Staff Engineer - Data & Marketing Technology

Via•New York City, NY

About The Position

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners in 30+ countries, Via is recognized as the leading transportation technology and service provider for governments. This is the beginning of a new era: Via has grown from a startup to a public company and is listed in New York Stock Exchange (NYSE: VIA). 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.

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: Design team, wider marketing department, commercial team, exec team, product team. Ability to understand other people’s goals & constraints.
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: nothing slips through the cracks on your watch.
Comfortable working with ambiguity, juggling multiple priorities, and adapting on the fly.
Unflappable under pressure: you stay calm, clear-headed, and focused when the stakes are high.
Curious, proactive, and solution-oriented: you’re always two steps ahead.
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.

Nice To Haves

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.

Responsibilities

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 (we do have a salesforce owner - this role will be collaborative). 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.