Top Tech Jobs & Startup Jobs in Austin, TX

Serve as a trusted technical advisor for enterprise sales opportunities. Partner with Account Executives to guide sales strategy, design tailored solutions and demonstrations, lead proof-of-concepts, develop scalable architectures, quantify business value, support RFPs, and influence product development through customer feedback. Engage technical stakeholders and C-suite executives while managing multiple strategic deals and traveling 20–25%.

Protect corporate data through DLP implementation, tuning, alert review, false-positive reduction, and control optimization across web, endpoint, email, cloud, and SaaS environments. The engineer will review data protection programs, improve monitoring and blocking controls, collaborate with business partners, and use automation and emerging AI tools to strengthen security operations.

Design, implement, administer, and maintain Splunk environments across on-premises and cloud infrastructures. Responsibilities include upgrades, patching, system health monitoring, troubleshooting, data onboarding, log parsing, indexing, normalization, SPL query development, and creation of dashboards, reports, and alerts. The role partners with application and network teams to identify data sources and supports operational, security, and business analytics.

Develops and sells Dell-centric infrastructure solutions in a field-based technical pre-sales role. Responsibilities include customer assessments, solution architecture, technical health checks, SOW authoring, sales strategy, customer and partner relationship management, competitive analysis, technical enablement, marketing contributions, coaching, and training. The role focuses on Dell compute, storage, data protection, datacenter, and hybrid solutions while serving as a trusted technical advisor.

Leads technical solution and product design for complex hybrid infrastructure environments. Manages project teams, develops business cases and client-facing deliverables, reviews statements of work and technical outputs, advises clients, supports proposals and presentations, and coordinates technical issue resolution across teams, vendors, technologies, and geographies. Requires strong communication, consulting, organizational, analytical, and stakeholder-management skills, along with flexibility to work extended hours and travel as needed.

Leads BECU’s enterprise product management function, establishing product lifecycle standards, governance, operating models, and roadmap practices. Coaches product leaders and product coaches, aligns business and technology priorities, manages dependencies and execution risks, and advises senior leadership. The role also leads product councils, supports talent development, and drives product transformation across a complex, matrixed organization.

Lead the development of statistical and machine learning models for time-series and geospatial data. Build analytic solutions, datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and reports. Evaluate algorithm performance, optimize classifiers, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders to deliver reliable mission-focused software and data capabilities.

Lead and contribute to the design, integration, deployment, and sustainment of mission-focused systems. Translate stakeholder needs into technical requirements, architectures, interface definitions, deployment patterns, and operational processes. Partner with software engineers and data scientists to integrate applications, data pipelines, infrastructure, and external systems. Support testing, verification, troubleshooting, operational readiness, documentation, and reliability improvements for secure, scalable, data-intensive systems.

Develops statistical and machine learning models for kinematic behavior detection using live, historical, time-series, and geospatial data. Responsibilities include data integration, ETL, feature engineering, forecasting, anomaly detection, algorithm evaluation, simulation, visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to mission-focused software applications, APIs, data workflows, code reviews, troubleshooting, and agile development in a remote-first environment.

Handle inbound and outbound calls to current policyholders to explain and add additional life, accident, and health coverage; use the eService web system to assess eligibility, complete paperwork, correct errors, and assist with correspondence while maintaining confidentiality and strong customer service.

Provide first-tier remote customer support via phone, email, and written correspondence; resolve inquiries promptly, meet quality and performance metrics, handle escalations, and follow operational standards and schedules.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.

Leads Engineering Operations by building the operating system connecting Product, Engineering, and Data strategy to measurable outcomes. Owns executive reporting, KPI and OKR definition, portfolio planning, software delivery reviews, capacity and headcount planning, risk and dependency tracking, and cross-functional decision-making. Partners with senior leaders across technology and business functions to improve delivery predictability, accountability, resource allocation, and organizational effectiveness.

Design, deploy, and maintain Google Cloud infrastructure supporting internal IT. Build repeatable Terraform-based deployments, manage GCP architecture and networking, implement security and compliance controls, monitor performance and costs, troubleshoot cloud environments, and maintain documentation. Collaborate with IT, security, and engineering teams while supporting Azure, AWS, on-premises connectivity, Kubernetes workloads, and infrastructure integration during acquisitions.

Supports general litigation and legal risk management across the business. Responsibilities include assessing lawsuits, demand letters, complaints, and legal threats; drafting and reviewing court filings; coordinating with outside and opposing counsel; representing the company in small claims court; supporting regulatory investigations; and providing practical legal guidance to internal teams.