Staff Software Engineer, Guest Lifecycle & Loyalty

Owner

$220K — $240K *
US-AnywhereRemote in United States
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of relevant experience in leading technical initiatives across teams.
  • Proven capability to mentor and elevate engineering teams.
  • Depth in backend systems and service design for high-scale reliability.
  • Experience with data-driven decision making and experimentation methodologies.
  • A proactive approach to ambiguity with a focus on impactful outcomes.
  • Strong communication skills for cross-team alignment and influence.

Responsibilities

  • Set the technical direction for a personalization platform aimed at enhancing guest engagement.
  • Develop an intelligence layer utilizing both LLM and classic ML for scalable marketing personalization.
  • Tackle high-leverage technical challenges related to sending reliability and data quality.
  • Transform one-off campaigns into scalable, configurable processes for team efficiency.
  • Mentor and uplift fellow engineers through design reviews and knowledge sharing.
  • Collaboratively shape the project roadmap with Product, Data, and Marketing teams.

Benefits

  • Comprehensive health coverage.
  • Remote-first workplace with flexible work options.
  • Unlimited paid time off (PTO) along with additional perks.
  • Generous pre-IPO equity package.
Full Job Description
About the Team:

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. 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.

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.


What we need:

  • Staff-level technical leadership.
    A track record of owning and driving ambitious, multi-person initiatives that cross team boundaries - from a vague but exciting idea through to measurable, durable impact. (Typically 8+ years of relevant experience.)
  • A multiplier mindset.
    You make the engineers around you better - through mentorship, high standards, thoughtful design review, and the patterns and systems you leave behind.
  • Strong backend and systems depth.
    Comfort designing reliable, high-scale services and data pipelines, with good instincts for where to invest in robustness and where to move fast.
  • A data- and experimentation-driven mindset.
    You reach for holdouts, incrementality, and measurement to know what's actually working - and you're excited to apply ML and AI to real product problems.
  • Comfort with ambiguity and a bias for impact.
    You turn open-ended, aspirational goals into concrete technical bets, and you're energized rather than daunted by problems nobody has solved yet.
  • Clear communication and influence.
    You align stakeholders and move decisions across teams without relying on authority.


Pay and 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!

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