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 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
Owner's marketing is entering a new chapter. We're building AI first truly personal marketing capabilities. We will build a system where every lead and customer is truly understood: what they care about, where they are in their journey, what they've been educated on, and what they're most likely to respond to next. The goal is intelligent, personalized, multi-channel marketing at scale — powered by data and AI.
But great vision requires great infrastructure. Before we can build intelligent systems, we need rock-solid fundamentals: accurate tracking, trustworthy data models, clean pipelines, and a CDP that actually knows who our customers are. That's where you come in.
As our Senior MarTech Engineer, you'll own the technical backbone of our GTM marketing stack. You'll design and build the tracking infrastructure that powers our paid acquisition, the data models that feed our CDP and CRM, and the automation systems that help us reach the right person at the right time on the right channel. Over time, you'll be on the frontier of what agentic AI looks like in martech — helping Owner move from rule-based automation toward systems that intelligently decide how to engage every user, every day.
This is an individual contributor role on a deliberately small, technical Marketing Operations team. We stay lean by design — and use AI to punch well above our weight.
This role is fully remote and can be based out of the United States or Canada.
The impact you’ll have
1. Tracking Infrastructure
Own Tag Implementation — client-side and server-side — and keep event tracking clean and consistent across web and product
Build and maintain server-to-server conversion integrations for Meta, Google Ads, and other paid platforms
Own tracking hygiene end-to-end: UTM standards, pixel coverage, event schemas, and identity resolution
2. CDP & Customer Profile Architecture
Own the Hightouch data model — define the canonical customer/lead object, key events, and the attributes that power segmentation and personalization
Build pipelines that populate profiles with the richest possible signal: behavioral, transactional, and engagement data
Define identity resolution so leads and customers are recognized consistently across every tool and touchpoint
Partner with Data Engineering on the upstream warehouse models that feed the CDP
3. Marketing Data Pipelines & Integrations
Own integrations between our martech stack and various core systems
Drive faster, cleaner customer data into Braze — better segmentation, better personalization, better results
Define data contracts and schemas; catch and fix data quality issues before they hit campaigns
4. AI-Powered Automation
Build and evolve marketing workflows leveraging tools such as Make.com, Braze, and HubSpot with reliability and observability baked in
Use AI to accelerate your own build velocity and design agent-based systems that decide how to engage each user
Evaluate where AI-driven decisions can replace static rules — and build the infrastructure to do it safely
5. Roadmap & Standards
Identify gaps in the stack and make the case for solutions — don't wait to be asked
Contribute to the MarketingOps technical roadmap; help the team make sound architectural decisions
Document systems, models, and integrations so the team's knowledge compounds over time
Who you’ll work with
This role reports to our Director, Marketing Operations
Marketing (your primary partner)
RevOps/BizOps (data, dashboards, definitions)
Engineering (PLG)
What we’re looking for
Must-Have Experience
5–10 years in marketing technology, marketing operations, or a closely related technical role
Hands-on expertise with Tag Management— particularly client side pixel including custom JS.
Experience building server-to-server (API/CAPI) conversion integrations with major paid platforms (Meta Conversions API, Google Enhanced Conversions, or similar)
Working knowledge of CDP architecture and data modeling — hands-on experience with any CDP platform (Hightouch, Segment, RudderStack, mParticle, Tealium, or similar)
Strong SQL skills: you can write the queries yourself, not just read them
Experience integrating marketing data between systems — connecting CRMs, MAPs, and lifecycle tools so data flows cleanly
Solid understanding of marketing attribution fundamentals: UTM hygiene, multi-touch models, identity resolution, and what makes tracking trustworthy
Preferred Experience
Direct experience with tools in our current stack: Hightouch, Braze, HubSpot, Salesforce, Snowflake/Databricks/Bigquery
Experience with reverse ETL patterns and data activation workflows
Proficiency in JavaScript or Python for custom integrations, GTM custom templates, or lightweight automation scripts
Hands-on experience building AI-powered workflows — whether with Claude, GPT, or automation tools that incorporate LLMs
Experience in a B2B SaaS environment, especially with SMB or restaurant/hospitality verticals
Familiarity with data warehouse concepts (Snowflake, BigQuery, or similar) and how upstream data models affect downstream marketing
Leadership & Values
Obsess over accuracy — you hold tracking data to a high standard because you know bad data leads to bad decisions
Move fast and own it — you don't wait for perfect specs; you draft them yourself, get feedback, and ship
AI-forward — you're genuinely excited about building with AI, not just using it. You see agentic systems as a natural evolution of what marketing infrastructure should be
Small team, big output — you thrive in lean environments where you set your own direction and use every tool available (including AI) to multiply your impact
Raise the bar — you document your work, care about reliability, and leave systems better than you found them
Interview Process
Recruiter Screen: 30-minute phone call to align on your background, what you're looking for, and answer any early questions
Hiring Manager Screen: 45-minute video interview with the hiring manager focused on your technical experience, marketing systems expertise, tracking architecture knowledge, and approach to solving complex implementation challenges
Case Study: A high-level exercise focused on evaluating tracking infrastructure, identifying opportunities for improvement, and thinking through Google and Meta tracking best practices
Full Round Interview: Series of interviews with three cross-functional partners covering technical expertise, collaboration style, communication, and how you'd operate in the role
Final Round Interview: Conversation with senior leadership focused on team fit, long-term impact, and overall alignment with the role and company goals
Pay and benefits
The estimated base salary range for this role is $140,000 - $150,000 USD plus a generous pre-IPO equity package
Other benefits include comprehensive health coverage, 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.
