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<p><strong>About the Role</strong></p>
<p>The Product & Regulatory Operations organization plays a critical role in supporting user and business safety across platforms. This team partners closely with product, engineering, legal, and cross-functional stakeholders to deliver operational excellence for emerging and high-priority initiatives.</p>
<p>As a Technical Product Operations Specialist, you will drive product quality, growth, and operational efficiency through data-driven decision-making, technical tooling, and AI-enabled workflows. This role requires a high degree of autonomy, along with strong technical acumen and product sense to independently execute and scale solutions.</p>
<p><strong>Key Responsibilities</strong></p>
<ul>
<li>Drive execution strategy across multiple products and platforms, including launching 0→1 initiatives, accelerating delivery, and improving quality through technical and programmatic solutions</li>
<li>Write and optimize advanced SQL queries to collect, transform, and analyze product data; identify trends and actionable insights</li>
<li>Build and maintain dashboards, reports, and visualizations (e.g., Google Sheets or similar tools) to support stakeholder decision-making</li>
<li>Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions</li>
<li>Identify program risks proactively and develop data-backed mitigation strategies; communicate effectively across cross-functional teams</li>
<li>Own end-to-end program management, including planning, execution, risk identification, and cross-team coordination</li>
<li>Strengthen cross-functional partnerships and proactively remove blockers to drive execution</li>
<li>Support data annotation, labeling, and LLM training initiatives to improve product quality</li>
</ul>
<p><strong>Minimum Qualifications</strong></p>
<ul>
<li>8+ years of experience in consulting, strategy, operations, or technical program management, with a focus on product operations</li>
<li>Strong proficiency in SQL, including advanced queries (CTEs, joins, aggregations, window functions, transformations)</li>
<li>Experience working with AI agents and AI-assisted workflows, including prompt iteration and automation use cases</li>
<li>Advanced proficiency in Google Workspace (especially Sheets), including complex formulas, documentation, and workflow automation</li>
<li>Experience managing multiple workstreams simultaneously with strong prioritization skills</li>
<li>Self-starter with the ability to work independently and drive projects with minimal oversight</li>
<li>Strong analytical and critical thinking skills with a data-driven approach to problem solving</li>
<li>Proven organizational and time-management capabilities</li>
<li>Experience with data annotation/labeling and LLM training workflows</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Experience with development tools such as VS Code or similar environments</li>
<li>Experience with low-code/no-code prototyping or AI-assisted development</li>
<li>Experience building dashboards using tools such as Tableau, Looker, or similar platforms</li>
<li>Familiarity with data pipelines, ETL processes, and data infrastructure concepts</li>
<li>Experience collaborating with engineering teams on technical requirements and specifications</li>
<li>Background in quality assurance, triage operations, or ML/AI validation workflows</li>
<li>Experience developing and executing testing strategies (manual and automated) for products and features</li>
</ul>
<p><strong>Team & Role Context</strong></p>
<ul>
<li>Supports multiple cross-functional teams and products, providing technical operations support across diverse initiatives</li>
<li>Requires a balance of technical execution and program management skills</li>
<li>Ideal candidates thrive in fast-paced environments and can manage projects from initiation through delivery</li>
</ul>
<p><strong>Must-Have Skills</strong></p>
<ul>
<li>Deep experience in technical product operations or program management</li>
<li>Strong SQL and data analysis capabilities</li>
<li>Experience with AI tools and LLM-related workflows, including data annotation and model training support</li>
</ul>
<p><strong>Nice-to-Have Skills</strong></p>
<ul>
<li>Experience with low-code/no-code or AI-assisted development</li>
<li>Understanding of data infrastructure and pipelines</li>
<li>Experience with product testing and validation frameworks</li>
</ul>
<p>Location: Remote</p>
<p>Role type: Contract 6 Month Position</p>
<p>Expected hours: 40 per week</p>
<p>Benefits:</p>
<ul>
<li>Dental insurance</li>
<li>Health insurance</li>
<li>Health savings account</li>
<li>Life insurance</li>
<li>Paid time off</li>
<li>Retirement plan</li>
<li>Vision insurance</li>
</ul>
<p>Schedule:</p>
<ul>
<li>8 hour shift</li>
<li>Monday to Friday</li>
</ul>
<p>Application Question(s):</p>
<ul>
<li>Do you or will you in the future require any sponsorship to work in the US?</li>
</ul>
<p>Language:</p>
<ul>
<li>English (Required)</li>
</ul>
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