• Work with industry-leading technologies like Kafka, Flink, Redis, ElasticSearch and Cassandra and LLMs. • Develop, maintain, and enhance the capabilities of distributed cloud services. • Keeping services up and running in a healthy state. • Work closely with other internal engineering teams to integrate new capabilities into our Falcon platform

Role Description We are currently searching for a SDET: - Drive quality improvements end to end by applying innovative thinking and taking full ownership of the testing lifecycle. - Design and code robust automation frameworks from scratch. - Test agentic AI applications, focusing on workflow accuracy, tool usage, and failure handling. - Mentor team members and contribute to quality engineering best practices across the organization. Qualifications - Strong automation engineering background with hands-on framework design and coding. - Hands-on expertise in Playwright for UI and end-to-end automation. - Proven experience testing APIs, integration flows, and CI/CD quality gates. - Experience testing agentic AI applications, including workflow accuracy, tool usage, and failure handling. - Strong programming skills in Java, Python, or similar languages for automation. - Ownership mindset, innovative thinking, and ability to drive quality improvements end to end. Requirements - Hands-on expertise in Playwright for UI and end-to-end automation. - Proven experience testing APIs, integration flows, and CI/CD quality gates. - Experience testing agentic AI applications, including workflow accuracy, tool usage, and failure handling. - Strong programming skills in Java, Python, or similar languages for automation. - Ownership mindset, innovative thinking, and ability to drive quality improvements end to end. Benefits - Flexibility to support your lifestyle with remote work options.

Role Description We are seeking an experienced Senior Investment Research & Capital Markets Subject Matter Expert to support the development, evaluation, and improvement of advanced Artificial Intelligence (AI) models. This is not a traditional Investment Banking position. Instead, you will apply your real-world expertise to evaluate complex AI-generated financial analyses, validate technical reasoning, identify inaccuracies, and help improve Large Language Models (LLMs) used within the finance industry. We are looking for professionals who are recognized as experts within their field—individuals capable of evaluating financial reasoning with the same rigor expected in investment banking, corporate finance, transaction advisory, and institutional finance environments. Domain Expertise - Equity Research - Fixed Income Research - Credit Research - Investment Research - Asset Management - Portfolio Management - Buy-Side - Sell-Side - Capital Markets Strong candidates typically have practical experience with: - Published research - Managed investment portfolios - Presented to investment committees Key Responsibilities - Evaluate AI-generated financial analyses for technical accuracy, completeness, and quality of reasoning. - Identify factual inaccuracies, unsupported assumptions, logical inconsistencies, and calculation errors. - Review financial models, valuation methodologies, and investment analyses produced by AI. - Create, review, and refine finance-related prompts, benchmark responses, and evaluation datasets. - Apply detailed annotation guidelines consistently while maintaining exceptional quality standards. - Provide structured, actionable feedback that improves AI model performance. - Collaborate with Project Managers, Quality Assurance teams, and AI Researchers to improve evaluation methodologies. - Maintain productivity and quality expectations while working independently in a remote environment. Qualifications - Significant practical experience in Investment Banking, Corporate Finance, or Transaction Advisory. - Strong knowledge of U.S. financial markets and corporate finance principles. - Exceptional analytical and critical thinking skills. - Advanced financial modeling and valuation capabilities. - Excellent written English communication skills. - Ability to independently evaluate complex financial analyses and articulate technical feedback. - Strong attention to detail and commitment to quality. Preferred Qualifications - Professional Certifications - CFA (Completed or Candidate) - CPA - MBA (Finance) - Chartered Accountant (CA) Professional Background - Investment Banking - Big Four Transaction Advisory - Valuation Advisory - Private Equity - Venture Capital - Corporate Development - Strategic Finance Financial Platforms - Bloomberg Terminal - Capital IQ - FactSet - Refinitiv - PitchBook AI Experience - Previous experience with any of the following is highly desirable: - AI Model Evaluation - Reinforcement Learning from Human Feedback (RLHF) - Prompt Engineering - AI Annotation - Large Language Model (LLM) Evaluation - AI Quality Assurance - Benchmark Dataset Development Candidates without prior AI evaluation experience may still be considered if they possess exceptional domain expertise and strong analytical reasoning. U.S. Market Knowledge - SEC Filings - Public Equities - Financial Statements - Valuation Methodologies - Corporate Earnings - Macroeconomic Indicators - Investment Analysis - Capital Markets - Financial Ratios - Portfolio Concepts - Market Trends What Makes a Strong Candidate - Successful candidates are often professionals who have: - Led complex financial analyses or valuation engagements. - Reviewed or approved the work of other finance professionals. - Supported or led high-profile transactions. - Presented recommendations to executive leadership, investment committees, or clients. - Built financial models used in strategic business decisions. - Applied expert judgment to evaluate complex financial scenarios. Trial Gig (Required) As part of the selection process, all shortlisted candidates must successfully complete a Trial Gig designed to evaluate technical finance expertise, analytical reasoning, written communication, attention to detail, and the ability to assess AI-generated financial responses. Please note: - Successful completion of the Trial Gig is required before joining the production project. - Candidates who meet the required quality standards will receive an offer to join the project and will be compensated for successfully completing the Trial Gig. - Candidates who do not meet the required quality standards will not move forward on this project and will not receive compensation for the Trial Gig. - Strong candidates who are not selected may remain in our talent network and be considered for future AI evaluation projects that better align with their expertise.

