Senior Marketing Operations Manager
Homebase
As our Senior Marketing Operations Manager, you will make sure marketers get the data they need quickly and reliably, in a form they can use
You will work daily with Growth, Lifecycle, Analytics, Data Engineering, and Product, and you will be someone both marketers and engineers want to work with
This is a hands‑on, technical role for a builder who is comfortable with integration work and uses AI to change how work gets done
Understand what data every marketer needs, where it lives, and where the gaps are, and be the front door for getting it delivered quickly
Build self‑serve paths for common needs such as segments and audiences, and test implementations end to end with Lifecycle and Engineering
Build and maintain data flows between our product and data systems and our marketing and ad tools (Iterable, Amplitude, Salesforce, Meta CAPI, Google Ads, Apple Search Ads), including conversion signal quality, identity resolution, and deduplication
Partner with RevOps on Salesforce, sending marketing data in and bringing key events back
Monitor key data flows and catch problems before marketers do. Make sure the data feeding attribution is accurate. You will not build the attribution model
Own data governance and documentation: definitions, naming, UTM standards, playbooks, and intake processes
Serve as technical owner of the marketing stack, resolve lifecycle and advertising requests directly, and implement tags for new channels and partners
Own projects end to end, plan ahead with Lifecycle so Engineering inputs are identified early, and recommend simplifying redundant tools as our stack evolves
Use AI for documentation, QA, anomaly detection, and workflow automation
Benefits
Stock Options
Paid parental leave
Generous paid time off options
Offsites, customer days & social events
Work from Anywhere Month
Medical, dental, and vision insurance
401(k) matching program
Pre-tax commuter benefits
Snacks + lunch on us at hub offices
MasterClass at Work for ongoing learning
Group health benefits coverage
Group RRSP with employer match + TFSA
Snacks + lunch on us at hub offices
MasterClass at Work for ongoing learning
AI fluency: you use AI in real work, or can clearly describe how you would apply it and verify the result5 to 8 years in marketing operations, marketing technology, go-to-market engineering, or marketing data rolesWorking knowledge of pixels, tags, UTMs, ad platform conversion APIs, and identity resolutionRange across lifecycle and automation tools (for example Iterable, Braze, Customer.Io, HubSpot, or Marketo), event or CDP tools (Amplitude, Segment, or similar), and a data warehouse. We value breadth over deep expertise in a single vendor. Familiarity with SalesforceA track record of building the connectors, pipelines, or processes that make product and engineering data usable by marketingA self-starter who has inherited a messy environment, made a plan, and executed without waiting to be told what to doStrong SQL and comfort with APIs, webhooks, and event schemas. Scripting (Python or JavaScript) is a plusA strong collaborator who can translate between technical and non-technical colleagues, and who builds trust with bothNice to have: paid acquisition data experience, exposure to Hotjar or AI search visibility tools such as Profound, and a go-to-market engineering backgroundExperience comes in many forms—so if you’re excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!
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You will work daily with Growth, Lifecycle, Analytics, Data Engineering, and Product, and you will be someone both marketers and engineers want to work with
This is a hands‑on, technical role for a builder who is comfortable with integration work and uses AI to change how work gets done
Understand what data every marketer needs, where it lives, and where the gaps are, and be the front door for getting it delivered quickly
Build self‑serve paths for common needs such as segments and audiences, and test implementations end to end with Lifecycle and Engineering
Build and maintain data flows between our product and data systems and our marketing and ad tools (Iterable, Amplitude, Salesforce, Meta CAPI, Google Ads, Apple Search Ads), including conversion signal quality, identity resolution, and deduplication
Partner with RevOps on Salesforce, sending marketing data in and bringing key events back
Monitor key data flows and catch problems before marketers do. Make sure the data feeding attribution is accurate. You will not build the attribution model
Own data governance and documentation: definitions, naming, UTM standards, playbooks, and intake processes
Serve as technical owner of the marketing stack, resolve lifecycle and advertising requests directly, and implement tags for new channels and partners
Own projects end to end, plan ahead with Lifecycle so Engineering inputs are identified early, and recommend simplifying redundant tools as our stack evolves
Use AI for documentation, QA, anomaly detection, and workflow automation
Benefits
Stock Options
Paid parental leave
Generous paid time off options
Offsites, customer days & social events
Work from Anywhere Month
Medical, dental, and vision insurance
401(k) matching program
Pre-tax commuter benefits
Snacks + lunch on us at hub offices
MasterClass at Work for ongoing learning
Group health benefits coverage
Group RRSP with employer match + TFSA
Snacks + lunch on us at hub offices
MasterClass at Work for ongoing learning
AI fluency: you use AI in real work, or can clearly describe how you would apply it and verify the result5 to 8 years in marketing operations, marketing technology, go-to-market engineering, or marketing data rolesWorking knowledge of pixels, tags, UTMs, ad platform conversion APIs, and identity resolutionRange across lifecycle and automation tools (for example Iterable, Braze, Customer.Io, HubSpot, or Marketo), event or CDP tools (Amplitude, Segment, or similar), and a data warehouse. We value breadth over deep expertise in a single vendor. Familiarity with SalesforceA track record of building the connectors, pipelines, or processes that make product and engineering data usable by marketingA self-starter who has inherited a messy environment, made a plan, and executed without waiting to be told what to doStrong SQL and comfort with APIs, webhooks, and event schemas. Scripting (Python or JavaScript) is a plusA strong collaborator who can translate between technical and non-technical colleagues, and who builds trust with bothNice to have: paid acquisition data experience, exposure to Hotjar or AI search visibility tools such as Profound, and a go-to-market engineering backgroundExperience comes in many forms—so if you’re excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!
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