Technical Project Manager

June 9, 2026
Application ends: September 7, 2026

Job Description

REQUIREMENTS

  • 4+ years of project or program management experience within software development organizations.
  • Experience managing technical projects involving data platforms, analytics systems, data warehouses, or large-scale backend systems.
  • Strong understanding of data pipelines, ETL/ELT processes, data architecture concepts, and analytics ecosystems.
  • Proven ability to manage multiple projects and competing priorities simultaneously.
  • Experience working in Agile software development environments.
  • Exceptional communication, stakeholder management, and organizational skills.
  • Demonstrated ability to drive projects from concept through production release.

Preferred

  • Experience supporting AdTech, MarTech, digital advertising, or data-driven technology organizations.
  • Familiarity with modern cloud data platforms and data warehouse technologies.
  • Experience partnering with data engineering, analytics engineering, or business intelligence teams.
  • Background managing platform modernization or data infrastructure initiatives.
  • Experience supporting product launches and go-to-market readiness activities.

RESPONSIBILITIES

  • Lead end-to-end delivery of data platform and analytics initiatives across multiple engineering teams.
  • Manage project roadmaps, priorities, dependencies, risks, and timelines to ensure successful software delivery.
  • Coordinate work across three data-focused engineering teams, overseeing multiple concurrent projects and backlog-driven initiatives.
  • Partner with Engineering, Product, Analytics, and Product Marketing stakeholders to align on priorities and delivery objectives.
  • Facilitate sprint planning, backlog refinement, release planning, and cross-functional status reviews.
  • Drive execution of backend data system development efforts, including data pipelines, data integration initiatives, and data warehouse enhancements.
  • Monitor project health using data-driven metrics and reporting to identify risks and improve delivery outcomes.
  • Translate technical concepts and project status updates into clear communications for both technical and non-technical stakeholders.
  • Ensure alignment between product strategy, technical implementation, and go-to-market objectives.
  • Remove delivery obstacles and proactively manage dependencies across teams.

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