Senior Software Engineer, Guest Acquisition

🏢 Owner
📍 Remote · United States
💰 $190,000 - $220,000 / year
📅 Posted Sep 14, 2026 · via RemoteIO
🏷 SEO, Aeo, Data Analysis, Software Engineering, Technical Leadership
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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.
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!
What you’ll work on
- Own the technical strategy for SEO/AEO systems at scale, translating ambiguous growth goals into a prioritized roadmap, clear metrics, and durable system architecture.

- Lead end-to-end delivery of major initiatives such as new ingestion sources, indexing and serving improvements, or content generation workflows, from design through launch and operational readiness.

- Raise the bar on reliability, quality, and observability across pipelines and services, building guardrails, alerting, dashboards, and incident-ready runbooks that enable sustained iteration.

- Drive a rigorous experimentation and measurement loop, partnering with product, data, and cross-functional teams to validate impact, diagnose regressions, and continuously improve performance.

- Mentor and multiply the team, setting engineering standards, reviewing designs, coaching other engineers, and aligning across teams where changes require ownership.

What we need
- Strong technical leadership and end-to-end ownership.
Ability to set direction, drive alignment, and deliver multi-quarter initiatives from design through launch and iteration.

- Familiarity with SEO systems at scale.
Experience with crawling and indexing, content generation, templating, structured data, internal linking, canonicalization, and internationalization is a plus.

- Data and experimentation rigor.
Comfort defining success metrics, running controlled experiments, analyzing results, and debugging performance changes (rankings, traffic, conversion).

- Operational excellence.
Experience building reliable pipelines and services with strong observability, alerting, and incident-ready runbooks.

- Systems thinking across the stack.
Able to reason about tradeoffs across ingestion, storage, serving, and quality controls, and to design d

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