Charles Momeny

Work

Career Impact

Organized by the kind of problem solved, not by job title or chronology — vendor operations at scale, Trust & Safety and risk governance, AI/LLM operations, and the operational efficiency work that underlies all three.

Scaling Global Vendor Operations

Global Manager, Google Maps & Location Operations

Growing a global product means growing the vendor operations behind it without losing quality, cost discipline, or accountability along the way. As Global Manager for Google Maps & Location Operations, built and ran the vendor programs behind Google Maps' international expansion — full accountability for budget, workforce, and performance across APAC, EMEA, North America, and LATAM. Scaled field and data-collection operations across eight countries spanning the Americas, Europe, and APAC.

Led a 9-person FTE team whose broader organization managed vendor operations involving 200+ vendor personnel; site-level operational responsibility covered 120+ vendor personnel across two vendor groups. That structure carried real financial and delivery accountability for the program's budget, field delivery, and workforce stability targets.

  • $30M+ global operations/project budget managed
  • 380K+ Wi-Fi surveys delivered; 10K+ indoor-map locations expanded across five countries
  • Vendor operations scaled across APAC, EMEA, North America, and LATAM
  • New-market launches across Canada, Brazil, Mexico, Italy, the Netherlands, Spain, Australia, and Germany
  • Google Japan vendor attrition reduced to 1.45%, against a 15.3% baseline

Trust & Safety, Risk & Reviewer Wellbeing

Senior Operations Manager, Vendor Strategy & Senior Program Manager, Trust & Safety Engineering

Trust & Safety work carries a different kind of scale problem: the volume is real, the content is often difficult, and the cost of getting governance wrong is measured in user harm and brand risk, not just throughput. Built and ran multi-region vendor operations supporting Trust & Safety enforcement through a period of hyper-growth, scaling teams and workflows while holding to strict productivity and quality SLAs.

Reviewer wellbeing was treated as an operational requirement, not an afterthought: new tooling and workflow controls that reduced exposure to violent and traumatic content improved wellbeing scores by 30% on internal surveys. On the governance side, built end-to-end vendor frameworks — performance management, operational audits, and escalation paths — spanning Engineering, Legal, and Business — and, earlier in Publisher Quality, built a GDPR-readiness program across vendor and internal teams working in sensitive Ads-quality workflows.

  • Cross-functional governance built across Engineering, Legal, and Business/Product
  • Strengthened brand-protection tooling and internal policy, helping reduce multi-million-dollar risk exposure to advertisers and users
  • GDPR-readiness program established across vendor and internal teams (Publisher Quality)

AI/LLM Operations & Human-in-the-Loop Systems

Senior Program Manager, Vendor Operations & Tooling — Google, EWOQ Ads LLM (via Quest Global)

Standing up operations for LLM-based work looks different from traditional vendor management — the workflows, quality bar, and governance model are still being defined in real time. On Google's EWOQ Ads LLM program (Google — via Quest Global), built and standardized a global vendor operations framework supporting LLM-based Ads data labeling across Europe, South America, India, and the U.S., reducing cross-site variance while improving throughput, quality, and execution consistency.

That included scaling Human-in-the-Loop review and AI-assisted annotation workflows across large vendor populations — balancing automation with human judgment — and building AI intake, prioritization, and delivery pipelines in partnership with Product and Engineering. Operational dashboards built with Engineering gave real-time visibility into vendor productivity, labeling quality, and cost drivers, while governance, compliance, and audit frameworks kept LLM-enabled operations aligned with privacy, security, and policy requirements. Role-based training and tooling-enablement programs shortened ramp-up time for new annotators across distributed teams.

  • Global vendor operations framework for LLM-based Ads data labeling, spanning Europe, South America, India, and the U.S.
  • Human-in-the-Loop review and AI-assisted annotation workflows scaled across large vendor populations
  • Operational dashboards for cost, quality, and throughput visibility, built with Engineering
  • AI vendor governance, compliance, and audit-readiness frameworks aligned with Legal, Security, and Procurement

Operational Efficiency, Governance & Scale

Senior Manager, AdWords/Google Shopping · Senior Program Manager, Publisher Quality Group

Not every operational problem is about scale for its own sake — sometimes it's about making an existing program more efficient without sacrificing quality or adding headcount. As Senior Manager for AdWords/Google Shopping, improved operational efficiency through tooling and process standardization across APAC, EMEA, and North America vendors, while maintaining global service continuity across four product areas with lean, vendor-supported teams.

Earlier, in Publisher Quality, shifted a large share of manual QA work to MSP partners — expanding program capacity without expanding headcount — and built governance and process frameworks that held up under scrutiny. Similar operational-governance discipline carried into public-sector work at California Correctional Health Care Services, improving cycle times, compliance, and issue-resolution speed.

  • 50% efficiency improvement in AdWords/Google Shopping operations
  • 120+ hours/week of manual QA work shifted to MSP partners (Publisher Quality)
  • California Correctional Health Care Services (supporting breadth, public sector): 10% faster cycle times, 100% compliance, 20% faster issue resolution

Selected Builds

Applied product and systems thinking, outside the day job — problem framing, requirements discipline, AI-assisted execution, and the discipline to ship and iterate.

Japan Property OS

Acquisition decision-support for foreign property buyers in Japan

Live product · Active development

Japan Property OS welcome page

Buying property in Japan as a foreign buyer means navigating a market with unfamiliar rules, language barriers, and listings data that doesn't tell you whether a property actually fits your situation. Japan Property OS is a real, actively developed product built to close that gap — from problem definition and requirements through shipping and ongoing iteration, not a one-off prototype.

The current core feature is the Suitability Score — an LLM-based, personalized fit assessment that replaced an earlier, more rigid checklist-completion score once real usage showed a fixed percentage couldn't capture what actually mattered to different buyers. AI-assisted development, automated testing, and CI support disciplined iteration and release quality.

Read the case study →
Multi-Site Job Saver

Open-source browser extension

A fragmented job-search workflow — filtering and saving listings across multiple job sites — turned into a shipped, working tool. Distributed via GitHub Releases; a companion web application extending the workflow further is in active development.

Shipped via GitHub Releases

View release ↗