Top Tech Jobs & Startup Jobs in Austin, TX

Manage the IAM product lifecycle, including strategy, roadmap, prioritization, backlog management, requirements, agile delivery, release planning, stakeholder alignment, adoption, and continuous improvement. Partner with engineering, cybersecurity, risk, operations, architecture, and business teams to deliver secure, scalable identity capabilities supporting advisors, employees, and clients.

Provides technical leadership for enterprise DevSecOps engineering, developing CI/CD strategies, cloud automation, deployment standards, infrastructure-as-code frameworks, and technology roadmaps. The role supports AWS and containerized environments, drives developer productivity and operational excellence, promotes secure DevOps practices, and collaborates with architecture, security, platform, quality, and cloud engineering teams.

Manage and mature the enterprise vulnerability management program, including vulnerability scanning, remediation tracking, risk assessment, cloud security posture management, and security metrics. Partner with infrastructure, cloud, engineering, application, and vendor teams to mitigate vulnerabilities, improve processes, operate scanning platforms, and lead enterprise security initiatives.

Provides operational and client support for wealth advisors, including account openings, money movement, transfers, maintenance, notifications, distributions, and document processing. Handles client and advisor inquiries, resolves complex issues, prepares forms and reports, manages mail and team inboxes, and coordinates escalations. Builds client relationships, supports sensitive life-event transactions, refers clients for financial guidance, and trains department staff.

Architect, build, and support highly available enterprise edge infrastructure and security controls. The role includes threat hunting, mitigation, monitoring, DNS and load balancing, infrastructure automation, security standards, observability, technical documentation, technology evaluations, and cross-functional delivery. The engineer participates in an on-call rotation and helps shape the organization’s edge security strategy and roadmap.

Designs, implements, and maintains Windows Server and Microsoft Azure infrastructure for high availability, performance, resiliency, and security. Manages Active Directory, monitoring, patching, migrations, incident resolution, system templates, and deployment automation. Leads architecture using Infrastructure as Code, identifies technology risks, evaluates tools, supports governance and compliance, and collaborates on application roadmaps. The role also requires hybrid cloud integration, Azure security and identity management, technical documentation, and continuous infrastructure improvement.

Prospect financial advisors through cold calls, email campaigns, and LinkedIn outreach to generate qualified leads for LPL’s Advisor Recruiting team. The role requires executing weekly campaigns, qualifying prospects, presenting opportunities to recruiting leaders, tracking KPIs and funnel impact in Salesforce, and consistently achieving high outreach and sales targets. It also involves collaborating with internal and field recruiters, building rapport by phone, and developing financial services and sales expertise.

Drive Financial Advisor lead flow through phone-based prospecting, cold-calling (100 outreaches/day), email and social outreach. Qualify leads, present to regional directors, track KPIs in Salesforce, execute targeted campaigns, and develop skills for advancement to Internal Regional Director.

Owns the strategy, roadmap, delivery, adoption, and performance of an enterprise AI platform. Responsibilities include managing AI asset registries; enabling registration, testing, certification, monitoring, and retirement; overseeing runtime controls, data permissions, evaluation, observability, incident recovery, audit evidence, cost tracking, and FinOps reporting. Partners with engineering, cybersecurity, risk, compliance, privacy, legal, records management, supervision, data, and product teams to support responsible AI innovation.

Owns the enterprise control plane and product strategy for agentic technologies, AI platforms, non-human identities, and emerging technologies. Defines identity, authorization, governance, monitoring, auditability, risk, and enforcement capabilities that enable secure AI adoption. Translates security and regulatory requirements into scalable platform features, partners with engineering and control functions, manages roadmaps and operational performance, and communicates control gaps and decisions to senior stakeholders.