Top AI Jobs in Austin, TX

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Leads the East enterprise sales team, driving quota attainment, account-based execution, forecasting discipline, win-rate improvement, and complex deal strategy. Manages, coaches, and performance-manages Account Executives while developing scalable sales processes and enterprise go-to-market motions. Partners cross-functionally with Marketing, Product, RevOps, Enablement, Solutions Engineering, Legal, and Customer Success to improve deal velocity, customer engagement, and segment performance.

Lead Corptax US Compliance and Provision implementations for domestic and international tax clients. Translate tax processes into scalable configurations, data models, and workflows; manage project plans, risks, milestones, and communications. Improve data quality through mapping, transformations, validation, controls, automation, and responsible AI use. Identify recurring client patterns and contribute to implementation accelerators while partnering with Product, Engineering, and Services teams. Support client reporting cycles and maintain stakeholder alignment for timely, high-quality delivery.

Create technical content, videos, demos, presentations, and product walkthroughs showcasing GitLab’s DevSecOps and AI agent capabilities. Engage developers, customers, sales teams, and online communities through webinars, events, forums, Discord, and social platforms. Answer technical questions, deliver analyst briefings, research the developer tools landscape, test new features, and provide product feedback. The role is remote, supports U.S. and Canadian time zones, and requires up to 20% travel.

Generate qualified sales pipeline through outbound prospecting, inbound lead follow-up, personalized email, phone, and LinkedIn outreach. Research healthcare provider accounts, identify stakeholders, conduct discovery and qualification calls, maintain CRM data, and partner with Account Executives. The role also helps develop outbound playbooks, improve AI-driven campaigns, follow up after events, and establish scalable SDR processes.

Lead agile design and development projects for mobile apps and digital products. Coordinate product, design, engineering, marketing, leadership, and client stakeholders; manage project plans, scope, requirements, backlogs, acceptance criteria, deadlines, workflows, and deliverables. Support scoping and client relationship management while ensuring successful end-to-end software launches and alignment with business objectives.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Design and productionize scalable batch and streaming data pipelines and governed data products in Azure Databricks. Build lakehouse architectures, automation, AI-enabled retrieval and semantic workflows, and production data solutions supporting analytics, ML, LLMs, and agents. Establish standards for testing, quality, lineage, observability, security, and cost management while solving complex engineering problems. Partner with data science and ML teams, influence technical direction, mentor engineers, and improve delivery practices.

Design, build, and scale AI-enabled workflow and automation solutions across collaboration platforms and enterprise systems. Translate manual processes into secure, reusable, event-driven automations using Python/JavaScript, integrate AI capabilities like Gemini, implement logging and telemetry, and partner with product, security, and business teams to deploy and sustain enterprise transformation solutions.

Senior Product Manager responsible for defining the vision, strategy, requirements, roadmap, and execution of edge AI management capabilities. The role coordinates engineering, data science, infrastructure, sales, marketing, and customers to manage model, data, and configuration deployment across distributed edge environments. Responsibilities include product acceptance testing, documentation, release communications, go-to-market support, market analysis, and KPI-driven prioritization. Candidates need strong AI/ML fluency, distributed systems or edge experience, technical product management expertise, and eligibility for a Secret or higher security clearance.

Leads CrowdStrike’s Red Team, overseeing penetration testing and adversary emulation engagements, operations, reporting, metrics, vendor relationships, and customer coordination. Manages and mentors team members, supports security program improvements, scopes engagements with Sales, guides crisis response, and communicates findings to executive and technical audiences. The role requires advanced security assessment, networking, operating system, vulnerability testing, automation, scripting, and tool-development expertise, with occasional travel.

Owns LSF cluster operations for EDA workloads, including job scheduling, incident troubleshooting, infrastructure automation, and AI-powered developer support tooling. The role serves as the team’s LSF authority, drives measurable efficiency improvements, supports VDI and compute environments, and contributes to AWS cloud integration and infrastructure architecture within Ericsson’s silicon design operations.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Manage enterprise SaaS renewals by protecting and expanding annual recurring revenue. Develop renewal strategies, negotiate commercial terms, prepare offers, structure upgrades and Flex conversions, manage contracts, research customer utilization, forecast renewals, and mitigate account risks. Partner with enterprise sales teams and customer value architects while serving as a subject matter expert on subscription renewals and sales processes.

