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Product Operations Specialist (Technical + LLM) at Linda Werner & Associates. . Location: United States.  . . . About the Role. . The Product & Regulatory Operations organization plays a critical role in supporting user and business safety across platforms. This team partners closely with product, engineering, legal, and cross-functional stakeholders to deliver operational excellence for emerging and high-priority initiatives.. . As a Technical Product Operations Specialist, you will drive product quality, growth, and operational efficiency through data-driven decision-making, technical tooling, and AI-enabled workflows. This role requires a high degree of autonomy, along with strong technical acumen and product sense to independently execute and scale solutions.. . Key Responsibilities. . . Drive execution strategy across multiple products and platforms, including launching 0→1 initiatives, accelerating delivery, and improving quality through technical and programmatic solutions. . Write and optimize advanced SQL queries to collect, transform, and analyze product data; identify trends and actionable insights. . Build and maintain dashboards, reports, and visualizations (e.g., Google Sheets or similar tools) to support stakeholder decision-making. . Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions. . Identify program risks proactively and develop data-backed mitigation strategies; communicate effectively across cross-functional teams. . Own end-to-end program management, including planning, execution, risk identification, and cross-team coordination. . Strengthen cross-functional partnerships and proactively remove blockers to drive execution. . Support data annotation, labeling, and LLM training initiatives to improve product quality. . . Minimum Qualifications. . . 8+ years of experience in consulting, strategy, operations, or technical program management, with a focus on product operations. . Strong proficiency in SQL, including advanced queries (CTEs, joins, aggregations, window functions, transformations). . Experience working with AI agents and AI-assisted workflows, including prompt iteration and automation use cases. . Advanced proficiency in Google Workspace (especially Sheets), including complex formulas, documentation, and workflow automation. . Experience managing multiple workstreams simultaneously with strong prioritization skills. . Self-starter with the ability to work independently and drive projects with minimal oversight. . Strong analytical and critical thinking skills with a data-driven approach to problem solving. . Proven organizational and time-management capabilities. . Experience with data annotation/labeling and LLM training workflows. . . Preferred Qualifications. . . Experience with development tools such as VS Code or similar environments. . Experience with low-code/no-code prototyping or AI-assisted development. . Experience building dashboards using tools such as Tableau, Looker, or similar platforms. . Familiarity with data pipelines, ETL processes, and data infrastructure concepts. . Experience collaborating with engineering teams on technical requirements and specifications. . Background in quality assurance, triage operations, or ML/AI validation workflows. . Experience developing and executing testing strategies (manual and automated) for products and features. . . Team & Role Context. . . Supports multiple cross-functional teams and products, providing technical operations support across diverse initiatives. . Requires a balance of technical execution and program management skills. . Ideal candidates thrive in fast-paced environments and can manage projects from initiation through delivery. . . Must-Have Skills. . . Deep experience in technical product operations or program management. . Strong SQL and data analysis capabilities. . Experience with AI tools and LLM-related workflows, including data annotation and model training support. . . Nice-to-Have Skills. . . Experience with low-code/no-code or AI-assisted development. . Understanding of data infrastructure and pipelines. . Experience with product testing and validation frameworks. . . Location: Remote. . Role type: Contract 6 Month Position. . Expected hours: 40 per week. . Benefits:. . . Dental insurance. . Health insurance. . Health savings account. . Life insurance. . Paid time off. . Retirement plan. . Vision insurance. . . Schedule:. . . 8 hour shift. . Monday to Friday. . . Language:. . . English (Required). . . .