Senior Software Engineer, Guest Lifecycle & Loyalty

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.

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 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.

What we need

• 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.