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Staff Engineer - Data & Marketing Technology

United States, New York 150000.00 - 200000.00 USD / Year · Job Posted January 04, 2026
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Job Description

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

What we offer

  • free medical plans
  • 401K matching

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