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As a Staff Engineer - Data & Marketing Technology, you’ll serve as the strategic and technical leader of our complete marketing technology ecosystem. The impact of this role is huge, as the marketing team supports multiple audiences: B2G (thousands of transit decision makers), B2C (hundreds of services), Investors (Via is a public company), and internal (1000+ colleagues). This is a hands-on, operational and strategic role focused on translating marketing goals into reality: designing, building, measuring success, scaling and optimizing the systems that power Via’s marketing engine.
Job Responsibility:
Build internal tools and enable the team to do so
Promote best practices in the use of our technology stack
Evaluate suitable technology partners
Champion collaborative, hands-on upskilling
Serve as the tech owner for Via’s CRM (HubSpot) and collaborate with internal specialists
Manage and optimize our integrated set of tools
Contributing to the foundational data strategy for marketing
Facilitate AI experiments based on accurate data
Enable accurate end-to-end measurement and reporting
Requirements:
Builder & prototyper mindset: side projects, build your own tools and experiments
Team player: collaborative, ability to work with other engineers and other disciplines across the organization
Communication: ability to present to a non-technical audience and advocate for excellence
Growth mindset: take feedback onboard and proactively push beyond your comfort zone
Highly organized and detail-oriented
Comfortable working with ambiguity, juggling multiple priorities, and adapting on the fly
Unflappable under pressure
Curious, proactive, and solution-oriented
Hands-on experience in architecting and managing a complex MarTech stack (HubSpot and HubL, Salesforce, and Braze experience welcomed)
Web dev experience (JavaScript, React, HTML, CSS)
Strong understanding of data engineering concepts: ETL/ELT, data warehouses, identity resolution, event tracking, attribution
AI: include generative tools in your workflow, and try prototypes with the ongoing stream of new tech
Experience with GA4, Segment, SQL, Looker/Tableau, or similar tools is welcome
Experience in tech, start ups or fast-paced in-house environments is welcome