About Owner

Owner is the AI-native system local business owners use to succeed, starting with restaurants.

We’re building the system that replaces the many tools owners use to run their business.

It powers everything from the restaurant’s website, online ordering, CRM, POS, and more.

Product philosophy

Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically.

Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it.

Using Owner should feel like having a team of great operators, engineers, and marketers working for you.

Our vision

We’re starting by helping independent restaurants succeed online.

But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.

Once we nail the solution for restaurants – we’ll scale it into every other local business type.

In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age.

Read our Series C memo here →

Our traction

Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website.

More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees.

Our team

Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe.

We’ll be scaling even faster in 2026 to keep pace with our customer growth.

Where we work

Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location!

About The Team:

The Guest Lifecycle & Loyalty (LILO) team is building what amounts to a world-class class="bg-amber-100">marketing agency for every restaurant on Owner — running automatically, at scale, with class="bg-amber-100">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, class="bg-amber-100">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 class="bg-amber-100">data that drives personalized outreach.

And we're at an inflection point. The foundations — reliable delivery, trustworthy attribution, modern campaign class="bg-amber-100">infrastructure — are coming together, and that unlocks the exciting part: making class="bg-amber-100">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:

• 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 class="bg-amber-100">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 class="bg-amber-100">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 class="bg-amber-100">marketing more autonomous (e.g., smarter targeting, creative generation, and adaptive campaign optimization), with a bias toward production-ready systems.
• Multiply the team through class="bg-amber-100">technical leadership: set engineering standards, review designs, mentor engineers, and partner cross-functionally with Product, class="bg-amber-100">Data, class="bg-amber-100">Marketing, and other GPV Growth teams.
  
  

What We Need:

• Strong class="bg-amber-100">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.

• class="bg-amber-100">Data & experimentation rigor.
  
  

Comfort defining success metrics, running controlled experiments/holdouts, and debugging performance changes across complex funnels.

Pay And Benefits

• The estimated starting base salary range for this role is $190K-220K 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!
  
  

Notice - Employment Scams

Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.

We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social class="bg-amber-100">security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as "phishing" or “spam” and do not respond.

What You’ll Work On:

• 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 class="bg-amber-100">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 class="bg-amber-100">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 class="bg-amber-100">marketing more autonomous (e.g., smarter targeting, creative generation, and adaptive campaign optimization), with a bias toward production-ready systems.
• Multiply the team through class="bg-amber-100">technical leadership: set engineering standards, review designs, mentor engineers, and partner cross-functionally with Product, class="bg-amber-100">Data, class="bg-amber-100">Marketing, and other GPV Growth teams.
  
  

What We Need:

• Strong class="bg-amber-100">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.

• class="bg-amber-100">Data & experimentation rigor.
  
  

Comfort defining success metrics, running controlled experiments/holdouts, and debugging performance changes across complex funnels.

Pay And Benefits

• The estimated starting base salary range for this role is $190K-220K 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!
  
  

Notice - Employment Scams

Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.

We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social class="bg-amber-100">security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as "phishing" or “spam” and do not respond.