Top Product Manager Jobs
As a Senior Product Manager, you will collaborate with customers, design, and engineering teams to develop valuable features for Procore’s construction management software. Your role involves understanding industry challenges, employing data analysis, and ensuring product vision alignment across teams.
As a Founding Product Manager at Sift, you will guide product strategy, develop roadmaps, and ensure alignment with customer needs. You will work closely with various teams to facilitate the product development lifecycle from ideation to launch while performing market research and establishing relationships with customers to validate product strategies.
The Product Specialist will lead material sourcing and selection, analyze industry trends, support product development, and ensure quality assurance in home construction. Collaborative cross-department engagement and strong vendor management are key responsibilities.
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The Senior Product Manager will lead the product development for an enterprise solution at AXS, collaborating with cross-functional teams to drive product strategy, execution, and improvements. Responsibilities include managing the product roadmap, defining requirements, tracking product performance, and communicating with stakeholders.
The Software Product Manager on the Technology team is responsible for prioritizing features, coordinating projects, creating mock-ups, and implementing training on new software updates.
The Senior Product Analyst will evaluate product changes through experimental design, conduct A/B tests, identify anomalies in key metrics, propose growth hypotheses, and maintain product dashboards.
The Lead Product Manager will drive the development of digital identity products at CLEAR, collaborating with design and engineering teams, managing the product roadmap, and ensuring alignment with company goals. The role involves market analysis, stakeholder engagement, and measuring success through data-driven metrics.
Lead the technical product function within FIS Digital, managing a global team of product owners and improving operating metrics. Drive innovation in the Digital SDLC, ensuring consistent processes across all business units and creating a logical framework for cross-department dependency management.
The Product Specialist is responsible for executing sales strategy and collaboration with Business Units. Key tasks include managing product distribution, ensuring product alignment with market needs, developing marketing messaging, and supporting sales activities and GTM strategies. They engage with stakeholders and leverage industry expertise to drive sales performance.
Senior Product Manager role at FIS working on the US product roadmap for the FIS Post Trade Processing Platform. Responsibilities include managing product roadmap, collaborating with various teams, performing analysis, working with development and QA teams, and more. Ideal candidate has knowledge of US financial operations, expertise in specific areas, relevant system experience, and strong communication and problem-solving skills.
The Senior Product Manager will develop an understanding of datacenter workloads, especially for Large Language Models, address customer needs, and create product proposals. They will work cross-functionally to develop go-to-market plans and collaborate with sales teams for product positioning and collateral.
The Technical Product Manager will define and release SDKs and software for sensor simulation services used in autonomous vehicle development. This role involves collaboration with partners to build models and integrate applications, while tackling challenges in simulation fidelity and validation.
The Technical Product Manager for CUDA Python will define the vision and strategy for integrating Python with the CUDA platform, collaborating with internal teams and the open-source community to improve GPU programming for developers. Responsibilities include market analysis, product roadmap creation, and go-to-market strategy development.
The Principal Product Manager, AI Data will guide the development of data capabilities for deep learning and generative AI, managing stakeholder collaborations and overseeing data ingestion for AI/ML workloads, all while driving effective project management and strategic decision-making.
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