资深数据库工程师
Staff Database Engineer
**关于Owner**
Owner是本地商家用来成功的AI原生系统,从餐厅开始。
我们正在打造一个系统,取代商家用来经营业务的多种工具。
它支持餐厅网站、在线订购、客户关系管理、销售点系统等所有功能。
**产品理念**
大多数小型企业软件让商家自己完成工作才能获得他们想要的结果:销售增长和利润增长。Owner会自动为他们完成这些工作。
我们的系统会带来需求,将其转化为销售,并帮助运营者日常管理业务。随着系统的提升,业务也会随之提升。
使用Owner应该就像拥有一支优秀的运营团队、工程师和营销人员为你工作。
**我们的愿景**
我们首先帮助独立餐厅在网上取得成功。
但不仅仅是餐厅需要我们的帮助。大多数本地企业都面临着同样的问题。大型科技公司正在夺走他们的客户,侵蚀他们的利润,并让他们难以生存。
一旦我们解决了餐厅的问题,就会将解决方案扩展到其他所有类型的本地企业。
在我们设想的未来,数以千万计的本地企业主将使用我们的技术,在数字时代取得成功。
**我们的进展**
自2020年以来,我们已产生数千万美元的收入,并处理了超过十亿美元的在线订单。每5个美国人中就有1人使用过[Owner.com](http://Owner.com)网站。
更重要的是,我们已经帮助了超过20,000家餐厅业主,为他们节省了近2亿美元的费用。
**我们的团队**
我们的团队目前人数在数百人左右。我们拥有来自SMB软件领域最成功公司的顶尖人才,包括:Shopify、HubSpot、DoorDash、ServiceTitan、Rappi、Faire和Stripe。
2026年我们将加快扩张速度,以跟上客户增长的步伐。
**我们在哪里工作**
Owner是一家以远程办公为主、总部位于旧金山的全球公司,多伦多设有销售中心。对于部分职位,我们优先考虑在我们办公室地点进行面对面协作。大多数同事分布在世界各地。请查看职位描述,并与你的招聘经理讨论更多关于工作地点的细节!
我们正在寻找一位经验丰富的高级数据库工程师,帮助产品团队高效地存储和访问大规模数据。你将成为产品工程师在“这个数据应该存放在哪个数据库?”和“这个访问模式是否可行?”等问题上的首选解答者。这意味着要领导大型项目,推动数据库架构设计和性能优化,确保系统能够支撑不断增长的业务需求。
查看英文原文
**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](http://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!
We are seeking a highly skilled Staff Database Engineer to help product teams store and access data effectively at scale. You 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 BizOps and BI teams.
This role is 100% remote and can be based anywhere in the United States or Canada.
**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 survival skill — e.g. advertising analytics, fintech / trading systems, large-scale consumer SaaS, or marketplaces
- Strong software engineering ability — writes, reviews, and ships production code, not SQL alone
- Flexible problem solving
- Strong written and verbal communication skills
- Deep sense of personal ownership and accountability
- Builder mentality
**Nice to Haves**
- Experience building shared platform primitives — data-sync tooling, ORM best practices, caching (Redis), search, or queues / event streaming
- Experience with payments or financial data
- Experience with cloud infrastructure (AWS/GCP), infrastructure-as-code (Terraform), and observability/performance tooling
**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 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.