Performance Marketing & Marketing Operations Manager driving paid media, HubSpot operations, and pipeline analytics. Supporting Appen’s AI training - data business and enterprise AI growth.
About the role
- Senior Marketing Operations Manager building marketing data pipelines and integrations for Homebase, an app helping small businesses manage hourly teams. Owning data quality, governance, and AI-enabled workflows.
Responsibilities
- Understand what data marketers need, where it lives, and identify gaps
- Serve as the front door for rapid marketing data delivery
- Build self-serve paths for segments and audiences
- Test implementations end to end with Lifecycle and Engineering
- Build and maintain data flows between product/data systems and marketing/ad tools including Iterable, Amplitude, Salesforce, Meta CAPI, Google Ads, and Apple Search Ads
- Manage 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 proactively catch issues
- Ensure attribution data is accurate without building the attribution model
- Own data governance and documentation, including definitions, naming, UTM standards, playbooks, and intake processes
- Serve as technical owner of the marketing stack
- Resolve lifecycle and advertising requests directly
- Implement tags for new channels and partners
- Own projects end to end and coordinate early Engineering input with Lifecycle
- Recommend simplifying redundant tools as the stack evolves
- Use AI for documentation, QA, anomaly detection, and workflow automation
- Work with Growth, Lifecycle, Analytics, Data Engineering, and Product
Requirements
- 5 to 8 years in marketing operations, marketing technology, go-to-market engineering, or marketing data roles
- Track record of building connectors, pipelines, or processes that make product and engineering data usable by marketing
- Strong SQL
- Comfort with APIs, webhooks, and event schemas
- Scripting in Python or JavaScript is a plus
- Experience across lifecycle and automation tools such as Iterable, Braze, Customer.io, HubSpot, or Marketo
- Experience with event or CDP tools such as Amplitude, Segment, or similar
- Experience with a data warehouse
- Familiarity with Salesforce
- Working knowledge of pixels, tags, UTMs, ad platform conversion APIs, and identity resolution
- AI fluency and ability to verify AI-generated results
- Ability to translate between technical and non-technical colleagues
- Self-starter able to improve a messy environment independently
- Paid acquisition data experience, Hotjar, AI search visibility tools such as Profound, and go-to-market engineering background are nice to have
Benefits
- Stock options
- TFSA/RRSP with 4% company match
- Comprehensive medical, dental, and vision coverage for you and your dependents
- Flexible PTO
- Company holidays
- Designated focus periods
- Paid AI tools with minimal restrictions
- Maternity/Parental Leave EI top-up support after 6 months of service
- Life insurance
- Short- and long-term disability coverage
- Work From Anywhere Month
- Meeting-free weeks yearly
- Meals provided
- Team offsites
- Customer Days
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