Technical Product Operations Specialist IV (6296)

itD Tech•Menlo Park, CA

43d•Hybrid

About The Position

itD is seeking a Technical Product Operations Specialist IV to drive program execution, data-driven decision-making, and technical process improvements across multiple products and platforms. The ideal candidate will bring deep experience in technical product operations, program management, SQL analytics, AI-assisted workflows, and data visualization, with a proven track record of managing multiple workstreams and delivering measurable operational improvements. Location: Remote US; hybrid opportunities available in NYC, Menlo Park, DC, or Seattle. Number of Positions: 2 Estimated Start Date: ASAP Duration: Through December 31, 2026, with potential for extension. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Requirements

8+ years of relevant experience in consulting, strategy, operations, technical product operations, or program management.
Advanced proficiency in SQL, including CTEs, window functions, joins, aggregations, and data transformations.
Experience using AI agents and AI-assisted workflows to accelerate analysis, automate tasks, or improve productivity.
Expert-level proficiency with Google Workspace, particularly Google Sheets, including complex formulas, pivot tables, detailed documentation, and automated workflows.
Proven experience managing multiple workstreams simultaneously with a high degree of independence.
Strong analytical and critical-thinking skills with the ability to use data to identify, anticipate, and resolve problems.
Demonstrated ability to work independently, take initiative, and drive programs forward with limited supervision.
Strong organizational, time-management, and cross-functional communication skills.
Ability to quickly learn and adapt to new tools, technologies, and technical requirements.
Bachelor’s degree in a relevant field or equivalent work experience required.

Nice To Haves

Experience supporting product operations teams, particularly within large technology organizations.
Experience with AI-assisted development, vibe coding, low-code/no-code prototyping, or AI-generated code.
Experience with VS Code or similar development environments.
Experience building dashboards and data visualizations using Tableau, Looker, or similar platforms.
Familiarity with data pipelines, ETL processes, and data infrastructure concepts.
Experience partnering with engineering teams on technical specifications and requirements.
Background in quality assurance, triage operations, ML/AI validation, or product testing.
Experience developing and implementing manual or automated test strategies.

Responsibilities

Drive program execution across multiple products and platforms, including launching 0-to-1 initiatives, accelerating delivery, and improving product outcomes through technical and programmatic solutions.
Write and optimize advanced SQL queries using CTEs, window functions, joins, aggregations, and data transformations to analyze product data and identify actionable trends and insights.
Build and maintain dashboards, reports, and data visualizations to communicate findings effectively and support real-time business decision-making.
Leverage AI agents and AI-assisted workflows to accelerate data analysis, automate repetitive processes, and prototype solutions that improve operational efficiency.
Identify and mitigate program risks by using data and critical thinking to anticipate roadblocks, develop mitigation plans, and drive issues toward resolution.
Collaborate with product, engineering, legal, and cross-functional stakeholders to define requirements, strengthen execution, and deliver program objectives.
Manage multiple concurrent workstreams independently while maintaining strong organization, documentation, communication, and execution standards.
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material (blogs, media material).
Build out material to contribute to the Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.