Technical Product Operations Specialist
New
I
itDProduct operations
Remote – United States (EST time zone only). Candidates may also be considered for a hybrid arrangement in New York City., EST time zone onlyContractSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of relevant experience
- Required Skills
- SQLETLTableauGoogle SheetsGoogle WorkspaceLooker
Requirements
- Have 8+ years of relevant experience in consulting, strategy, operations, or program management, focused on technical product operations.
- Demonstrate advanced SQL proficiency, including Common Table Expressions (CTEs), window functions, joins, aggregations, and data transformations.
- Have hands-on experience with AI agents and AI-assisted workflows.
- Have expert-level Google Workspace proficiency, particularly Google Sheets, including complex formulas, pivot tables, automated workflows, and documentation.
- Demonstrate experience independently managing multiple projects or workstreams simultaneously.
- Have strong analytical and critical-thinking skills to identify problems, anticipate risks, and develop practical solutions.
- Be able to manage priorities and deliver results in a fast-paced, evolving environment.
- Be able to work independently, show initiative, and drive projects forward with minimal supervision.
- Be able to quickly learn and adapt to tools, technologies, and technical requirements.
- Have a bachelor’s degree in a relevant field or equivalent work experience.
- Preferred: experience with AI-assisted development, low-code/no-code prototyping, or AI-assisted code generation.
- Preferred: experience building dashboards with Tableau, Looker, or similar tools, and familiarity with data pipelines and ETL.
- Preferred: experience with product testing, quality assurance, triage operations, or AI validation workflows.
Responsibilities
- Drive program execution across multiple products and platforms by launching initiatives, accelerating delivery, and improving product outcomes.
- Write advanced SQL queries to collect, transform, and interpret product data from multiple sources.
- Develop and maintain dashboards and reports to communicate findings and track performance.
- Use AI tools and automation to accelerate analysis, streamline workflows, and prototype solutions.
- Identify program risks and develop data-backed mitigation strategies.
- Partner with product, engineering, legal, and operations stakeholders to define requirements and coordinate execution.
- Improve workflows through automation and scalable operational solutions.
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