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Linda Werner & Associates

Product Operations Specialist

United States Posted 2026-05-23
Type
Full-time
Experience
8+ yr
Source
Greenhouse
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)
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