Top Tech Jobs & Startup Jobs in Austin, TX

Leads the enterprise Identity and Access Management organization, strategy, governance, engineering, operations, resilience, and compliance programs. Oversees identity governance, privileged access, authentication, directory services, platform modernization, production support, and Zero Trust initiatives. Partners with technology, risk, compliance, audit, and business leaders while managing a large geographically dispersed organization, budgets, vendors, succession planning, and strategic investments.

Owns enterprise architecture strategy for the Service and Support domain. Defines current, transition, and target-state architectures, capability maps, reference architectures, and modernization roadmaps. Guides CRM, case management, workflow, contact center, integration, data, and AI-enabled service initiatives. Establishes architecture standards, security and cloud guardrails, integration and data boundaries, and modernization strategies. Partners with executives, product, engineering, cybersecurity, and cloud teams while mentoring architects and communicating trade-offs, risks, dependencies, and business value.

Leads strategy, architecture, delivery, and operations for LPL’s core financial data platforms, including transactions, positions, tax lots, pricing, accounting, and held-away assets. Oversees AI-native data engineering, quality, governance, semantic products, secure APIs, AWS modernization, and LPLSQL migration. Partners with risk, compliance, legal, audit, and business teams to ensure regulatory controls. Builds and develops a multidisciplinary organization spanning data engineering, AI, knowledge engineering, data products, and data quality while managing strategic technology vendors.

Provides hands-on technical leadership for high-volume, low-latency applications and cloud solutions. Designs and develops full-stack systems, microservices, APIs, and production-reliable software using .NET, Angular, AWS, and SQL Server. Partners with product, architecture, data, infrastructure, and business teams; assesses technical risks; supports planning and demonstrations; mentors engineers; maintains technical documentation; and communicates technical decisions across stakeholders.

Defines and executes enterprise data engineering and platform strategy. Designs scalable cloud data architectures supporting analytics, reporting, AI, and business intelligence; modernizes warehouses, lakes, and lakehouses; advances data mesh, governance, reliability, security, observability, ETL/ELT, automation, Infrastructure as Code, and CI/CD. Partners with architecture, security, infrastructure, product, and business stakeholders to deliver enterprise-scale data capabilities and apply AI-assisted engineering practices.

Provides high-level administrative support to an EVP and leadership team, including calendar and inbox management, meeting and event coordination, heavy travel arrangements, expense processing, document preparation, communications, and confidential executive support. The role serves as a gatekeeper and resource for executives, coordinates logistics across time zones, and manages onsite support in Austin Monday through Thursday.

Lead product management for the ClientWorks advisor workstation platform. Responsibilities include researching user needs, defining near- and medium-term roadmaps, managing product development cycles, establishing success metrics, analyzing product performance, and collaborating cross-functionally to improve advisor and client experiences. The role also requires developing business cases, securing funding approval, presenting to senior leaders, and serving as a product subject matter expert.

Prospects financial advisors through cold calls, email, and LinkedIn to generate qualified leads for LPL’s advisor recruiting team. The role involves executing prospecting campaigns, qualifying leads, presenting opportunities to regional directors, tracking KPIs and funnel performance in Salesforce, and working toward promotion into internal regional director roles.

Design, develop, test, and support scalable full-stack applications and cloud-native microservices using .NET, Angular, AWS, SQL, and NoSQL technologies. Build APIs, data integrations, ETL pipelines, and CI/CD solutions while improving system performance, reliability, and scalability. Collaborate with product, architecture, and engineering teams, participate in design and code reviews, troubleshoot applications, document technical solutions, and apply modern DevOps and AI-assisted development practices.

Leads enterprise AI architecture across generative AI, agentic systems, RAG, AI control planes, governance, security, evaluation, deployment, and operations. Defines reference architectures, lifecycle standards, runtime controls, and production readiness gates while conducting technology evaluations and proofs of concept. Partners with product, engineering, security, risk, and compliance teams to deliver secure, observable, resilient, cost-aware AI solutions in a regulated financial services environment. Mentors architects and influences enterprise technology roadmaps.