Owner.comAnalytics Engineer, GTM
About Owner.com
Owner is the AI growth system for local restaurants.
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts.
Owner is like having an army of engineers and marketers on your side, just like the big chains.
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 half 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’re looking for you
We are building a scalable, modern Data Platform at Owner.com. As a GTM Analytics Engineer, you will play a pivotal role in shaping the data landscape and driving the strategic use of data across the organization, with a focus on go-to-market solutions. You will be instrumental in building SSOT models in DBT & Snowflake, maintaining robust, scalable data pipelines, and enhancing our data infrastructure to support analytics and data-driven decision-making.
This role is 100% remote and can be based anywhere in the United States or Canada.
The impact you will have
Design and implement scalable, efficient Data Products that drives business value within our GTM product. Examples include sales heatmap & overall efficiency; quotas & attainment; revenue attribution; marketing attribution; marketing spend efficiency; Reverse ETL from product to SFDC.
Collaborate with stakeholders and GTM data scientists to understand business requirements and translate them into clear, actionable data outputs through effective data modeling.
Improve time to insight by preparing SSOT data models as a core input for analysis in Sigma, our preferred BI tool.
Optimize data pipeline systems from a variety of sources, ensuring data is accurate, timely, and consistent, Sample tools: hubspot, salesforce, talkdesk, marketing platforms. Make sure our Product / backend systems have a proper linkage with GTM systems.
Improve GTM data quality, sharing data integrity guidelines, highlighting current issues, and collaborating with different stakeholders on implementation of proper fixes.
Who you’ll work with
This role reports to our Director of Data Analytics, Piotr Rosiak.
You will partner with data scientists, business analysts, and key stakeholders from related teams such as Rev-Ops, Sales, Marketing, Product, Finance.
What we’re looking for
At least 5 years of experience in a data engineering or analytics engineering role.
Expert in SQL and DBT: strong track record of designing conceptual data models, developing comprehensive data tests, and establishing a clear, efficient single source of truth (SSOT).
A proven track record of developing and managing marketing / sales / GTM analytics from scratch.
Ability to build comprehensive end to end Data products (snowflake, DBT, Sigma).
Moderate Python experience would be considered an asset.
Highly organized, with an eye for precision and a love for keeping things tidy.
Experience with SaaS and/or startups is highly preferred.
Prior experience in the restaurant industry is a plus!
Pay and benefits
The estimated base salary range for this role is $160,000 to $180,000 for US-based roles, plus a generous equity pre-IPO equity package. For salary ranges in other geo locations, please discuss with your recruiter.
Other benefits include comprehensive health coverage, work from anywhere (100% remote 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 scammer, please mark the communication as "phishing" or “spam” and do not respond.