Owner

Owner

Staff Software Engineer, Guest Lifecycle & Loyalty

Remote - United States · Staff+

Sponsorship not specified$220k-$240kDetected 33 days ago
Machine LearningData EngineeringLLMsA/B TestingHubSpotCRMShopifyCommunicationCollaborationMentoring

About the role

  • The foundations - reliable delivery, trustworthy attribution, modern campaign infrastructure - are coming together, and that unlocks the exciting part: making marketing radically more personalized at both the restaurant and the guest level.
  • Picture campaigns that generate themselves from real-world signals, creative that adapts to each restaurant's brand voice, and channel, item, and offer decisions optimized for each individual guest.
  • Some of that will run on LLMs; much of it, at guest scale, will require classic ML systems we haven't built yet.

Responsibilities

  • Our system drives demand, converts it, and helps operators run their business day to day.

Skills

  • Owner is the AI-native system local business owners use to succeed, starting with restaurants.
  • It powers everything from the restaurant's website, online ordering, CRM, POS, and more.
  • Product philosophy

Compensation

  • The estimated starting base salary range for this role is $220K-$240K depending on level, location and experience, plus a generous pre-IPO equity package

Benefits

  • The estimated starting base salary range for this role is $220K-$240K depending on level, location and experience, plus a generous pre-IPO equity package
  • Other benefits include comprehensive health coverage, work from anywhere (remote-first workplace), unlimited PTO - plus extra fun perks!

Company info

  • The Guest Lifecycle & Loyalty (LILO) team is building what amounts to a world-class marketing agency for every restaurant on Owner - running automatically, at scale, with data-driven optimization that even a great agency could never match.
  • We own the messaging, loyalty, and intelligence that turn first-time guests into repeat guests and long-term regulars across email, SMS, and push, along with the systems that power segmentation, experimentation, and measurement - so restaurants can reliably grow repeat orders and lifetime value.
  • Our work sits at the intersection of product, data, and deliverability/reliability: we're scaling high-volume communications safely, improving attribution and experimentation rigor, and raising the quality and timeliness of the customer data that drives personalized outreach.
  • And we're at an inflection point.
  • What you'll work on:
  • Set the technical direction for the personalization platform - the systems that decide who we reach, when, on which channel, and with what creative, item, and offer - and chart the path from today's foundation toward an increasingly autonomous, agent-assisted future.
  • Build the intelligence layer, combining LLM-powered and classic ML approaches to personalize marketing at restaurant and guest scale, where cost and latency mean we can't just reach for a model call every time.
  • Own the hard, high-leverage problems that make all of this possible and trustworthy - reliable high-volume sending, an experimentation and measurement engine teams can trust, and the data quality that great personalization depends on.
  • Turn one-off campaign work into a durable platform, so launching a new guest journey becomes configuration rather than a bespoke engineering project - creating leverage for the entire team.
  • Amplify the engineers around you - set the technical bar, mentor and grow engineers within and beyond LILO, lead design reviews, and leave the people and systems you touch meaningfully better.
  • Help shape the roadmap alongside Product, Data, and Marketing, bringing clarity to ambiguous, open-ended problems and helping decide what we take on next.

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