Top AI Product Manager Jobs in Austin, TX

Own the strategy, definition, and delivery of AI-powered messaging experiences across Web Messaging, Mobile Messaging, WhatsApp, and other channels. Translate customer problems into scalable generative AI, conversational AI, and automation products; use customer insights and production data to prioritize investments; and influence roadmaps across AI, Messaging, Digital Platform, Engineering, Design, Sales, and Customer Success. Drive use cases from experimentation through production adoption and enterprise scale.

Own Demandbase’s AI product adoption and growth strategy, guiding customers from discovery and activation through repeat usage, cross-capability adoption, consumption growth, retention, and commercial expansion. Define adoption funnels, meaningful value metrics, lifecycle strategies, experiments, packaging, entitlements, and monetization mechanics. Partner with Product, Analytics, Data Science, Finance, Sales, Customer Success, and Marketing to improve AI outcomes, establish behavioral insights, and turn successful experiments into scalable product experiences.

Own the vision, roadmap, and launch of a new AI-focused CI/CD product. Drive the product from internal system to customer offering through user research, design partners, developer experience, positioning, pricing, and cross-functional leadership. The role requires deep understanding of agent-driven software development, CI systems, technical product tradeoffs, and early-stage product development.

Own the Applied AI product roadmap, identify consumer problems, and deliver zero-to-one AI features for insurance shopping. Lead rapid prototyping, user testing, experimentation, and AI-assisted development in partnership with engineering, design, and product teams. Define success metrics, analyze quantitative and qualitative results, communicate technical trade-offs, and embed personalized AI, discovery, and conversational capabilities across consumer experiences.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business and customer needs into product requirements, coordinate engineering and AI teams, define success metrics, monitor adoption and ROI, and support responsible AI governance. The role also involves stakeholder management, leadership communication, market and technology evaluation, release planning, and ensuring successful product implementation.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Lead product strategy and lifecycle for Physical IP and CPU products targeting Edge AI. Define roadmaps, translate market and customer insights into engineering requirements, drive competitive positioning, and engage Tier 1 customers to secure design wins. Collaborate cross-functionally with engineering, sales, marketing, and executives to influence CPU roadmap, deliver commercial cases, and ensure customer success.

Leads strategy, discovery, delivery, evaluation, and continuous improvement for AI-enabled enterprise products and tools. Defines product roadmaps, user stories, KPIs, and evaluation frameworks covering reliability, accuracy, security, cost, and performance. Uses customer feedback, market analysis, and experimentation to prioritize features and validate assumptions. Partners with engineering teams, including colleagues in India, and translates complex AI concepts into scalable business value.

Own the unified roadmap for AI Transformation and Salesforce products. Lead discovery, requirements, prioritization, backlog management, delivery, adoption, and go-to-market coordination across two engineering teams. Partner with business, Legal, Security, Compliance, and Salesforce stakeholders to implement generative and agentic AI solutions, automation, and platform enhancements. Define product metrics, analyze performance, communicate strategy and trade-offs, and drive scalable products that improve employee and customer experiences.

Lead growth strategy and execution for UpToDate Expert AI across awareness, acquisition, activation, and early engagement. Drive cross-functional initiatives with marketing, sales, engineering, and data teams to improve discovery, onboarding, and activation. Define OKRs, measurement frameworks, run experiments, and translate clinician insights into product and go-to-market actions while balancing clinical, privacy, and regulatory constraints.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable financial products across payments, trading, wealth, and related services. Ensure accurate funds handling, trusted AI features, regulatory compliance, and effective execution in a distributed global team.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering across APIs, data flows, ledgering, reconciliation, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, compliance, operations, finance, and external partners.

Own the end-to-end strategy, roadmap, metrics, backlog, technical design, regulatory readiness, and launch of an AI-powered investing product. Partner with engineering, compliance, operations, treasury, finance, and design to ensure correct money movement, resilient integrations, trusted AI behavior, and compliant releases. The role requires strong technical product leadership, system design expertise, regulated-domain experience, and hands-on understanding of LLM evaluation and risk management.

Own an AI stockbroking product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements including KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI-focused finance product vertical end-to-end, including strategy, metrics, prioritization, technical design, regulated financial workflows, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to ensure accurate money movement, reliable failure handling, and trusted AI features. Requires strong system-design knowledge, experience with complex technical products in regulated domains, and hands-on judgment with LLM-based products and evaluation.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

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.

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.