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 01 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)