Marketing Operations & Technology Manager
Confirmed live in the last 24 hours
Fivetran
Compensation
$150,573 - $188,216/year
Job Description
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Marketing Operations & Technology Manager to architect and scale the systems that power our marketing engine.
This role sits on the Marketing Operations Team at the intersection of Marketing, Revenue Operations, Systems Engineering, and Analytics. You will own the strategy, architecture, and execution of our marketing technology ecosystem—driving performance across demand generation, lifecycle, attribution, experimentation, and analytics. You’ll ensure our systems are integrated, our data is trusted, and our infrastructure scales with predictable growth.
This is a hands-on, high-impact role for someone who enjoys building, optimizing, and solving complex technical challenges in a fast-moving environment.
This is a full-time, hybrid position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Marketo, Salesforce, Demandbase, Drift/Chat, Bizible, LeanData, Looker, and related enrichment and AI tools.
What You’ll Do
- Own and evolve the end-to-end marketing and revenue technology ecosystem, ensuring scalability, performance, and cross-system alignment
- Architect and maintain integrations and data pipelines across Marketo, Salesforce, enrichment tools, engagement platforms, and warehouse layers
- Advance practical AI applications using OpenAI and Claude across marketing operations, automating workflows and enabling smarter segmentation, orchestration, insights generation, and predictive use cases
- Design and optimize lead lifecycle infrastructure, including routing, scoring, enrichment, segmentation, and orchestration, to improve speed-to-lead and pipeline velocity
- Operationalize lifecycle and demand programs at scale, enabling experimentation, personalization, audience activation, and measurable performance across channels
- Build and maintain attribution, experimentation, and reporting frameworks that deliver actionable insights from first touch through revenue
- Establish strong data governance and observability practices, proactively identifying and resolving system issues to increase reliability and stakeholder trust
- Translate marketing and GTM requirements into scalable technical solutions that balance speed, flexibility, and long-term maintainability
- Evaluate, implement, and optimize marketing technologies as our go-to-market strategy evolves
- Create docum
