Top Tech Jobs & Startup Jobs in Austin, TX

Manage technical and corporate accounting, including month-end and quarter-end close, financial reporting, U.S. GAAP analyses, equity accounting, audit support, reconciliations, accounting policies, variance analysis, and internal controls. The role partners across Finance and other departments, monitors accounting standards, modernizes close processes, and applies AI tools to improve accounting workflows and efficiency.

Leads enterprise financial integrations for acquisitions, transformations, and ERP implementations. Develops integration playbooks, coordinates post-close finance activities, manages finance systems conversions, standardizes project accounting and reporting processes, identifies control risks, and communicates progress and decisions to executive leadership. The role partners across Finance, Accounting, FP&A, Tax, Operations, HR, IT, and acquired businesses to stabilize revenue, billing, collections, forecasting, and month-end close processes.

Provides employment and HR legal advice across the employee lifecycle, drafts employment documents, monitors multi-state regulations, conducts workplace investigations, manages employment litigation counsel, and develops HR policies. Also supports commercial contracting, corporate governance, M&A integration, restructuring, and international expansion while advising on legal risk and business strategy.

Provides technical troubleshooting and functional support for Jenzabar products used by higher education institutions. Resolves application and system issues using SQL, logs, browser developer tools, and structured workflows; manages multiple customer cases; documents solutions; communicates with customers and internal teams; and escalates issues to Product and Engineering. The role requires customer empathy, strong prioritization, problem-solving, communication, adaptability, and familiarity with web applications, enterprise software, and higher education processes.

Designs, deploys, governs, and supports enterprise Databricks platforms across AWS Commercial and GovCloud environments. Responsibilities include Terraform-based workspace deployment, AWS networking, Unity Catalog administration, CI/CD automation, security and governance controls, platform monitoring, cost optimization, incident escalation, and stakeholder guidance. Requires extensive Databricks administration, AWS infrastructure, infrastructure-as-code, Python, Linux, and federal security environment experience.

Lead the strategy, roadmap, and execution of an AI-driven B2B SaaS platform for government contracting. Translate RFP and customer needs into prioritized product enhancements, collaborate with AI research and cross-functional teams, apply agile methodologies using Jira, and drive successful product launches and adoption.

Owns engineering, administration, scaling, and reliability for Microsoft 365, Entra ID, Azure, and Azure Virtual Desktop environments. Serves as a Tier 3/4 escalation lead, manages identity and Zero Trust controls, supports Exchange Online and virtualization, collaborates on security and SOC 2 compliance, and automates tenant administration using PowerShell and Microsoft Graph API. The role also aligns outsourced helpdesk operations, develops SOPs, and leads complex troubleshooting and incident containment.

Own marketing operations, enterprise B2B attribution, campaign and event tracking, lifecycle triggers, and marketing data alignment. Build the infrastructure connecting campaigns, website activity, in-app messaging, pipeline, and revenue. Lead automation and AI agent development to replace manual execution across demand generation and product marketing while operating initially as a team of one.

Conduct applied AI safety research using white-box methods such as activation explainers, steering, attribution, and model-internal interventions. Evaluate methods on realistic, large-scale models and agentic coding tasks, develop practical monitors and interventions, publish findings, propose research directions, and engage with researchers, frontier AI developers, governments, and the broader AI alignment community.

Reviews and audits high-definition map datasets for accuracy, completeness, and safety-critical defects. Performs quality control on geospatial data derived from LiDAR, imagery, and vehicle sensors; documents and triages issues; defines QC metrics, sampling strategies, and repeatable workflows; collaborates with mapping engineers, autonomy teams, and vendors; analyzes defect trends; maintains procedures; and supports launch readiness for new corridors and operational domains.