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Canals

Marketing Data Ops Specialist

Sorry, this job was removed at 08:09 p.m. (EST) on Friday, Jan 02, 2026
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In-Office
New York, NY, USA
In-Office
New York, NY, USA

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About Canals

Canals is a fully remote, profitable startup transforming the industrial supply chain ($10T industry) with AI. Our platform seamlessly integrates with the systems distributors already use, automating tedious tasks and reducing failure points in moving physical goods across the globe.

We’re a 70-person team (~45 in engineering), located across North and South America.

The Role

The Marketing Data Ops Specialist will play a key role in the efficient operation of the entire marketing team, from events to email campaigns, product launches, and strategic decisions. As our marketing team and activities grow, we’re looking for someone to take ownership of the data we need to run targeted programs and track their effectiveness, ensuring it is clean, complete, and up-to-date. In addition, this role will support reporting and analysis for the broader go-to-market team, including Sales and Customer Success.

The ideal candidate combines technical execution with strategic thinking to plan for measurement and analysis needs. If you love drilling into the data, ensuring the CRM stays clean, and optimizing processes, this could be the role for you.

What You'll Do
  • Own the marketing data strategy and tech stack to enable targeted, personalized campaigns and performance reporting, balancing data requirements and efficiency

  • Gather, clean, enrich, and integrate data from multiple sources (databases, spreadsheets, analytics tools, ad platforms, etc.) into Hubspot, ensuring accuracy and consistency

  • Set up and manage the flow of data between Hubspot and other tools, e.g., sales automation, ABM platforms, for timely action

  • Research, vet, and manage data sources and tools to support programmatic campaign ideas and improve efficiency

  • Identify relevant trends and performance drivers, support the measurement of campaigns and experiments, and provide recommendations to improve results

  • Provide analysis to inform strategic projects, such as TAM identification and segmentation, sales territory creation, and pipeline modeling

  • Maintain CRM data hygiene, workflow automations, and reporting dashboards for marketing and sales

What You'll Bring
  • Typically, 3+ years of experience in data management, marketing/revenue operations, or a related field, preferably at a B2B SaaS early-stage startup

  • Expert, hands-on proficiency in Hubspot CRM, automation and reporting tools

  • Working familiarity with technical integration options, e.g., APIs, webhooks, and demonstrated collaboration with Engineering teams on integrations and automation

  • Curious, structured, and proactive thinker who thrives on bringing order to complexity and enabling data-driven marketing at scale

  • Strong analytical and problem-solving abilities, with a keen eye for detail

  • Proven ability to work collaboratively in a fast-paced, dynamic environment

Why Join Canals
  • We're profitable: stability without the chaos of venture pivots.

  • Real-world impact: your work improves global supply chains, saving customers time and reducing waste.

  • Strong engineering culture: we invest in quality and documentation to keep moving fast sustainably.

  • Culture of ownership: moving fast while putting quality first

  • Remote-first, flexible work environment across North and South America.

  • Stellar product-market fit with tons of customer love

  • All star team with diverse backgrounds to collaborate with and learn from

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.

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