Top Tech Jobs & Startup Jobs in Seattle, WA

As the Lead Principal Technical Program Manager, you will lead critical company-wide initiatives, define long-term strategies, and translate product requirements into technical solutions. This role involves collaborating with engineering teams, managing complex projects, and ensuring successful execution of the roadmap while addressing challenges proactively.

The Head of Technical Program Management at Atlassian will analyze business objectives and customer needs, define roadmaps, manage cross-divisional projects, and ensure the implementation of technical requirements in collaboration with engineering teams. This role also involves driving the adoption of solutions across Atlassian products and identifying opportunities for improvement.

As a Principal Technical Program Manager focused on Security, you'll analyze security needs, define a long-term strategy, translate requirements into technical solutions, and lead cross-divisional projects to drive adoption of security solutions. You will collaborate with various teams to manage dependencies and optimize outcomes for Atlassian products.

As Head of Technical Program Management for PaaS, you will lead the team in analyzing and shaping the network and compute platform strategy, drive execution of technical programs, and ensure alignment with engineering goals. The role emphasizes ownership and leadership in project execution across teams while fostering team development and driving platform adoption.

In this role, you will lead the development and deployment of machine learning algorithms, train complex models, and collaborate with various engineering teams to integrate AI functionalities into Atlassian products. You'll also be involved in designing system architectures and mentoring other ML engineers while ensuring efficient AI innovation across the company's platforms.

The Senior FP&A Analyst will be responsible for financial planning, forecasting, and reporting to support decision-making and business performance. They will collaborate with teams for data gathering, optimize financial processes, and assist in ad-hoc analysis to improve operational efficiency for G&A.

As a Senior Machine Learning Engineering Manager, you will oversee the end-to-end machine learning lifecycle, mentor the team, research and implement advanced machine learning techniques, and collaborate with various stakeholders to enhance machine learning models and drive business impact.