Top AI Product Manager Jobs in Austin, TX

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.

Drive zero-to-one AI product development focused on identity security, authorization, and privileged access. Translate market trends into features, own initiatives from discovery through launch, conduct research with security stakeholders, and collaborate across engineering, design, sales, marketing, and customer success. The role requires understanding IAM, PAM, IGA, enterprise security, AI/ML concepts, agent-enabled systems, compliance, privacy, and scalable product delivery.

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

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.

Own the vision, roadmap, backlog, and priorities for k0rdent AI storage across GPU clusters. Define capabilities for parallel file systems, object and block storage, tiering, snapshots, data protection, and GPU-optimized data paths. Translate customer requirements into product direction, partner with engineering on scalable storage features, develop positioning and field assets, support strategic accounts, and represent Mirantis with customers, analysts, and ecosystem partners.

Own the strategy, roadmap, execution, and success metrics for Homebound’s physical AI portfolio. Translate computer vision, multimodal models, and AI agents into reliable products for construction jobsites, including mobile tools, automated data capture, and schedule insights. Partner across construction operations, field teams, and engineering; define requirements, evaluation frameworks, experiments, and adoption metrics. Travel monthly to Texas to train users, drive rollouts, and build feedback loops.

Lead product discovery and delivery for client engagements, partnering with stakeholders, designers, and engineers to define opportunities, prioritize backlogs, manage roadmaps, and deliver measurable outcomes. Serve as a trusted advisor to senior clients while guiding AI-enabled product development. Apply AI tools for productivity and demonstrate practical understanding of LLM systems, RAG, data grounding, hallucinations, latency, cost, and evaluation.

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.

Own client-facing digital 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 shippable work. Partner with engineers on agent architecture, evaluations, and guardrails; manage multiple clients, scope, budgets, timelines, steering committees, and ROI outcomes. Provide streaming and OTT media product expertise while contributing to internal delivery practices.

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.

The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.

The Data and AI Product Manager owns product vision, roadmap, backlog, requirements, prioritization, delivery cadence, success metrics, adoption, governance, and stakeholder communication. The role partners with engineering teams and business units to deliver governed data and AI products, measure business value, guide product direction, and support engineering pod leadership. It requires substantial product management experience, SQL proficiency, data platform knowledge, and the ability to translate user and business needs into actionable product decisions.

Own product areas within BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, metrics, roadmaps; collaborate with engineering, design, data, operations, compliance and business teams; launch features, monitor performance, iterate using data and feedback while balancing speed, UX, business impact, and compliance.

Own the strategy, roadmap, evaluation, governance, integration, launch, and lifecycle management of AI tools supporting mortgage sales. Discover Loan Officer needs, prioritize use cases, measure adoption and ROI, evaluate vendors, coordinate risk and compliance approvals, design workflows across enterprise systems, and lead enablement and change management. Partner with technical teams on integrations and internal AI builds while maintaining vendor guardrails and ensuring safe, valuable adoption.

Own the AI and data product roadmap, prioritize and sequence development with engineering and founders, ship trustworthy AI experiences, drive adoption, define feature success metrics, evaluate outcomes, and manage the analytics foundation. The role requires technical fluency in AI, prior software engineering experience, production AI product delivery, strong product judgment, and comfort working in a fast-paced, remote startup environment.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

Lead product strategy and roadmap for Akamai's core compute offerings, bridging hardware and developer experiences. Gather and document technical requirements, prioritize features, analyze metrics for KPIs and profitability, collaborate cross-functionally, and engage customers and partners to drive compute platform adoption and improvements.

As Product Manager, Engagement, you will lead the roadmap for patient engagement features, collaborating with design, engineering, and clinical teams to enhance the user experience and measure success through engagement KPIs.

Own the development of an AI-powered marketing product for campground/RV park operators: define vision and roadmap, design trusted AI experiences, conduct customer discovery, partner cross-functionally, manage integrations and platform connections, set KPIs and experiments, run agile delivery, and communicate progress to stakeholders.

Lead commercialization of AI-enabled mainframe managed services by productizing platform capabilities, defining pricing and packaging, owning roadmap and lifecycle, aligning cross-functional stakeholders, and enabling sales to scale repeatable, profitable offers driven by automation and platform innovations (Telum/Spyre).

The Senior Technical Product Manager will lead the strategy and execution of Fingerprint's Bot Detection product, covering detection capabilities, customer experience, and commercialization efforts.

Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.