial judgment and experience with strategic planning, resource allocation and vendor management **Preferred Qualifications:** Preferred Qualifications: 15. Experience working with product teams or programs (or other equivalent fields) from roadmapping through delivery 16. Experience working in Generative AI and prompt engineering, annotation, and evals 17. Familiarity with Associated Press Style Authoring **Public Compensation:** $193,000/year to $269,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build datasets, pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the quality of models and product experiences and close the feedback loop 4. Clearly communicate with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Solve complex problems and embrace ambiguity to drive innovative and impactful solutions 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. Experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience **Preferred Qualifications:** Preferred Qualifications: 16. 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 17. Practical knowledge of the relationship between data and machine learning models 18. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on 19. Experience designing and conducting data experiments 20. Experience with version control, unit tests, and other programming best practices 21. Fluency in additional languages 22. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields **Public Compensation:** $138,000/year to $189,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer in this role, you will use your linguistic analysis and natural language processing (NLP) expertise to identify, assess, and mitigate risks related to language-based vulnerabilities, adversarial content, and safety threats in Meta's products. You will help deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, and LLMs. The Linguistic Engineer delivers datasets, and designs and produces evaluation metrics across languages and areas that power the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications, with a focus on red-teaming and safety. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. Minimum Qualifications * Experience as data scientist, software engineer, computational linguist or in similar role * Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack * Experience with text analysis, scripting, relational database, No SQL databases or similar * Experience shipping multiple products across various platforms * Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience * Willingness to develop, create and evaluate adversarial and potentially offensive content * Experience with data tools, pipelines, and analytics is needed for this role Preferred Qualifications * Experience collaborating with cross-functional teams to design and execute redteaming exercises, develop robust safety protocols, and enhance detection systems for harmful or manipulative language * 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies * Practical knowledge of the relationship between data and machine learning models * Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on * Experience designing and conducting data experiments * Experience with version control, unit tests, and other programming best practices * Professional working experience with additional languages * Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields * Experience being multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development Responsibilities * Build adversarial datasets, data pipelines, and models for ML applications * Directly support product development with rules, prompts, and data patches * Evaluate the safety and quality of models and product experiences and close the feedback loop * Work with project stakeholders * Identify best practices and improve procedures across data systems * Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support * Design and conduct product experiments * Solve complex problems and embrace ambiguity to drive innovative and impactful solutions * Manage and prioritize multiple work streams * Collaborate seamlessly with cross-functional teams About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role. Minimum Qualifications * Experience as data scientist, software engineer, computational linguist or in similar role * Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack * Experience with text analysis, scripting, relational database, No SQL databases or similar * Experience shipping multiple products across various platforms * Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience Preferred Qualifications * 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies * Practical knowledge of the relationship between data and machine learning models * Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on * Experience designing and conducting data experiments * Experience with version control, unit tests, and other programming best practices * Fluency in additional languages * Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields Responsibilities * Build datasets, pipelines, and models for ML applications * Directly support product development with rules, prompts, and data patches * Evaluate the quality of models and product experiences and close the feedback loop * Clearly communicate with project stakeholders * Identify best practices and improve procedures across data systems * Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support * Design and conduct product experiments * Solve complex problems and embrace ambiguity to drive innovative and impactful solutions * Manage and prioritize multiple work streams * Collaborate seamlessly with cross-functional teams About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Content Engineering is a horizontal function in the Meta Superintelligence Labs (MSL) that shapes AI product experiences through content strategy, prompt engineering, and creative execution. Sitting at the intersection of creative content and directing large-language model behavior, content engineers partner closely with technical, product, and design teams to build and ship products from lab to production, across different modalities and mediums. They serve as a point of contact for internal stakeholders working across AI on priority product initiatives, and aim to build experiences that entertain, inform and delight. MSL is seeking an experienced content engineer-or a candidate with adjacent experience-to join the team to lead editorial direction and operational evidence of success. If you're innately curious about the creative potential of generative artificial intelligence, fascinated by new developments in research and product development, take pride in identifying efficiencies in process and operations and motivated by ambiguity, we encourage you to apply. Minimum Qualifications * Bachelor's degree or equivalent experience with 10+ years of experience with digital content strategy, creative content, technical documentation, journalism, production and relevant skills * Previous experience collaborating with product and technical teams * Proficiency in editing * Demonstrated critical thinking skills and evidenced track record of editorial judgment around nuanced topics * Experience leading and collaborating on cross-functional projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion * Experience building products related to broad communities and niche topics * Experience driving the development of high-quality content and managing complex, fast-moving projects * Experience including blend of technical, creative and project management skills, combined with outstanding communication and leadership experience * Previous experience with GenAI, particularly model evaluation, proven editorial judgment and experience with strategic planning, resource allocation and vendor management Preferred Qualifications * Experience working with product teams or programs (or other equivalent fields) from roadmapping through delivery * Experience working in Generative AI and prompt engineering, annotation, and evals * Familiarity with Associated Press Style Authoring Responsibilities * Develop and execute program plans to deliver high-quality AI-powered content products, ensuring timely delivery * Develop processes to build guidelines and measurement frameworks that set quality standards for products and features * Manage and prioritize multiple projects simultaneously, ensuring alignment with business objectives and stakeholder expectations * Lead through influence and collaboration within GenAI Content Engineering team and relevant stakeholders * Identify processes and opportunities to influence through scale About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer in this role, you will use your linguistic analysis and natural language processing (NLP) expertise to identify, assess, and mitigate risks related to language-based vulnerabilities, adversarial content, and safety threats in Meta's products. You will help deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, and LLMs. The Linguistic Engineer delivers datasets, and designs and produces evaluation metrics across languages and areas that power the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications, with a focus on red-teaming and safety. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build adversarial datasets, data pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the safety and quality of models and product experiences and close the feedback loop 4. Work with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Solve complex problems and embrace ambiguity to drive innovative and impactful solutions 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. Experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience 16. Willingness to develop, create and evaluate adversarial and potentially offensive content 17. Experience with data tools, pipelines, and analytics is needed for this role **Preferred Qualifications:** Preferred Qualifications: 18. Experience collaborating with cross-functional teams to design and execute redteaming exercises, develop robust safety protocols, and enhance detection systems for harmful or manipulative language 19. 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 20. Practical knowledge of the relationship between data and machine learning models 21. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on 22. Experience designing and conducting data experiments 23. Experience with version control, unit tests, and other programming best practices 24. Professional working experience with additional languages 25. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields 26. Experience being multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development **Public Compensation:** $107,000/year to $162,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $177,000/year to $247,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) Preferred Qualifications * Master's or Ph.D degree in a STEM field Responsibilities * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems * Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve * Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way * Define and manage Service Level Agreements for all data sets in allocated areas of ownership * Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership * Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains * Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources * Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts * Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts * Influence product and cross-functional teams to identify data opportunities to drive impact * Mentor team members by giving/receiving actionable feedback About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Are you passionate about Facebook's product, analytics and technology? The Analytics, Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll have the opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match. Minimum Qualifications * Programming knowledge in Python or Java * Knowledge of SQL * Knowledge of database systems * Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Preferred Qualifications * Experience thriving in a fast-paced work environment * Curious, self-driven, analytical and excited to play with data * Experience in collaborating with individuals and organizations Responsibilities * Architect, implement and deploy new data models and data processes in production * Perform data analysis to generate business insights * Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs * Build data expertise and own data quality for allocated areas of ownership * Manage data warehouse plans for a product or a group of products * Support critical data processes running in production About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Come join the Trust & Safety Data Engineering Team in New York as a Staff Data Engineer (Staff Software Engineer role). We are leveraging big data technologies to develop solutions to detect and combat fraudulent activities initiated by external users across all Intuit's products. Some of the technologies we are leveraging include Apache Spark, Athena, Redshift, Kafka, Hive, S3, EMR, AWS, and GCP. We foster an open team environment where we value direct interactions and working code above working in a cave. You will lead the entire product lifecycle for multiple big data solutions that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. Work with Industry Experts; Senior, Staff and Principal Engineers, utilize specialized knowledge to develop, and maintain Intuit's data solutions. Responsibilities RESPONSIBILITIES * Own the tech vision and strategy for multiple domains or capabilities * Drive Strategic Impact. Focus on the direct and strategic application of data to deliver measurable business outcomes, even if it means working with imperfect data to capture significant value. * Hands-on development in all phases of the software life cycle. * Build batch and real-time/streaming data pipelines that are able to handle large volumes of data * Design data models * Gather data needs from internal customers like product and analysts and translate those requirements into a working big data solution design. * Partner with product managers, fraud analysts, data scientists, data architects, software engineers, and other