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As a Senior 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: Stay ahead of emerging tech and foster a culture of experimentation, especially with AI
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 to oversee all aspects including: Ridewithvia.com development with component-based scalable system and account-based marketing (ABM) personalization, implement SEO and GEO strategies. Landing pages: Maintain an component-based scalable system to enable self-service for the wider team. Email templates and automations. Platform automation integrations, and secure provisioning
Manage and optimize our integrated set of tools, including: B2B platforms: HubSpot, Salesforce. B2C comms: Braze. Analytics: Google Analytics, Google Data Studio. Other tools: Zapier, Google Tag Manager, Weglot (translation), OneTrust (compliance), AppsFlyer, Zoom (webinar)
Contributing to the foundational data strategy for marketing, ensuring data from disparate systems is structured, harmonized, and governed to create a single source of truth
Facilitate AI experiments based on accurate data, that eventually make a difference at scale
Enable accurate end-to-end measurement and reporting
Requirements:
Builder & prototyper mindset: You have 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. Strong emotional intelligence and sound judgment
Growth mindset: Take feedback onboard and proactively push beyond your comfort zone to progress
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: You include generative tools in your workflow, and try prototypes with the ongoing stream of new tech landing on the market
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