Top Remote Senior Level Product Manager Jobs in Los Angeles, CA

The Sr. Revenue Tools Product Manager will drive the vision, roadmap, and user experience for core Go-To-Market tools, lead user research, oversee feature execution, and ensure successful tool adoption and iterative improvements.

The Senior Product Manager will lead market entry for Runpod Anywhere, focusing on strategy, product development, and customer engagement while ensuring alignment across teams and measuring success.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

The Senior Manager will drive GTM strategy for the Services vertical, focusing on growth opportunities and aligning product roadmaps with seller feedback to accelerate revenue performance.

The Principal Product Specialist will lead technical initiatives for Zscaler's Zero Trust Browser solutions, driving product success and providing support throughout the sales cycle while collaborating with various teams to ensure customer success.

The Principal Product Manager, Growth will drive product strategies to enhance homeowner acquisition through innovative self-serve tools and cross-functional collaboration, focusing on growth levers and AI integration.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Lead day-to-day product management for drinkware, owning product specs, consumer research, competitive analysis, and sales performance. Partner cross-functionally with engineering, marketing, testing, and quality to drive product improvements, testing procedures, and rollout. Prioritize roadmap decisions, recommend new opportunities, and act as category expert to maintain a 5-star consumer experience.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.