Revenue Technology Architect; Marketing Systems in Denver
Listed on 2026-06-03
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IT/Tech
Data Analyst, Data Security
Job Description Job Description Description Propeller is on a mission to take the guesswork out of moving dirt - reducing wasted fuel, time, and money. We do this through the power of maps. Our customers use Propeller’s integrated hardware and software products to capture accurate 3D versions of their worksites. With over 50,000 worksites worldwide using Propeller’s smart survey technology, we empower project teams to map, measure, and manage site activity.
Propeller empowers everyone to approach, own, and solve problems creatively. We’re data nerds who care about impact, honesty, and each other. We take pride in being a great place to work. We are proud to be recipients of BI Group's Excellence in Customer Experience award and Inspiring Workplaces of Australasia, being recognized as a Fast Company and Built In Best Place to Work.
You can learn more about us on Glassdoor.
We are hiring our first dedicated Revenue Technology Architect, Marketing, to own the technical foundation that connects marketing activity to revenue outcomes. This is not a campaign execution role and not a basic CRM administration position. You will design and scale the systems architecture, lifecycle frameworks, data models, and attribution structure that power predictable growth. You will work closely with Sales, Finance, and Marketing to ensure automation, reporting, and database governance directly support pipeline creation, velocity, and revenue realization.
If you think in terms of infrastructure, integrations, and measurable business impact rather than just building workflows, this role is for you.
- Architect scalable, event-driven, multi-channel journeys that respond dynamically to behavioral signals, lifecycle changes, and custom object data
- Design and maintain lifecycle automation frameworks aligned with Sales processes, SLAs, routing logic, and forecasting visibility
- Build complex, multi-step workflows incorporating conditional logic, enrichment layers, AI-driven decision steps, branching logic, and error handling
- Establish automation governance standards to prevent workflow sprawl and ensure long-term scalability
- Partner with fellow Rev Ops to ensure marketing automation aligns with CRM object structure and revenue reporting
- Design and maintain multi-touch attribution models aligned with Finance definitions of pipeline and ARR
- Build closed-loop reporting that connects marketing touchpoints to opportunity creation, stage progression, expansion, and revenue realization
- Define and enforce lifecycle stage criteria using explicit data rules across systems
- Develop dashboards that surface leading indicators such as funnel velocity, lifecycle conversion performance, and segment-level effectiveness
- Standardize campaign hierarchy, source tracking, and object relationships to support accurate reporting
- Own CRM and marketing automation data schema governance including custom objects, field normalization, deduplication logic, and lifecycle auditing
- Design segmentation frameworks that balance precision targeting with global consent requirements
- Implement automated monitoring for database health, attribution gaps, lifecycle leakage, and routing accuracy
- Partner with Legal and IT to ensure scalable compliance with global privacy regulations including GDPR
- Funnel velocity and lifecycle stage conversion performance
- Marketing-sourced and marketing-influenced pipeline contribution
- Multi-touch attribution accuracy and campaign ROI visibility
- Database health and compliance indicators
- Marketing-to-Sales SLA adherence and lead routing performance
- 2+ years in a Marketing Operations or Revenue Operations role with ownership of automation architecture and cross-system integrations
- Proven experience designing complex automation frameworks that leverage conditional logic, enrichment data, and cross-platform triggers
- Hands-on experience building integrations using APIs, webhooks, middleware platforms such as Zapier or N8N, and integration tools such as Operations Hub
- Strong understanding of CRM data modeling including object relationships, schema design, lifecycle governance, and field standardization
- Experience…
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