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Product Operations Specialist (Technical + LLM) at lindawernerassociates: Remote, Vereinigte Staaten; IT; Analytics. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, Vereinigte Staaten
- Role classification: IT, Analytics
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About the Role
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.
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.
Key Responsibilities
- Drive execution strategy across multiple products and platforms, including launching 0→1 initiatives, accelerating delivery, and improving quality through technical and programmatic solutions
- Write and optimize advanced SQL queries to collect, transform, and analyze product data; identify trends and actionable insights
- Build and maintain dashboards, reports, and visualizations (e.g., Google Sheets or similar tools) to support stakeholder decision-making
- Leverage AI agents and AI-assisted tools to automate workflows, accelerate analysis, and prototype solutions
- Identify program risks proactively and develop data-backed mitigation strategies; communicate effectively across cross-functional teams
- Own end-to-end program management, including planning, execution, risk identification, and cross-team coordination
- Strengthen cross-functional partnerships and proactively remove blockers to drive execution
- Support data annotation, labeling, and LLM training initiatives to improve product quality
Minimum Qualifications
- 8+ years of experience in consulting, strategy, operations, or technical program management, with a focus on product operations
- Strong proficiency in SQL, including advanced queries (CTEs, joins, aggregations, window functions, transformations)
- Experience working with AI agents and AI-assisted workflows, including prompt iteration and automation use cases
- Advanced proficiency in Google Workspace (especially Sheets), including complex formulas, documentation, and workflow automation
- Experience managing multiple workstreams simultaneously with strong prioritization skills
- Self-starter with the ability to work independently and drive projects with minimal oversight
- Strong analytical and critical thinking skills with a data-driven approach to problem solving
- Proven organizational and time-management capabilities
- Experience with data annotation/labeling and LLM training workflows
Preferred Qualifications
- Experience with development tools such as VS Code or similar environments
- Experience with low-code/no-code prototyping or AI-assisted development
- Experience building dashboards using tools such as Tableau, Looker, or similar platforms
- Familiarity with data pipelines, ETL processes, and data infrastructure concepts
- Experience collaborating with engineering teams on technical requirements and specifications
- Background in quality assurance, triage operations, or ML/AI validation workflows
- Experience developing and executing testing strategies (manual and automated) for products and features
Team & Role Context
- Supports multiple cross-functional teams and products, providing technical operations support across diverse initiatives
- Requires a balance of technical execution and program management skills
- Ideal candidates thrive in fast-paced environments and can manage projects from initiation through delivery
Must-Have Skills
- Deep experience in technical product operations or program management
- Strong SQL and data analysis capabilities
- Experience with AI tools and LLM-related workflows, including data annotation and model training support
Nice-to-Have Skills
- Experience with low-code/no-code or AI-assisted development
- Understanding of data infrastructure and pipelines
- Experience with product testing and validation frameworks
Location: Remote
Role type: Contract 6 Month Position
Expected hours: 40 per week
Benefits:
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
Schedule:
- 8 hour shift
- Monday to Friday
Language:
- English (Required)