Principal Product Manager

Define the strategic roadmap for our platform initiatives, aligning them with the overall business and product goals. Collaborate with stakeholders to identify and prioritize key platform features and enhancements Define project scopes, goals, and deliverables, and ensure they are effectively communicated to

the team members and stakeholders. Drive the execution of multiple complex projects simultaneously, while ensuring adherence to quality standards and timelines. Work closely with engineering, data science, and product teams to define technical

requirements and ensure alignment between platform capabilities and business needs. Serve as a point of contact for internal stakeholders, addressing their concerns, providing regular updates, and managing expectations. Demonstrate deep technical knowledge and understanding of the platform, algorithms, and infrastructure needed for the product. Bachelor's Degree AND 10+ years experience in product/service/program management or software development These

requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Experience leading product design and technical strategy for software or service products. Shipped large-scale enterprise software or cloud services, including platform architecture used by many internal or external teams. Hands-on experience with AI/ML evaluation: metric design, model-based judging, dataset curation and synthetic data, offline and online experimentation, and responsible AI practices. Experience with test and data infrastructure at scale, such as test environments, data pipelines, telemetry and results analytics. Proven ability to lead through influence across organizational boundaries, build lasting and trusted relationships with partner teams, and bring clarity to shared goals and dependencies. Ability to innovate at the platform level and carry integrated, end-to-end solutions through to shipping. Solid problem solving and drive for results. A self-starter who spots problems early, proposes solutions and gets the right teams moving on them. Experience mentoring PMs and engineers and growing technical leaders.