Senior Technical Product Operations Specialist

Job Description

REQUIREMENTS

• 8+ years of relevant experience in consulting, strategy, operations, or equivalent program management experience with particular focus on technical product operations
• Proficient in SQL, able to write advanced queries including CTEs, window functions, joins, aggregations, and data transformations
• Experience with AI agents and AI-assisted workflows, comfortable prompting and iterating with AI tools to accelerate work
• Expert-level proficiency in Google Workspace, especially Google Sheets, able to create detailed, step-by-step documentation, complex formulas, pivot tables, and automated workflows
• Strong multi-tasking abilities with demonstrated experience managing multiple workstreams simultaneously
• Self-starter mentality, able to work independently, take initiative, and drive projects forward without close supervision
• Eager to learn new tools, technologies, and domains quickly; adapts to changing technical requirements
• Effective critical thinking and experience leveraging data to anticipate and unblock problems and drive solutions
• Proven time-management and organizational skills
• Data annotation/labeling skills and LLM training experience among product quality teams

Preferred Qualifications:

• Experience with VS Code or similar development environments
• Experience with low-code/no-code prototyping or AI-assisted code generation
• Experience building dashboards and data visualizations (e.g., internal dashboard tools, Tableau, Looker, or similar)
• Familiarity with data pipelines, ETL processes, or data infrastructure concepts
• Experience working with engineering teams on technical specifications and requirements
• Background in quality assurance, triage operations, or ML/AI validation workflows
• Experience with testing, developing, and implementing test strategies (manual and automated) for products and features

RESPONSIBILITIES

• Support program execution strategy for multiple products and platforms, including kickstarting 0 to 1 efforts, accelerating execution, and improving quality/outcomes for product objectives via programmatic and technical solutions
• Write and optimize SQL queries to collect, transform, and analyze product data from various sources, identifying trends, patterns, and insights that inform business decisions
• Build and maintain dashboards, reports, and visualizations (e.g., internal dashboard tools, Google Sheets) to effectively communicate findings to stakeholders and support real-time decision-making
• Leverage AI agents and tools to accelerate data analysis, automate repetitive tasks, and prototype solutions
• Proactively identify program risks, develop data-backed mitigation plans, and communicate rationale and updates clearly across cross-functional teams
• General program management to identify opportunities and predict roadblocks through data analysis, strengthen cross-functional relationships, and execute on plans with technical rigor
• Labeling and large language model (LLM) training across all organizations

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