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 the 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, Hub Spot, Door Dash, Service Titan, 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!
We are seeking a highly skilled Staff Database Engineer to help product teams store and access data effectively will be the default place product engineers turn to for "which database should this live in?" and "will this access pattern hold up?" This means leading large projects like migrations and building the platform engineers interact with. You will be driving the largest, load-bearing changes to our data infrastructure.
This is a hands-on, software-engineer-first role. It is not a BI, data-warehousing, or analytics-engineering role — that work lives with our Biz Ops and BI teams.
This role is 100% remote and can be based anywhere in the United States or Canada, or anywhere in Mexico or Colombia.
The impact you'll have
Lead the migration of product workloads
Give product engineers a clear home for "where should this data live and how should I access it?"
Build reusable primitives — data-sync utilities, ORM best practices, and access-pattern / schema / index review — so teams stop reinventing patterns.
Expand the product-data platform over time into caching, search, and event streaming.
Who you'll work with
Product Engineering Teams
Platform / Infrastructure Teams
This role has company-wide impact and will partner cross-functionally across the entire engineering organization.
What we're looking for
Hands-on experience working with databases inside the product — owning OLTP access patterns, indexing, query optimization, and schema design as part of building user-facing applications
Comfortable both writing code in the product stack and reasoning carefully at the database layer
Deep expertise with a major relational engine (Postgres strongly preferred) in high-volume production; experience migrating workloads (e.g., MongoDB → Postgres) a strong plus
Expertise in schema design, indexing, query optimization, and zero-downtime migrations on large, live tables
Experience scaling systems through significant traffic and data growth, in a domain where understanding access patterns at scale is a…
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