Interested in using AI to market a platform about AI that is being built with AI?  Are you an innovative digital marketer who enjoys hands-on execution and experimentation across a variety of digital channels?  Do you like learning new AI tools working in a fast-paced environment that lets you launch them across multiple areas of marketing—web content, email automation, AEO/GEO, newsletters, paid media, content promotion, and analytics? Have you helped design and launch AI-powered digital solutions?  Can you stay ahead of the market by leveraging the latest AI tools before they become mainstream?  If you’re detail-oriented, curious, and eager to grow as an AI product marketer, this role is a great fit.

We’re seeking an AI Product Marketing Specialist who will lead the product requirements, high-level feature design, and marketing of an AI-focused platform which was just launched as a wiki, but with big plans for additional AI-powered features, content expansion, and a high volume of highly engaged traffic.  The vision is to become the leading destination for AI business strategy, research, and discussion.

You will support the execution of digital programs that generate awareness, engagement, and user content. You will work closely with the CEO to plan product features, manage launches, implement marketing campaigns, monitor performance, manage assets, and help improve our marketing operations. This is an ideal role for a self-motivated person who has been personally (or through work) experimenting with the latest AI tools (e.g. Claude Code, OpenClaw, agents) and wants to deploy them into production for large-scale B2B marketing.

Primary Responsibilities

Security Operation

• Train Security Officers in the operation of surveillance equipment, written reports, record keeping, patrol and first aid procedures
• Disseminate all information by the Management to team members
• Conduct patrols and regular checks on all Security Officers to assure that they are alert and discharging their duties efficiently and effectively
• Conduct all criminal investigations, put up accompanying investigation papers and reports cases which occur within the Hotel
• Conduct surveillance on hotel staff to ensure that they abide by the House Rules; Keep tag on movements of staff who are classified as suspects under investigations
• Control and direct all emergency personnel traffic in response to fire, bomb threat, police assistance, injury or illness
• Inspect all Security equipment to ensure that they are in working order and that all cameras are correctly focused
• Conduct routine day-to-day checks of the following items to ensure that they are properly maintained, issued and accounted for;
  • Pocket books;
  • Security Desk Occurrence Book;
  • Gate Passes and Security Passes;
  • Keys and Key Registers;
  • Post allocation for hotel and External Security
• Cultivate Informers with the intention of obtaining information of security interest that may be of immediate or future use to the Department for prevention and detection purposes
• Record all activities involving the Department in the Daily Security Report
• Provide security coverage for VIP guests
• Update Director of Security constantly on all matters of security interest affecting the Hotel and the Department
• Always be on-call, including off-duty hours, for any emergency that may arise

Team Management

• Conduct performance review with the team
• Identify and develop team members with potential
• Constantly monitor team members’ appearance, attitude and degree of professionalism
• Conduct detailed induction programs for new employees
• Develop, conduct maintain all staff training programs for team members, focusing on their development needs, providing them with new skills to meet the changing needs of the business
• Prepare weekly staff schedules keeping in mind anticipated business, operating budgets and standards of service

Job Summary

The Associate Manager – Statistical Operations leads end‑to‑end statistical and analytical operations supporting RMS and OMNI business planning and decision‑making. The role ensures high‑quality forecasting, universe‑level trend tracking, KPI validation, and Store & Sample Maintenance, along with overall operational rigor using internal, syndicated, and panel data.

This role partners closely with Analytics, Data Science, Sourcing, Transformation & Enablement, Business, Technology, and People (HR) teams to deliver reliable statistical outcomes while fostering strong team collaboration and associate development.

Statistical Operations

• Own end‑to‑end statistical operations across forecasting and analytics workflows, including data intake, validation, model inputs, output reviews, and downstream hand‑offs.
• Ensure accurate, timely, and SLA‑compliant delivery of forecasts, validated KPIs, universe metrics, and analytical outputs across RMS and OMNI processes.
• Monitor and assess universe‑level trends to ensure stability, consistency, and alignment across time periods and data sources.
• Perform KPI validation and data health checks, ensuring completeness, reasonability, and adherence to defined statistical standards.
• Lead Store & Sample Maintenance processes, including store and sample additions, removals, corrections, alignment, and ongoing universe maintenance.
• Ensure store‑ and sample‑level data integrity through regular validation, reconciliation, and impact assessments on forecasts and KPIs.
• Leverage panel and syndicated data to support forecasting, universe trend analysis, KPI validation, and statistical measurements.
• Support analytical enablement for new initiatives, pilots, and ongoing programs requiring statistical support or model updates.
• Manage historical and ongoing updates such as universe restatements, store/sample maintenance updates, trend adjustments, and KPI corrections, with strong governance and documentation.
• Review and validate statistical methodologies, assumptions, and outputs to ensure consistency across datasets, models, stores/samples, and time horizons.
• Conduct forecast and KPI performance reviews and drive continuous stability and accuracy improvement initiatives.
• Lead and contribute to cross‑functional analytical projects aimed at strengthening statistical processes and operational efficiency.
• Drive automation and process optimization initiatives to reduce manual effort, improve scalability, and enhance data reliability.
• Partner with Analytics, Data Science, and Transformation & Enablement teams to transition pilots into BAU operations.