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Technical Project Manager Marketing

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Sia Experience
Full Time, Contract position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Digital Marketing
Salary/Wage Range or Industry Benchmark: 80 - 90 USD Hourly USD 80.00 90.00 HOUR
Job Description & How to Apply Below
Position: Technical Project Manager Marketing Contract

Job Description

Remote: (9-6pm PST hours)

Rate: $80-$90 an hour

Contract Length: 06/2026-12/2026

We are seeking an experienced Technical Project Manager with a strong marketing analytics foundation to lead execution of large-scale, high-impact marketing and projects. This role operates at the intersection of Marketing, Engineering, and Data Science, owning end-to-end campaign and project execution with a strong emphasis on operational rigor, technical excellence, and data-driven decision making.

Supporting multiple cross-functional development teams operating under a scrum methodology, this role is responsible for driving campaign launches, delivering centralized marketing performance reporting, maintaining roadmaps, and ensuring projects are delivered on time and aligned to business outcomes. The ideal candidate brings a marketing analytics background that enables them to not only manage projects but also meaningfully interpret performance data, partner with Decision Scientists, and translate insights into action, while communicating flawlessly with stakeholders at every level.

Key Responsibilities Project Management
  • Own end-to-end execution of technical marketing launches and road maps from intake and planning through launch, QA, and performance analysis.
  • Manage day-to-day project planning activities through team standups, project management tooling, and regular project meetings — proactively eliminating and mitigating risks and blockers.
  • Translate campaign and product objectives into detailed technical implementation plans, aligning stakeholders on requirements, dependencies, and execution approach.
  • Build and maintain detailed project plans and roadmaps outlining scope, timelines, and dependencies to ensure high-quality, on-time delivery.
  • Initiate, schedule, and conduct project meetings with engineers, decision scientists, business analysts, and product managers; capture notes and follow up on action items.
  • Collaborate with teams to create and drive roadmap and tactical activities against key project objectives, ensuring projects are added, prioritized, and removed as appropriate.
  • Maintain visual executive-level roadmaps reviewed on at least a monthly cadence.
Campaign Setup & Technical Execution
  • Own campaigns end-to-end, including hands-on configuration within internal tools (targeting, pacing, surface selection, asset uploads, etc.).
  • Support end-to-end delivery of marketing workflow application development initiatives, partnering with Software Engineering, Product Management, and Data Engineering teams to define requirements, track progress, and ensure technical builds align to marketing operational needs.
  • Drive campaigns through approval workflows and coordinate launches with Engineering and Marketing Data Science teams.
  • Ensure accurate implementation and validation of campaign tracking, telemetry, and measurement systems prior to launch.
  • Document campaign configurations, technical specs, and testing plans.
  • Identify and drive tooling enhancements and process improvements to increase speed to market and reduce operational friction.
Sprint Management & Agile Delivery
  • Create and update sprints with backlog; work with the team to groom the backlog and hold sprint reviews.
  • Facilitate retrospectives and ensure agendas are submitted for all team meetings.
  • Ensure all project tracking documents are created, kept up to date, and that work status is updated weekly with tasks broken out and dependencies tracked.
  • Partner closely with Marketing, Creative, Engineering, Product, and Data Science teams to drive execution alignment and launch readiness.
Quality Assurance & Optimization
  • Conduct QA to validate campaign setup, targeting accuracy, and delivery performance.
  • Monitor live campaigns and partner with data science teams to deploy optimization strategies.
  • Own bug intake and triage during testing and launch, working closely with Engineering to drive timely resolution.
Reporting & Continuous Improvement
  • Leverage campaign adoption metrics, survey data, and performance analysis to evaluate project impact; apply marketing analytics knowledge to identify meaningful patterns and opportunities.
  • Partner with Decision Scientists and…
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