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
o-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:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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