data engineers from around the world. * Participate in design and code reviews * Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark. * Rapidly fix bugs and solve problems; effectively remediate defects * Clean, transform and validate data for use in analytics and reporting * Proactively monitor data quality and pipeline performance, troubleshoot and resolve data issues * Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. * Helps to align to overall strategies and reconcile competing priorities across the organization. * Contribute to the design and architecture of projects across the data landscape. * Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology * Participate in a scheduled on-call rotation to handle production incidents outside of business hours * Mentor other team members and contribute to the growth of the team * Be available to work in a hybrid mode (3 days in the office and 2 days remote per week) Qualifications * 8+ years of hand-on experience building big data solutions and ETL data pipelines using Apache Spark or similar technologies * BS or MS in Computer Science, Data Engineering or related field * Hands-on experience developing data solutions on the AWS platform (preferred), GCP, or Azure * Experience with Agile Development, SCRUM, and/or Extreme Programming methodologies * Expert in SQL, Python and Linux, and strong working knowledge of XML, JSON, YAML. * Knowledgeable with tools and frameworks Docker, Spark, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker * Advanced experience with scripting language - Python or Shell is a must have * Expert knowledge of software development methodologies and practices * Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, EMR, and Redshift or equivalent cloud computing approaches * Strong expertise in Data Warehousing and analytic architecture * Experience working with large data volumes, data visualization * Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Redshift) is a plus * Experience with building stream-processing applications using Spark Streaming, Flink, etc. is a plus * Hands on experience in AI * Solid communication skills * Demonstrated expertise in Software design and architecture process. * Experience with unit testing and data quality automation checks * Should be results oriented, self-motivated, accountable and work under minimal supervision. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 197,000- 266,500

Come join the Trust & Safety Data Engineering Team in New York as a Staff Data Engineer (Staff Software Engineer role). We are leveraging big data technologies to develop solutions to detect and combat fraudulent activities initiated by external users across all Intuit's products. Some of the technologies we are leveraging include Apache Spark, Athena, Redshift, Kafka, Hive, S3, EMR, AWS, and GCP. We foster an open team environment where we value direct interactions and working code above working in a cave. You will lead the entire product lifecycle for multiple big data solutions that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. Work with Industry Experts; Senior, Staff and Principal Engineers, utilize specialized knowledge to develop, and maintain Intuit's data solutions. **Responsibilities** RESPONSIBILITIES + Own the tech vision and strategy for multiple domains or capabilities + Drive Strategic Impact. Focus on the direct and strategic application of data to deliver measurable business outcomes, even if it means working with imperfect data to capture significant value. + Hands-on development in all phases of the software life cycle. + Build batch and real-time/streaming data pipelines that are able to handle large volumes of data + Design data models + Gather data needs from internal customers like product and analysts and translate those requirements into a working big data solution design. + Partner with product managers, fraud analysts, data scientists, data architects, software engineers, and other data engineers from around the world. + Participate in design and code reviews + Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark. + Rapidly fix bugs and solve problems; effectively remediate defects + Clean, transform and validate data for use in analytics and reporting + Proactively monitor data quality and pipeline performance, troubleshoot and resolve data issues + Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. + Helps to align to overall strategies and reconcile competing priorities across the organization. + Contribute to the design and architecture of projects across the data landscape. + Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology + Participate in a scheduled on-call rotation to handle production incidents outside of business hours + Mentor other team members and contribute to the growth of the team + Be available to work in a hybrid mode (3 days in the office and 2 days remote per week) **Qualifications** + 8+ years of hand-on experience building big data solutions and ETL data pipelines using Apache Spark or similar technologies + BS or MS in Computer Science, Data Engineering or related field + Hands-on experience developing data solutions on the AWS platform (preferred), GCP, or Azure + Experience with Agile Development, SCRUM, and/or Extreme Programming methodologies + Expert in SQL, Python and Linux, and strong working knowledge of XML, JSON, YAML. + Knowledgeable with tools and frameworks Docker, Spark, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker + Advanced experience with scripting language - Python or Shell is a must have + Expert knowledge of software development methodologies and practices + Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, EMR, and Redshift or equivalent cloud computing approaches + Strong expertise in Data Warehousing and analytic architecture + Experience working with large data volumes, data visualization + Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Redshift) is a plus + Experience with building stream-processing applications using Spark Streaming, Flink, etc. is a plus + Hands on experience in AI + Solid communication skills + Demonstrated expertise in Software design and architecture process. + Experience with unit testing and data quality automation checks + Should be results oriented, self-motivated, accountable and work under minimal supervision. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 197,000- 266,500 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Are you passionate about Facebook's product, analytics and technology? The Analytics, Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll have the opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match. **Required Skills:** Data Engineer, Analytics (University Grad) Responsibilities: 1. Architect, implement and deploy new data models and data processes in production 2. Perform data analysis to generate business insights 3. Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs 4. Build data expertise and own data quality for allocated areas of ownership 5. Manage data warehouse plans for a product or a group of products 6. Support critical data processes running in production **Minimum Qualifications:** Minimum Qualifications: 7. Programming knowledge in Python or Java 8. Knowledge of SQL 9. Knowledge of database systems 10. