Senior Software Engineer, Guest Lifecycle & Loyalty
Posted 1hrs ago
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Job Description
Senior Software Engineer developing lifecycle solutions for restaurant marketing. Leading AI-driven initiatives in a remote-first environment focused on guest engagement and loyalty.
Responsibilities:
- 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.
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!

















