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Our ground presence spans more than 60 cities around the world. Careers Featured Offices At Goldman Sachs, we understand that you can't be global without being local. Our ground presence spans more than 60 cities around the world. Americas United States Dallas Our Dallas office is our second largest in the US and is located in the Dallas Arts District downtown, the largest arts district in the nation. Recently renovated, the office features flexible workspaces to foster collaboration and a wellness exchange to support our peoples' health and well-being. View Open Positions United States New Jersey/New York In New York, great things can be found in unexpected places - just take a peek outside our global headquarters at 200 West Street. We're in Battery Park City, which is filled with quintessentially New York City offerings. 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While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Data Quality Engineer within Prolific AI Data Services, you will be the quality guardian for our managed service studies. You will design and operationalise the measurement systems, automation, and launch gates that ensure the data we deliver is trustworthy, authentic, and scalable. This role sits at the intersection of data quality, automation, and integrity. You'll work closely with Product, Engineering, Operations, and Client teams to embed quality and authenticity into study design and execution-enabling faster launches without compromising trust as task types and volumes evolve. 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While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Data Quality Engineer within Prolific AI Data Services, you will be the quality guardian for our managed service studies. You will design and operationalise the measurement systems, automation, and launch gates that ensure the data we deliver is trustworthy, authentic, and scalable. This role sits at the intersection of data quality, automation, and integrity. You'll work closely with Product, Engineering, Operations, and Client teams to embed quality and authenticity into study design and execution-enabling faster launches without compromising trust as task types and volumes evolve. 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While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Data Quality Engineer within Prolific AI Data Services, you will be the quality guardian for our managed service studies. You will design and operationalise the measurement systems, automation, and launch gates that ensure the data we deliver is trustworthy, authentic, and scalable. This role sits at the intersection of data quality, automation, and integrity. You'll work closely with Product, Engineering, Operations, and Client teams to embed quality and authenticity into study design and execution-enabling faster launches without compromising trust as task types and volumes evolve. 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We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you. A path to a better career. A better future. Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we're named one of the World's Most Admired Companies. They're the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together. Are you ready for a better career? A better future? Job Description The position, which reports to the Functional Safety Supervisor, main objectives are: • Supervise and support technical topics for safety related for both running projects and RFI/RFQs (Request For Initiation/Quotation)(Mainly systems). • Ensure safety technical compliance and safety package for both running projects and RFI/RFQ. 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"greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "General Interest (Senior Leadership) San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. 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Orange County, CA U.S. (Remote) Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. 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