Ookla® is 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 stakeholdersAlign priorities across teams with Agile Coaches and Product ManagersFacilitate standups, refinement, planning, and roadmap estimation meetingsLead project status meetings to track progress, identify roadblocks, and manage risksBuild and maintain clear and consistent communication through status reports and Jira Dashboards Contribute to the Project Management Standards of ExcellenceProvide project visibility to Sales, Executives, and other stakeholdersDevelop and manage Jira Plans, including timelines, dependencies, and Product Marketing deliverablesConduct regular project reviews, gather feedback, and ensure timely follow-upsDrive continuous improvement across project management processesAttend cross-functional meetings and communicate changes, risks, or blockers effectivelyExpectations for Success:Project plans are aligned with the company roadmap, with well-defined milestonesDelivery timelines and risks are proactively managed and communicatedJira is used effectively to visualize and track project progressTeams are supported and unblocked, with issues resolved or escalated promptlyExecutive 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 projectsProficiency in Jira, Jira Advanced Roadmaps, Confluence, and Google WorkspaceHighly proficient at building Jira DashboardsStrong skills in Google SheetsWorked in both Agile and Waterfall project methodologiesProven track record in end-to-end software project deliveryPMP or equivalent certification (preferred)Bachelor’s degree in Business, Engineering, or professional work experience in related fieldsIndustry experience in Telecommunications and customer engagement lifecyclesJira administration experience (preferred)Understanding of internet, cellular, broadband, or telecom technologiesFundamentals in database technologies, data pipelines, relationships between dimensions and how they interact with each otherBaseline understanding about data ingestion Basic understanding of large-scale implementations of AWS infrastructure, Redshift, Athena and other technologies