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment 11. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta **Preferred Qualifications:** Preferred Qualifications: 12. Experience thriving in a fast-paced work environment 13. Curious, self-driven, analytical and excited to play with data 14. Experience in collaborating with individuals and organizations **Public Compensation:** $47.60/hour to $139,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir's product that enables autonomous management and continuous deployment of mission critical software, wherever it is. We're transforming the way organizations around the world deploy software, taking SAAS where SAAS has not gone before: from on-premise, to various cloud providers, to disconnected environments (air-gapped), to strict accreditation frameworks, and to the edge. As a Front End Engineer on the Apollo platform you will be responsible for the experience of thousands of users, architecting workflows and interfaces that make sophisticated deployment and monitoring tasks simple. You might spend one day interviewing users to understand their complex workflows and the next brainstorming mockups with Product Designers. Another day, you could tackle building out a workflow, partnering with backend engineers to wire up your code with the APIs, or even building out APIs yourself! We're hiring engineers who are passionate about the whole product development lifecycle - not just fixing bugs or maintaining legacy code - from idea generation, user interviews, planning, design, prototyping, execution, shipping, and iteration. Learn more about Apollo and why it was built!Core Responsibilities Work closely with forward deployed, platform, and customer engineers to understand user workflows, product gaps and identify both short and long-term product capabilities Work with Product Designers to develop the overall look and design of our web application Develop and evolve core libraries and components used to render user interfaces Collaborate with Backend Engineers to define APIs that support frontend functionality Routinely test and debug web applications, manually and through automation, to maintain high quality and performance Champion a long-term tech roadmap to build high-quality app interactions, polished & reusable UX, reduce operational burden, ensure scalability, reduce risk, and strive for step-changes whenever possible Technologies We Use Core Palantir products provide the foundations for our deployments TypeScript and React are central to our front-end development GraphQL is used for data transport Blueprint as a re-useable frontend component library A combination of open-source and internal technologies that suit the problems at hand Industry-standard build tooling, including Gradle, Webpack, GitHub, and CircleCI What We Value Product-centric individuals who have a high sense of ownership and ability to own projects end-to-end Belief in the importance of UI/UX in productionizing infrastructure management systems Clear and concise verbal and written communications Demonstrated ability to work in a fast-paced product development team, with peers and teammates across multiple locations and timezones High engineering standards and a desire to improve both new and existing systems Willingness and enthusiasm to do what it takes to get things done, leading by example and deeply engaging with the team's day-to-day work A focus on impact and an ability to articulate the value your work provides Familiarity with GraphQL and API schema design What We Require 2+ years of front end software engineering experience. Regardless of which frameworks you use or how you learned them, we're looking for people who can write clean, effective code. Proven track record of building impactful user interfaces, understanding how technical decisions impact users. Proficiency with web technologies and front end programming languages such as JavaScript, TypeScript, or similar languages. Proficiency with web technology languages such as React, JavaScript, TypeScript, or equivalent. Demonstrated ability to learn continuously, work independently, and make decisions with minimal supervision in a rapidly changing environment with dynamic objectives and iteration cycles. Salary The estimated salary range for this position is estimated to be $145,000- $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Relocation assistance• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help. If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.

... Responsibilities ... Qualifications ... Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 197,000- 266,500

... **Responsibilities** ... **Qualifications** ... Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 197,000- 266,500 EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Who we are About Privy Our mission is to make privacy and user ownership the default online. We build simple, flexible developer tooling that make it easy to build products that put users first. By leveraging modern cryptography, we shift the status quo around digital ownership and protect the accounts and assets of millions of users. Engineering at Privy is not just about writing world-class code. We create software that turns complex technical systems into delightful developer tools. We assemble tried-and-true primitives into intuitive, responsive APIs and beautiful interfaces. We believe in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you'll do As a fullstack engineer at Privy, you will take on large areas of ownership in Privy's product, architecture, and infrastructure. Because we build a developer tool, engineering and product are inextricably connected. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. * Design intuitive interfaces to break down complex systems and turn them into delightful developer tooling * Build and integrate systems end-to-end across client-side and server-side APIs to enable a seamless developer experience * Design and implement end-to-end product features driven by user needs * Advocate for usability and interface coherence across our teams and products * Enforce web development best practices across our entire product collaborating with other core stakeholders Minimum requirements * 8+ years of experience. * Deep knowledge of React, Typescript, Next.js * Experience building and maintaining a production system at scale * Prior experience working closely with a designer to iterate on a product * An understanding of modern web development best practices * Experience writing delightful developer documentation Preferred qualifications * Strong preference for experience in an API-based business and in payments, fintech, or crypto. * Written open-source developer tooling * Published about your work (code, presentations, papers, blog posts, etc.) * Past experience working closely with Design teams in authentication, security, or in web3 In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual US base salary range for this role is $224,000 - $336,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.