Project Manager (Apps)

Description
We’re hiring a Senior Project Manager to run delivery across Mobile Apps, Web Platforms, and W2W/W2A projects. You will coordinate multiple small teams (development, product, creatives, UA, PMM, analytics), introduce a clear operating cadence, and ensure end-to-end transparency on priorities, ownership, timelines, dependencies, and risks. The goal is predictable execution with lightweight, practical processes.

Mission

Create clear, predictable delivery across multiple small teams by setting up lightweight processes, a shared cadence, and full transparency.

Requirements

- 3–5+ years as Project/Program/Delivery Manager in a product company (Web/Mobile).
- Strong cross-functional coordination (product, development, analytics, UA/marketing, creatives).
- Practical Agile/Kanban/Scrum experience (pragmatic, lightweight).
- Tools: Jira (or similar), Confluence, dashboards/reporting.
- Strong written communication (clear updates, decisions, action items).

Responsibilities
- Build and run delivery pipelines: intake → prioritization → execution → release → review.
- Establish core rituals: weekly planning/prioritization, regular status/risk review, retrospectives.
- Maintain a single source of truth (board/roadmap) with owners, milestones, dependencies, deadlines.
- Proactively manage dependencies, risks, and blockers; drive decisions and trade-offs.
- Coordinate marketing and UA experimentation end-to-end (planning, hypotheses, asset readiness, launch timelines, measurement, learnings).
- Align creatives, PMM, UA, analytics, and product/development to ensure experiments ship and results are captured.
- Produce concise stakeholder communication (weekly status, risks, decisions needed).
- Standardize templates/checklists: Definition of Ready/Done, release readiness, decision log.

Nice to have
- Experience coordinating UA and marketing experimentation programs (hypotheses, asset pipelines, launch calendars, learnings).
- Experience in ad-tech / growth environments with frequent iterations and fast feedback loops.
- Experience working with analytics and data engineering teams.