Owner.com logo
Owner.com

We make online growth easy for restaurants.

Senior Software Engineer, Guest Lifecycle & Loyalty

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 201-500Since 2020H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$190K - $220K / year

Seniority

Senior

Bachelor DegreeEnglish

Job Description

Senior Software Engineer, Guest Lifecycle & Loyalty

Owner.com

• Own high-impact lifecycle initiatives end-to-end (from ambiguous goal → design → build → launch → iteration), spanning guest journeys like activation, reactivation, graduation, and loyalty. • Build reliable messaging and data pipelines that power campaign execution (segmentation, scheduling, send-time optimization) across email/SMS/push at scale. • Raise the bar on deliverability and compliance (domain warmup, provider policies, Twilio registration, throttling/guardrails), ensuring we can send safely while maximizing reach and performance. • Establish an experimentation + measurement loop for lifecycle: holdouts, incremental lift, attribution quality, and analytics instrumentation that product and marketing can trust. • Improve platform observability and operational excellence with SLOs, dashboards, alerting, and incident-ready runbooks for business-critical pipelines. • Ship AI-assisted capabilities that make lifecycle marketing more autonomous (e.g., smarter targeting, creative generation, and adaptive campaign optimization), with a bias toward production-ready systems. • Multiply the team through technical leadership: set engineering standards, review designs, mentor engineers, and partner cross-functionally with Product, Data, Marketing, and other GPV Growth teams.

Job Requirements

  • Strong technical leadership and action bias.
  • Proven ability to drive multi-quarter, cross-functional initiatives from problem framing through measurable outcomes.
  • AI-leaning builder.
  • Hands-on experience shipping AI-assisted features or platform capabilities (LLMs, embeddings, ranking, or ML-adjacent systems), and a pragmatic approach to evaluation, safety, and iteration.
  • Strong end-to-end ownership.
  • Ability to take projects from vague problem statements through design, implementation, and production support.
  • Product-oriented engineering judgment.
  • Able to make tradeoffs that balance speed, quality, and long-term platform leverage in a fast-moving environment.
  • Strong communication and collaboration.
  • Ability to align stakeholders and influence decisions across teams without authority.
  • Data & experimentation rigor.
  • Comfort defining success metrics, running controlled experiments/holdouts, and debugging performance changes across complex funnels.

Benefits

  • comprehensive health coverage
  • work from anywhere (remote-first workplace)
  • unlimited PTO
  • plus extra fun perks!

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