As a GTM Analytics Engineer, you'll design scalable data products, ensure data integrity, and collaborate with stakeholders to drive data-driven decisions.
👋 About Owner.com
Owner is the all-in-one platform that restaurants use to succeed online.
Thousands of restaurant owners use our tools to build their website, drive online orders, create their own branded app, manage their customer relationships, and set up marketing automations.
You can think of it as Shopify meets HubSpot, but specifically for restaurants.
Learn more about the problems we are solving for our customers here.
🌎 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
In just over 3 years we've generated tens of millions in revenue, served millions of guests, and processed hundreds of millions of online orders.
More importantly, we’ve helped thousands of restaurant owners save their businesses - and not only survive, but thrive.
⭐ Our team
Our team grew from under 100 to nearly 200 talented people in 2024. 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 2025 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 employees 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 employee 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.
Top Skills
Dbt
Hubspot
Python
Salesforce
Sigma
Snowflake
SQL
Talkdesk
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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