Title: Research Lead, Audience Insights, News Product Location: New York, NY Job Description: The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Mission Overview & Responsibilities: We are looking for a Research Lead with a passion for ensuring that reader-centric insights are at the heart of product development. This is an individual contributor role. You will lead a variety of end-to-end research projects that drive short and long-term strategy for the News Product. These projects focus on driving deep relationships with our readers and subscribers, helping readers connect to our mission and each other. Your research will inform app experiences, content preferences, commenting, and community. You will be a key cross functional partner with Design, Product, Engineering, Marketing, Data, guiding decision-making and informing the teams' strategies. The mission of the New York Times Audience Insights team is to help The Times grow by understanding our audience. The Audience Insights team is centralized team of researchers working with teams across The New York Times. We use product, human-centered design, innovation, market and UX research, and draw from principles in the social sciences (Psychology, Anthropology, Sociology and Behavioral Economics). This is a hybrid role based in New York City, New York. Responsibilities: - Lead a human-centered design approach for Products teams, inspiring colleagues to build innovative product features grounded in user needs to drive team and company goals. - Test prototypes and run alpha and beta programs with the design and product teams. - Evaluate impact on trust and relationships with our products and brands. - Complement research with behavioral data, proprietary and industry research, and A/B testing results to provide a holistic view of our users. - Collaborate with other researchers in the News Product space to create a comprehensive set of insights about the news reader. - Be a resource and partner to researchers across Marketing, Cooking, Wirecutter, The Athletic and Games to identify opportunities to collaborate and avoid duplicative product work. - Manage external research vendors to support moderation, fieldwork, and analysis, ensuring high-quality and efficient project execution. - Contribute to the collaborative culture of Audience Insights and the News Product Mission; help The New York Times understand, and build empathy for, our audiences. - Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. - You will report to the Managing Director, News Products. Basic Qualifications: - 8+ years of research and insights experience. - Experience conducting research in community spaces or about moderation; or, evaluating user-facing experiences across app and web platforms. - Experience moderating qualitative research and facilitating brainstorms and workshops with cross-functional partners. - Mastery of a range of research methods. These methods include design thinking techniques such as participatory design, in-person and remote interviews, ethnographies, co-creation, and user-initiated feedback tools. Additionally, surveys, card-sorting, and usability studies are also part of this range. - Experience conducting qualitative and quantitative research and selecting the right approach based on the problem to be solved. - Experience summarizing complex findings into compelling narratives and visualize insights for diverse audiences. Preferred Qualifications: - Experience with community spaces or commenting. - Experience working on native apps or working in publishing or the content space. REQ-020310 #LI-Hybrid The annual base pay range for this role is between: $110,000 - $135,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.