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Remote
Remote only
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!
Why we are looking for you
We are looking for a mission-driven Data Platform Enginer to build Owner's data platform - the foundational systems that power analytics, AI, and decision-making across the company.
The Data Platform team owns everything data flows into and out of: ingestion, transformation, storage, orchestration, and the reverse ETL, semantic layers that put data back in the hands of the teams and products that need it, and infrastructure for our internal BI system. Today that system works, but part of it was built outside of SOT (in Hex) and needs to be migrated into DBT. You'll replace it with reproducible, production-grade infrastructure - and then make it self-service for the analysts, engineers, and AI systems that depend on it.
This is an exciting role to build out the foundations of our data platform. The team is four engineers and growing, there is very little legacy to work around, and the decisions you make in your first year will define how Owner uses data for years. Depending on your interests, there is room to focus on core pipeline and platform infrastructure, or on the semantic layer that sits between LLMs and our data and defines how AI queries it.
This role is 100% remote and can be based anywhere in the United States or Canada. For San Francisco-based candidates - we also have a new HQ in the Presidio for optional in-person collaboration.
Our stack
Ingestion: Fivetran, Portable
Transformation: dbt, Hex
Storage: Snowflake
Orchestration: Dagster
Observability: Metaplane, Select.dev
Tracking: PostHog, GA4
Reverse ETL: Hightouch, Fivetran/Census
BI: Sigma, plus an internal solution
The impact you will have
Design and build the data systems that power analytics, AI, and business intelligence across Owner
Replace one-off custom scripts with reproducible, production-grade pipelines
Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers
Improve data reliability, consistency, and compliance so every stakeholder can trust the numbers
Move the team to self-service tooling for analysts and partners
Identify and drive cost and performance optimizations across compute, storage, and processing
Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage
Provide thoughtful code reviews and technical guidance to peers, and help us build a great team
Who you'll work with
The Data Platform team - four engineers today, plus the teammates we're hiring alongside you - reporting into Data Platform leadership
Data analysts, product engineers, and business teams across Owner (marketing, sales, ops, finance) who depend on this data every day
Product and Engineering leadership, on both internal decision-making and customer-facing product use cases
What we're looking for
5+ years of data engineering or analytics engineering experience
Strong SQL and Python fluency
Hands-on production experience with Snowflake
Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow
Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders
Comfort building from zero - strong opinions, real energy for the work, and the ability to create structure where none exists
A sense of ownership, curiosity, and commitment to continuous learning
While it's not required, it's an added plus if you also have
Experience building a semantic layer, or data infrastructure for AI/ML and LLM retrieval (RAG, feature stores, dataset compliance)
Experience with reverse ETL or personalization platforms
Databricks experience (we run Snowflake today)
Experience with data governance, access control, and cost optimization for large-scale data platforms
Experience mentoring engineers and fostering a culture of learning and technical excellence
Genuine interest in the product and our customers - helping local businesses succeed, not infrastructure for its own sake
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 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.