Own Eve’s messaging house, positioning, competitive narrative, first-call deck, keynote and event content. Partner with executives, Product, Sales, Enablement, Demand Gen, and Content to ensure consistent, differentiated messaging. Gather market feedback from customers, prospects, and sales calls, translating technical AI capabilities into clear value for plaintiff attorneys. The role requires exceptional writing, executive presence, strategic messaging expertise, and 7+ years of B2B SaaS or legal technology product marketing experience.

Leads the design and operation of an integrated renewals and commercial operations function covering pricing, deal desk, contract negotiation, discount governance, and RFP resources. Redesigns processes using AI and automation, defines CPQ and contract lifecycle requirements, improves ARR and productivity, establishes commercial policies, monitors KPIs, and builds a high-performing team while partnering with Sales, Legal, and Finance.

Own the clinical safety strategy for Headway’s behavioral health platform. Define risk detection, escalation, severity taxonomies, and safeguards across patient and provider product surfaces. Partner with product, engineering, clinical operations, and AI teams to audit safety gaps, evaluate AI outputs, create clinical rubrics, and ensure policies accurately reflect risk ownership. Advocate for clinical rigor while translating complex safety requirements into actionable product systems.

Owns the strategy, roadmap, implementation, compliance, and continuous improvement of global time and absence programs. Manages Workday Time and Absence modules, leave policies, regulatory updates, payroll data flows, stakeholder collaboration, training, communications, and change management across global regions. Ensures accurate time tracking, leave administration, legal compliance, operational efficiency, and positive employee experiences.

Drives new enterprise technology business across Louisiana and Mississippi state government and higher education accounts. Identifies opportunities, builds executive relationships, develops strategic account plans, leads complex sales cycles, manages partner and internal account teams, and closes deals across HPE’s portfolio. Requires strong public-sector selling, business acumen, consultative selling, negotiation, and technology expertise, with approximately 50% travel throughout the territory.

Designs and implements privacy-by-design controls across enterprise data platforms, analytics, AI systems, digital products, and connected vehicle technologies. Develops privacy-preserving solutions including pseudonymization, tokenization, encryption, masking, consent management, access controls, and data minimization. Partners with Engineering, Legal, Privacy, Cybersecurity, Product, and Data Governance teams to embed privacy requirements into software and vehicle development lifecycles. Supports standards, assessments, audits, control validation, remediation, and technical guidance.

Drive enterprise sales and growth for Braze AI by engaging senior customer stakeholders, leading AI solution discussions, quantifying business impact, supporting proofs of value, enabling sales colleagues, and communicating customer needs to product and marketing teams. The role requires strong executive presence, business acumen, technical curiosity, relationship-building, structured execution, and at least five years of relevant experience in enterprise sales, consulting, marketing technology, AI, or marketing.

Own the end-to-end lifecycle of digital products, including vision, strategy, roadmap, discovery, requirements, delivery, adoption, and continuous improvement. Partner with business and technical stakeholders, guide AI-assisted development, define acceptance criteria, and ensure scalability, security, compliance, and maintainability. Monitor product performance and user experience while coordinating multidisciplinary teams across product, engineering, architecture, QA, and AI-enabled delivery.

Drives AI agent and tool adoption across assigned client accounts. Leads training, enablement, change-management execution, feedback collection, adoption tracking, dashboard maintenance, and scaled rollout support. Builds stakeholder relationships, identifies adoption barriers, reports utilization and sentiment metrics, and recommends improvements to training, processes, and tool configurations. Coordinates with product, operations, and leadership teams to operationalize AI pilots and support measurable, sustained behavioral change.

Leads the organization’s technology vision, strategy, digital transformation, cybersecurity, infrastructure, applications, data, cloud services, and operations. Oversees technology governance, architecture, integrations, budgets, vendors, risk management, compliance, business continuity, and disaster recovery. Partners with executives and business stakeholders to align investments with growth objectives, modernize capabilities, improve operational efficiency, and deliver an integrated advisor experience. Manages large technology portfolios and senior technology teams while driving innovation, AI adoption, automation, scalability, and service reliability.