Product Operations Specialist (Technical + LLM)

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 Application Question(s): Do you or will you in the future require any sponsorship to work in the US? Language: English (Required)