Lovingly

Lovingly

SEO Generalist

Hopewell Junction, New York, United States

Sponsorship not specified$75k-$110kDetected 250 days ago
Design SystemsSEOGoogle AnalyticsLeadershipCollaboration

About the role

  • We operate at the intersection of local commerce, technology, and emotionally meaningful moments.
  • You won't be fighting to convince people SEO matters.
  • You'll be designing and running the system that proves it.

Responsibilities

  • You'll define standards, drive execution through others, and personally ship work that moves the numbers.
  • Priority partner florist sites lovingly.com Local search surfaces (GMB/GBP, maps, local packs) SEO-driven lift in first orders and GMV for target partner cohorts and key lovingly.com journeys Solid technical and local SEO hygiene across high-priority accounts and core lovingly.com sections
  • Partner sites lovingly.com
  • (Day-to-Day) Run targeted SEO audits on priority partner sites and key lovingly.com surfaces
  • GA4, Search Console, and core dashboards Partner-level scorecards where applicable

Compensation

  • $75k-$110k

Benefits

  • $110K-$150K + potential bonus/stipend
  • $150K-$200K + larger potential bonus/stipend tied to impact Level determined by demonstrated cross-domain impact and
  • Comprehensive health insurance, dental, vision
  • $75K-$110K + potential bonus/stipend

Company info

  • About Lovingly Lovingly helps independent florists win in their local markets while building a consumer brand that customers love returning to.
  • We're building systems, not one-off campaigns - and we use AI as a core part of how we operate, not as a buzzword.
  • Role Summary We're looking for an SEO Generalist who can own how Lovingly - and our florist partners - show up across search: Local (maps, packs, listings) Web (partner sites + lovingly.com ) Emerging AI assistants and answer engines This is not a narrow "SEO specialist" role focused on one site or one channel.

This listing is sourced directly from Lovingly's careers page and normalized into a canonical job model.