Top Remote Senior Level Product Manager Jobs in San Antonio, TX

Own the end-to-end roadmap for a 0-to-1 kids and family financial empowerment product, from discovery through launch and growth. Conduct market research, define user stories and journeys, collaborate with engineering, design, QA, and credit union partners, prioritize the backlog, analyze product metrics, and ensure compliance with regulations affecting financial products for minors.

Own multiple client product engagements from discovery through delivery, including AI agent development, greenfield product builds, legacy platform modernization, and AI-native enablement. Translate ambiguous needs into PRDs, roadmaps, success criteria, and sequenced work; partner with engineers on agent architecture, evaluations, and guardrails; manage stakeholders, scope, budgets, timelines, and ROI. Lead client presentations, workshops, steering committees, and internal delivery playbooks.

Lead the Asset Intelligence product area: define asset data foundation strategy, own roadmaps for one-to-two engineering pods, write PRDs, measure outcomes tied to revenue, prioritize portfolio investments, collaborate across engineering, data, design, sales and customers, and evaluate AI solutions to strengthen asset functionality and enterprise opportunities.

Lead product strategy and roadmaps for RevenueCat’s Funnels and Workflows products. Conduct customer research, identify adoption barriers, define product vision, develop growth-focused features, analyze metrics, and collaborate with engineering, design, data, and go-to-market teams to improve subscriber conversion, retention, and revenue.

Own product vision, strategy, roadmap, backlog, and execution for enterprise jobs and scheduling products. Conduct market and customer research, define metrics, guide UX, partner with engineering and design, coordinate launches, and optimize adoption through quantitative and qualitative feedback. Collaborate cross-functionally with marketing, sales, strategy, and operations while using AI tools and automation to improve team efficiency and product quality.

Lead onboarding and product discovery for utility customers: run and systematize onboarding, translate customer workflows into product requirements, prioritize features, write MRDs/PRDs/TRDs, coordinate cross-functional delivery, and create repeatable processes to turn pilots into scalable deployments.

Own the strategy, requirements, evaluation, and reliability of AI agent products. Partner closely with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, reliability, and user experience. Define offline and online evaluation frameworks, drive product execution, and ensure AI features are correct, predictable, safe, and trusted. Translate model capabilities and feedback into product decisions, roadmaps, and rapid iteration.

Lead the Data Sources product roadmap for document parsing, fraud detection, and bank aggregation. Drive metrics (parse accuracy, fraud catch rate, connection success, SLAs), write specs, engage clients, mentor PMs/engineers, and represent the platform externally. Prioritize document types, extraction models, reliability, and scalability to improve conversion, client satisfaction, and operational efficiency across mortgage, tenant screening, and government use cases.

Own a product area end-to-end for a secure defense engineering data platform: define success, build roadmaps, conduct customer research, write specs, work with senior engineers, and communicate with senior stakeholders to deliver coherent, secure products that move engineering models and simulations across classified and cross-corporate boundaries.

Own end-to-end onboarding for strategic enterprise customers, focusing on transforming and importing complex investment data. Advise on optimal data structures, negotiate scope/timelines with executives, escalate and resolve high-risk engagements, mentor junior onboarding managers, and build scalable AI-supported workflows and tooling to automate and improve onboarding processes.