Sr Product Ops Manager | Up to $80/hr
• *About The Job**
• *Mercor**
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
• *Benchmark**
,
• *General Catalyst**
,
• *Peter Thiel**
,
• *Adam D'Angelo**
,
• *Larry Summers**
, and
• *Jack Dorsey**
.
• *Position:**
Product Operations Specialist (Technical + LLM)
• *Type:**
• *Contract**
• *Compensation:**
• *$60–$80/hour**
• *Location:**
• *Remote**
• *Role Responsibilities**
• 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**
• *Must-Have**
• 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.
• *Preferred**
• 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 (Takes 20–30 mins to complete)**
• Upload resume
• AI interview based on your resume
• Submit form
• *Resources & Support**
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
• *Mercor**
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
• *Benchmark**
,
• *General Catalyst**
,
• *Peter Thiel**
,
• *Adam D'Angelo**
,
• *Larry Summers**
, and
• *Jack Dorsey**
.
• *Position:**
Product Operations Specialist (Technical + LLM)
• *Type:**
• *Contract**
• *Compensation:**
• *$60–$80/hour**
• *Location:**
• *Remote**
• *Role Responsibilities**
• 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**
• *Must-Have**
• 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.
• *Preferred**
• 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 (Takes 20–30 mins to complete)**
• Upload resume
• AI interview based on your resume
• Submit form
• *Resources & Support**
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*