Top Tech Jobs & Startup Jobs in Austin, TX

Owns delivery roadmaps for production AI/ML systems from concept through deployment and monitoring. Partners with applied science, data engineering, ML engineering, product, and design teams to define milestones, manage dependencies, track model health, address risks, and resolve cross-functional conflicts. Leads agile execution, vendor relationships, stakeholder communication, and remediation for issues involving data quality, infrastructure, model performance, adoption, drift, cost, and incidents.

Build and maintain scalable data pipelines, models, cost allocation systems, metrics, dashboards, and analytical tools for PlayStation’s global infrastructure. Connect infrastructure, financial, engineering, and product data to analyze cost, utilization, capacity, and unit economics. Ensure data quality, testing, observability, documentation, and reproducibility while partnering across engineering, product, finance, and operations teams.

Leads strategy, governance, and execution for global service operations and Studio IT programs. Translates organizational strategy into roadmaps, manages dependencies and risks, aligns engineering and business stakeholders, and drives predictable delivery. Establishes metrics, operating frameworks, and Agile practices while supporting organizational design and executive communications. The role influences senior leaders, external partners, and distributed teams across a complex global technology environment.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Leads PlayStation’s global marketing technology organization across engineering, product, UX, measurement, experimentation, audience activation, and marketing data. Owns platform architecture, product strategy, roadmap, security, scalability, AI capabilities, and global transformation initiatives. Oversees marketing platforms from discovery through operations, aligns multidisciplinary teams, guides build-versus-buy decisions, and partners with marketing, analytics, and data science leaders to improve effectiveness, customer experience, and business outcomes.

Lead development and maintenance of character creation, rigging, animation, and simulation tools for game production. Collaborate with artists, engineers, studios, and research teams to prototype workflows, integrate game engines, optimize environments, and apply AI/ML to improve development efficiency. Build and customize internal tools, automate project environments, troubleshoot production issues, document systems, and support varied client pipelines. Participate in internal demonstrations and conferences, with required travel.

Establish and operationalize Finance data governance across Finance and Technology. Define governance models, business glossaries, data inventories, lineage, quality controls, master-data standards, hierarchies, and reconciliation processes. Support SAP, Snowflake, reporting, planning, and analytics data products; facilitate stakeholder workshops; document requirements; manage governance backlogs; and coach data owners and stewards in an ambiguous enterprise environment.

Support and administer IBM Planning Analytics throughout budgeting and forecasting cycles. Troubleshoot user, system, and data issues; manage access, documentation, training, requirements, testing, upgrades, and enhancements. Partner with Finance and technical teams to improve planning processes, automation, reporting, integrations, and data reliability. The role also delivers change requests and supports platform configuration and development.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.