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.

Role Description As AI Innovation Engineer at 829, you'll work across the organization — partnering with VPs, directors, sales leadership, and subject matter experts — to drive operational excellence through AI-native tools and workflows. Your work directly impacts the team's ability to deliver cutting-edge services to clients, building technology with real impact internally and externally. This is not a traditional AI strategy role. You'll write Python, build agentic workflows, ship MCP integrations, and use coding assistants (Claude Code, Cursor, Codex) as daily workflow. We're hiring a builder/coach who ships production AI work and earns adoption from subject matter experts. We are not hiring a strategist who delegates implementation, an AI evangelist without an operating record, or a researcher whose work doesn't practically reach the operating teams that need it. This is a foundational role reporting directly to the President/COO. You'll have autonomy on execution, ownership of 829's AI stack and skill library, and workflow architecture. You must be comfortable being scrappy, resourceful, and hands-on, while also operating cross-functionally to influence the broader organization. What Success Looks Like - 6 Months: - You’ve established a draft playbook around agentic workflow development inclusive of testing, implementation and adoption. - You’ve successfully crafted 3 - 5 workflows that have met adoption criteria. - You are able to quantify the success of 1 - 2 workflows through quantitative and qualitative data. - You have crafted a system to catalogue workflows, skills, and AI tools that enables shorter time-to-value and reduces sprawl. - Your peers, colleagues and 829’s Leadership Team regularly seek your counsel in relation to AI Service Enablement. - 12 Months: - You have a pressure-tested playbook that details the agentic workflow implementation process and ongoing management. - You have established a framework for evaluating the performance of workflows. - You have integrated multiple workflows into a custom frontend in coordination with 829’s Head of Apollo and Engineering Resources. - You have supported the growth of the innovation function as a center of excellence and/or an extension of 829’s Data Platform, Apollo. Responsibilities and Duties - Workflow & Agentic Engineering (60%): - Architect and build proprietary AI agents and automation workflows using company-specific data to drive defensible competitive advantage. - Playbook: - Develop and manage a playbook that includes discovery, pilot, improvement, implementation, adoption and measurement phases to execute work. - Pilots & Proof of Concept: - Lead pilots across multiple disciplines to test approaches and technology, using results to inform production workflows and gain buy-in. - Integrations & Data Pipelines: - Develop and maintain integrations between AI tools and core business systems and advertising platforms, including API builds, validation frameworks, and data pipelines. - SME Collaboration: - Collaborate closely with subject matter experts to ensure solutions and workflows deliver value, enable team members to produce their best work, are usable, and access that appropriate data. - Leadership Collaboration: - Collaborate with senior leaders to ensure that workflows accomplish desired strategic and quality objectives. - Adoption & Enablement: - Ensure that workflows and systems are consistently improved and adopted through systems and cadences that check outputs, measure progress towards goals, and revisit training and adoption mechanisms. - AI Stack Curation / Governance / Documentation (15%): - Own the substrate of 829’s AI Innovation Initiatives. - AI Stack Documentation: - Build and maintain 829's AI stack — tool inventory, vendor strategy, build-vs-buy posture, integration map, and shared-context architecture. - Skill Library: - Develop reusable patterns, agentic workflows, and MCP integrations that provide strategic value and compound across workflows. - Build vs. Buy: - Consult on agency decisions to build workflows and tools vs. buy point solutions to achieve objectives. - General Enablement & Service-Model Translation (25%): - Guide and advise a technically competent team of marketing professionals to achieve shared objectives. - Internal Enablement: - Run lightweight internal training, Office Hours, and troubleshooting clinics to upskill team members on AI-augmented work. - Service-Model Translation: - Advise/consult on revised service-model artifacts: scope-of-work content, pricing implications, policies, and marketing collateral. - Compliance & AI Policy: - Advise and actively contribute to AI policies designed to encourage and enable use, establish SOPs, and mitigate risk to clients, staff, and the business. Qualifications - 5+ years of professional experience with at least 2 years of exposure in the marketing/agency space. - Engineering foundation strong enough to evaluate tools, build agentic workflows, ship MCP integrations, and use coding assistants (Claude Code, Cursor, Codex) as daily workflow. - Working knowledge of security and performance best practices in traditional software and agentic environments. - Hands-on fluency with Python and at least one of TypeScript, SQL, or relevant scripting environments. - Systems thinking: ability to map a business workflow end-to-end and identify where AI creates leverage. - Comfort with ambiguity; you diagnose problems, propose solutions, and move without being told exactly what to build. - Demonstrated track record of shipping production AI work that earned adoption — used, not demoed-and-shelved. - Strong written and verbal communication; can explain technical architecture to a non-technical executive and translate strategic intent into a shipped workflow. - Demonstrated success in influence-without-authority scenarios in which your work has driven outcomes. Requirements - Experience with React/Node and custom front-end applications. - Understanding of common paid, earned and owned media tools and systems. - Familiarity with data-warehouse infrastructure (BigQuery, DBT, DLT & GCP). - Public track record of shipped AI work - open-source contributions, technical writing, or production case studies. Benefits - Remote Workplace: Option to work at our office in Boston or remotely in several states. - Paid Time Off: Generous paid vacation benefits, 12 Company Holidays, and Summer Fridays. - 401K + Match: 401K plan with 4% Safe Harbor employer match after one year of employment. - Life Insurance Benefit: No-cost coverage for your family. - Short Term Disability Benefit: Coverage for illness or injury that keeps you out of work. - Healthcare: Competitive healthcare plans with significant employer coverage. - Commuter Benefits: Pre-tax funds towards your commute. - Continuing Education: Access to webinars, learning platforms, and funding for conferences.