Program Manager (Experiential Marketing / Event)

Onsite: Menlo Park

Must-Have Skills

• 8+ years in partnerships, experiential or field marketing, event production, or related fields, with experience owning live activations end-to-end under tight timelines and shifting priorities.
• Proven ability to influence cross-functional stakeholders and execute in ambiguous, matrixed environments, with experience presenting and demoing to senior executives, high-profile talent, or major officials.
• Experience managing hardware or product-seeding programs with external partners and delivering multi-market or international activations

Nice-to-have Skills

• Experience supporting VIP talent and coordinating with representatives and security; working across media, sports, entertainment, music, fashion, creator, and policy ecosystems; and training cross-functional teams on product onboarding.
• Proficiency using AI to improve efficiency and quality, applying responsible AI practices, and continually developing AI skills.

Summary:

• The main function of a non-IT program manager is to plan, direct, or coordinate activities in such fields as engineering, research and development, financial systems and product roll-out, etc or any other non-IT based project.

Responsibilities:

• Run demo activations in the field from start to finish, across tentpole events, priority industries, and individual partner moments.
• Design and deliver creative activations at every scale, from large event footprints to 1:1 meetings, that reflect Client's strategy across wearables, VR, AI, and the family of apps.
• Deliver executive narratives and live product demos (released and unreleased) to C-level business leaders, A-list celebrities and talent, and other influential figures.
• Support senior executives during high-visibility partner engagements.
• Partner with the Strategic Initiatives team to test playbooks in live conditions, report back what works, and share responsibility for results.
• Train cross-functional colleagues on smart glasses onboarding so partners have a smooth seeding experience.
• Work closely with Partnerships, Office of the President, Marketing, Policy, Communications, and Security to secure resources, approvals, and logistics.
• Own on-site readiness: staffing, inventory, device setup, run-of-show, backup plans, and post-event follow-up.
• Manage program details with clear docs, task tracking, project boards, and AI tools.
• Travel domestically (40–50%) on a flexible schedule, including evenings and weekends.

Minimum Qualifications:

• 8+ years of experience in partnerships, experiential marketing, event production, field marketing, or related fields.
• Experience leading live activations end-to-end, including on-site ownership under tight timelines and shifting priorities.
• Proven ability to influence and execute with cross-functional stakeholders in ambiguous, highly matrixed environments.
• Experience presenting and demoing to senior executives, high-profile talent, or major officials.
• Deep comfort with, and enthusiasm for, learning and explaining new consumer technology.
• Strong written and verbal communication, including turning complex product topics into clear, executive-ready narratives.
• Willingness and ability to travel 40–50%, including evenings, weekends, and international trips.
• Bachelor's degree or equivalent practical experience.

Preferred Qualifications:

• Track record running hardware or product-seeding programs with external partners.
• Multi-market or international activation experience.
• Experience with white-glove or VIP talent handling, including working with talent representatives and security teams.
• Experience in media, sports, entertainment, music, fashion, or creator ecosystems.
• Experience working with policymakers, government affairs teams, or institutional partners.
• Experience training or enabling cross-functional teams on product onboarding.
• Experience using AI tools to streamline workflows and drive measurable gains in efficiency or quality.
• Experience following responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with new AI technologies.