[Hiring] Product Operations Specialist @Linda Werner & Associates

Role Description

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.

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

Application Question(s)

• Do you or will you in the future require any sponsorship to work in the US?

Language

• English (Required)