Senior Martech Engineer

Owner.com

1d • $140,000 - $150,000 • Remote

About The Position

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.

Requirements

• 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
• 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

Nice To Haves

• 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

Responsibilities

• 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
• 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
• 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
• 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
• 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

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed