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RZR

Cross-channel DSP for growth marketing

Executive Assistant - PHP

Executive SupportConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 10 years of Executive Assistant experience supporting C-level executives.
  • Strong communication and stakeholder management skills.
  • Highly organized, proactive, and detail-oriented.
  • Comfort working with AI and productivity tools such as ChatGPT, Claude, JIRA, and Confluence.
  • Experience working in fast-paced global companies.
  • High discretion, ownership, and flexibility across time zones.
  • Comfort working a night shift schedule aligned to US (PST) business hours.

Responsibilities

  • Manage and optimize the CEO's calendar across US, APAC, and EMEA time zones, resolving conflicts proactively.
  • Manage the CEO's high-volume inbox, including drafting and responding on the CEO's behalf.
  • Prepare meeting briefs, agendas, and follow-ups with clear action tracking.
  • Coordinate internal and external stakeholders with speed and accuracy.
  • Plan and manage travel, logistics, and scheduling across regions.
  • Maintain organized documentation, trackers, and priority lists.
  • Ensure seamless daily handoffs between night and day shift Executive Assistants.
  • Anticipate needs and surface risks or conflicts ahead of time.
  • Draft clear, concise, and professional communications on behalf of the CEO.
  • Act as a gatekeeper while maintaining strong stakeholder relationships.

About the Company

RZR

Cross-channel DSP for growth marketing

RZR is a growth marketing intelligence platform that unifies and optimizes advertising campaigns across mobile, retargeting, and Connected TV. Its DSP uses a proprietary neural architecture to analyze billions of signals in real time and predict a user’s lifetime value before bidding, guiding campaigns toward higher-value outcomes like ROAS and long-term retention. The platform emphasizes cross-channel integration and a single connected performance system, powered by global data centers and ML models to scale for brands in gaming, retail, and entertainment. The goal is to help brands increase marketing effectiveness across channels through value-based bidding and attribution.

Company size
51-200
Company stage
Acquired
Total funding
$1.7M
Headquarters
United States
Founded
2010

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