Product Operations Specialist (Technical + LLM)

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

Application Question(s):

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

Language:

English (Required)