Senior Martech Engineer

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. Read our Series C memo here → 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 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. 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 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. #J-18808-Ljbffr Owner.com