Ooklais a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest, Downdetector, RootMetrics, and Ekahau. Ookla’s complementary datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights — helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.
Our team is a group of people brought together through passion and inspired by possibility. We are looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all.
The ideal candidate has successfully led and independently owned the lifecycle of a highly complex enterprise-level software project focused on delivering data collection, data pipelines, including data lake and production-ready data sets. You will be responsible for ensuring timely and successful delivery using technical project management best practices. You act as the point person for multiple projects to ensure visibility, accountability and deliverables are communicated to Sales, Executives and other stakeholders. You have deep experience communicating high-level statuses to Executives and highly-detailed work items with Engineering and Product Managers. You are a detail-oriented person with exceptional communication, analytical and abstract thinking skills. You work well with others and are able to “influence without authority” in order to successfully deliver multiple projects on time.
You will work cross-functionally with teams in the USA, Dublin, and Helsinki, collaborating with Product, Data Science, and Engineering to ensure projects are scoped accurately, dependencies are tracked, and deliverables are met on time.
What You'll Do:
Define project scope, objectives, and deliverables with stakeholders
Align priorities across teams with Agile Coaches and Product Managers
Facilitate standups, refinement, planning, and roadmap estimation meetings
Lead project status meetings to track progress, identify roadblocks, and manage risks
Build and maintain clear and consistent communication through status reports and Jira Dashboards
Contribute to the Project Management Standards of Excellence
Provide project visibility to Sales, Executives, and other stakeholders
Develop and manage Jira Plans, including timelines, dependencies, and Product Marketing deliverables
Conduct regular project reviews, gather feedback, and ensure timely follow-ups
Drive continuous improvement across project management processes
Attend cross-functional meetings and communicate changes, risks, or blockers effectively
Expectations for Success:
Project plans are aligned with the company roadmap, with well-defined milestones
Delivery timelines and risks are proactively managed and communicated
Jira is used effectively to visualize and track project progress
Teams are supported and unblocked, with issues resolved or escalated promptly
Executive and team-level stakeholders stay informed through clear reporting and updates
Requirements:
We care more about your capability and experience than checking every box. If you’ve managed similar challenges, we want to hear from you.
3-5 years of experience managing enterprise-level software projects
Proficiency in Jira, Jira Advanced Roadmaps, Confluence, and Google Workspace
Highly proficient at building Jira Dashboards
Strong skills in Google Sheets
Worked in both Agile and Waterfall project methodologies
Proven track record in end-to-end software project delivery
PMP or equivalent certification (preferred)
Bachelor’s degree in Business, Engineering, or professional work experience in related fields
Industry experience in Telecommunications and customer engagement lifecycles
Jira administration experience (preferred)
Understanding of internet, cellular, broadband, or telecom technologies
Fundamentals in database technologies, data pipelines, relationships between dimensions and how they interact with each other
Baseline understanding about data ingestion
Basic understanding of large-scale implementations of AWS infrastructure, Redshift, Athena and other technologies
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