Top Remote Product Manager Jobs in Dallas, TX

Own product areas for an AI-powered neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvements.

Own TLDR’s Applied AI product function, triaging requests, translating business problems into build-ready specifications, redesigning processes into agentic workflows, and managing the roadmap and lifecycle of internal command centers and tools. The role partners with strategy, operations, and AI engineering teams, prioritizes automation opportunities, drives adoption, and helps shift company work from manual processes to AI-enabled workflows.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; analyze feedback and performance; and continuously iterate while balancing speed, user experience, business impact, compliance, and operational complexity.

Owns the strategy, roadmap, development, and adoption of financial data products and APIs. Partners with data science and engineering to integrate predictive and machine-learning models into scalable, trustworthy capabilities. Defines quality metrics, requirements, documentation, and support models while ensuring privacy, security, regulatory compliance, and downstream adoption across consumer and business banking products.

Own product areas within BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate based on data, research, feedback, and production issues. Balance speed, user experience, business impact, compliance, and operational complexity.

Own multi-year product vision and roadmap for Coinbase's core cloud infrastructure and reliability. Define SLOs, capacity planning, failover, and incident reduction targets; evaluate and adopt technologies (Kubernetes, service mesh, IaC, observability); build self-serve platform capabilities; partner with Engineering, SRE, Security, and Finance to optimize cost, compliance, and performance; translate infrastructure metrics into executive investment cases.

Own the internal AI enablement product experience across Finance, RevOps, People, Recruiting, Customer Success, Marketing, and Legal. Map workflows, identify high-value automation opportunities, build and ship agentic tools, establish evaluation and production processes, measure adoption and ROI, and drive responsible adoption through workshops, onboarding, office hours, and coaching.

Own product areas within AI Investing and related financial services, defining user problems, product direction, roadmaps, metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use data and feedback to drive iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Manage the Ads product and platform lifecycle, define AI strategies, drive measurement and insights, and lead a PM team for performance marketing.

Own the vision, architecture, roadmap, and execution of AI Teams for enterprise spend management. Design reliable, explainable agent workflows for invoice matching, vendor onboarding, contracts, disputes, and payments. Partner with engineering, data science, UX, and go-to-market teams to build evaluation, observability, training, and feedback systems. Lead customer discovery and technical discussions with Fortune 100 executives, while producing product documentation and demonstrations.

Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to iterate rapidly after launch.

Lead Ads product strategy and roadmap, integrate paid media with CRM, partner with AI teams for intelligent campaign features, navigate ad-platform APIs and privacy constraints, use data-driven decision-making, and drive cross-functional execution from concept through launch to connect ad spend to revenue.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.

Own the strategy, roadmap, and measurable outcomes for clinical efficiency in a pediatric virtual urgent-care business. Analyze clinician workflows and operational data, build cost-impact models, prioritize initiatives, and partner with clinical, operations, and engineering teams to deliver improvements. Apply AI responsibly to triage, documentation, communication, and workflow tooling while balancing efficiency, quality, safety, and clinician experience.

Lead product strategy for strategic integrations across Employer Services and the HR technology ecosystem. Evaluate build, partner, integrate, and co-create opportunities; develop business cases, roadmaps, and success measures; and guide discovery through execution and market adoption. The role requires collaboration with partnerships, technical teams, clients, and leadership to shape scalable connections across HCM, payroll, and related systems while assessing AI opportunities and technical tradeoffs.

Own product strategy and complex cross-surface initiatives for Bolt.new, from problem diagnosis through launch. Drive prioritization using customer insight, product quality, business impact, technical feasibility, and metrics including activation, engagement, retention, and expansion. Lead discovery, cross-functional alignment, product quality, and written product thinking. This senior individual contributor role requires strong product judgment, product-led growth expertise, technical fluency, ownership, and excellent English communication.

Own strategy and execution for core data products, partnering with engineering, product leadership, and commercial teams. Lead customer discovery, define use cases and requirements, establish evaluation criteria, manage sprints, prioritize evidence-based backlogs, and deliver product improvements. The role requires deep technical fluency in SQL, data models, pipelines, and statistical analysis, along with US healthcare data knowledge and effective use of AI tools.

Own and manage a digital commerce product area end to end, focusing on top-of-funnel experiences such as browsing, search, and product pages. Analyze APIs, microservice contracts, data flows, backend batch jobs, page data, and analytics tags. Apply agile digital operations using Azure DevOps, perform basic financial analysis, and work with digital retail technologies including search platforms, CMS, APIs, and service layers.

The Senior FOIA Disclosure Product Manager will oversee product planning and execution for the SecureRelease product, conducting market analysis and coordinating cross-functional teams to meet product requirements and timelines.

The FOIA Disclosure Product Manager will drive product management tasks, analyze market trends, collaborate with teams, and develop product strategies and requirements within a federal agency environment.

Own the Konnect Developer Portal self-service experience, including application registration, credentials, teams, and environments. Lead discovery, roadmap development, user research, prioritization, cross-functional delivery, and KPI tracking across API, AI, gateway, lifecycle, monetization, and onboarding capabilities. The role requires strong developer empathy, experience with B2B SaaS or platform products, and the ability to connect frontend UX, backend integrations, and system design.

Lead product initiatives for therapist-facing tools to automate administrative workflows and deliver real-time clinical guidance using AI. Partner with design, engineering, and clinical teams to simplify workflows, improve efficiency, and increase therapist capacity and patient care.

Own Twilio’s Trust Hub KYC products end to end, developing product vision, strategy, and roadmap; leading cross-functional planning, design, development, and launches; translating customer needs into requirements; analyzing product metrics; managing stakeholders; and conducting data-driven business reviews. The role requires extensive product management experience in SaaS, IaaS, or PaaS, strong analytical and technical judgment, executive influence, and the ability to navigate ambiguous challenges.