[Hiring] Product Operations Specialist @Mercor

Role Description

Support program execution strategy for multiple products and platforms. Kickstart 0 to 1 efforts, accelerate execution, and improve quality/outcomes via programmatic and technical solutions.

• Write and optimize SQL queries to collect, transform, and analyze product data.
• Identify trends, patterns, and insights that inform business decisions.
• Build and maintain dashboards, reports, and visualizations using tools like Google Sheets.
• 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.
• Identify program risks proactively.
• Develop data-backed mitigation plans and communicate updates clearly across cross-functional teams.
• Manage programs to identify opportunities and predict roadblocks through data analysis.
• Strengthen cross-functional relationships and execute plans with technical rigor.

Qualifications

• 8+ years of relevant experience in consulting, strategy, operations, or equivalent program management.
• 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.
• Expert-level proficiency in Google Workspace, especially Google Sheets. Able to create detailed documentation, complex formulas, pivot tables, and automated workflows.
• Strong multi-tasking abilities. Experience managing multiple workstreams simultaneously.
• Self-starter mentality. Able to work independently and drive projects forward without close supervision.
• Eager to learn new tools, technologies, and domains quickly. Adapts to changing technical requirements.
• Effective critical thinking. Experience leveraging data to anticipate and unblock problems.
• Proven time-management and organizational skills.
• Data annotation/labeling skills and LLM training experience.

Requirements

• 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 using tools like Tableau or Looker.
• 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 for products and features.

Compensation & Legal

• W-2 employment through Cincinnatus.
• Hourly contractor.
• Paid weekly.

Application Process

• Upload resume.
• AI interview based on your resume.
• Submit form.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• For any help or support, reach out to: [email protected] .