Senior Software Engineer, Guest Lifecycle & Loyalty

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Owner.com

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

☁️ SaaS

🤝 B2B

🏪 Marketplace

💰 $120M Series C - Owner on 2025-05

SaaS • B2B • Marketplace

Owner. com is an AI-powered SaaS platform that helps independent restaurants grow direct online sales by providing branded websites, online ordering, custom mobile apps, automated marketing, loyalty programs, and zero-commission delivery. The company emphasizes driving more Google traffic, repeat orders, and reduced third-party fees for restaurant owners through turnkey technology and support.

📋 Description

• 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!