Product Ops Specialist - Remote

About the jobMercor 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:RemoteRole ResponsibilitiesSupport 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.QualificationsMust-Have8+ 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.PreferredExperience 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 & LegalW-2 employment through Cincinnatus.Hourly contractor.Paid weekly.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas