Top Tech Jobs & Startup Jobs in Austin, TX

Leads the operations engineering department supporting automation, tooling, controls, reliability, and manufacturing systems. Manages and develops engineering teams, designs and commissions automation solutions, oversees projects, budgets, documentation, risk management, training, and implementation. Establishes production KPIs, supports 24/7 operations, coordinates across sites and customers, and ensures compliance with medical validation and FDA-regulated manufacturing requirements.

Perform monthly, quarterly, and annual close activities; prepare consolidated financial statements, SEC filings, earnings-release materials, and audit workpapers. Conduct variance analysis, technical accounting research, and US GAAP consultations. Partner with Finance, Tax, Treasury, Internal Audit, auditors, and senior management on reporting, compliance, SOX controls, intercompany activity, restructurings, and purchase accounting projects.

Lead second-line cybersecurity and technology risk assessments for financial services clients, advise on regulatory readiness and frameworks, improve governance and reporting, and guide remediation, IAM, cloud security, incident response, third-party risk, and AI risk initiatives while mentoring junior staff and communicating findings to executives and boards.

Guide the technical direction of commerce experiences in the Venmo iOS app. Coordinate engineers, define technical tasks, improve engineering processes, balance quality and delivery priorities, establish generalized solutions, raise engineering standards, and represent PayPal with partners, customers, and industry organizations.

Leads iOS engineering projects, coordinates technical work, makes architecture and engineering-rigor decisions, improves processes, and represents PayPal with external partners. Develops and maintains large-scale consumer mobile applications using Swift, asynchronous programming, GraphQL, and REST APIs. Mentors engineers and promotes testing, design patterns, and maintainable software practices.

Leads Android engineering efforts for Venmo consumer mobile applications at scale. Owns software components across design, implementation, testing, delivery, and operations; defines technical tasks, contributes to roadmaps, evaluates implementation tradeoffs, and ensures reliable solutions. Mentors engineers, leads reviews and team processes, resolves technical issues, and communicates effectively with technical and non-technical stakeholders. Requires strong Kotlin, asynchronous programming, API integration, testing, design patterns, and mobile development expertise.

Develop innovative physical design methodologies for GPUs and SOCs, focusing on PPA improvements and collaboration across multiple teams. Use AI/ML to enhance design efficiency.

Operate and improve an AI-powered vulnerability operations platform. Monitor scanning fleets and worker queues, investigate failures, build Python/FastAPI and React/TypeScript features, manage PostgreSQL data, reconcile findings with SQL, and operate Kubernetes/OpenShift GitOps deployments. Improve asset inventory, ownership attribution, scan coverage, data quality, and vulnerability lifecycle logic. Collaborate with senior engineers on LLM-based security scanning and verification tools while supporting security engineers and repository owners.

Manage and lead a software engineering team building NVIDIA DGX Cloud Kubernetes platforms. Responsibilities include gathering requirements, guiding engineers, developing cloud-based solutions, presenting roadmaps and demos, participating in open-source communities, and partnering across NVIDIA organizations. The role requires expertise in distributed systems, systems programming, Kubernetes, Linux internals, networking, storage, DevOps tooling, container orchestration, APIs, and identity and access management.

Leads the global AgentExchange Security and Labs program as a strategic architect and operational lead. Responsibilities include setting portfolio roadmaps, guiding security review operations, managing partner escalations, designing fee structures and security guardrails, embedding AI automation, synthesizing program data into executive dashboards, and representing the platform at industry events. The role requires cross-functional influence without direct authority and deep Salesforce ecosystem expertise.

Architects and deploys conversational analytics agents and semantic data models using Salesforce Data360 and Agentforce. Integrates and unifies structured and unstructured data, prototypes customer-specific solutions, troubleshoots production architectures, and mentors customer data teams. Acts as the technical liaison between customers, Product Management, and Engineering to influence product improvements and roadmap priorities.

Provide dedicated analytics support to Cloud Success teams by delivering SQL-driven analysis, forecasting, and executive-ready visualizations (Tableau/Power BI). Translate data into actionable recommendations, present findings to senior leaders, manage stakeholders, own projects end-to-end, mentor junior analysts, and respond flexibly to high-visibility requests.

Own enterprise customer relationships from contract signature through onboarding, adoption, retention, renewal support, expansion influence, and advocacy. Build the company’s first dedicated customer success function, including playbooks, engagement cadences, health monitoring, and value narratives. Analyze performance data proactively, identify risks and opportunities, demonstrate customer value, support champions, and collaborate with sales on commercial growth.

Manages customized discretionary investment portfolios for high-net-worth and ultra-high-net-worth clients. Responsibilities include asset allocation, portfolio construction, security and manager selection, trade execution, risk management, compliance, performance reviews, market analysis, and proactive client communication. The role also supports client retention, business development, integrated wealth-management solutions, and mentoring associates.

Owns BI product management for Quote-to-Cash and Order-to-Cash processes. The role connects financial and operational pain points to BI, AI, and machine learning opportunities; develops PRDs, roadmaps, and business requirements; partners with finance, legal, sales, product, delivery, and engineering teams; and ensures quoting, deal structuring, billing, and revenue recognition processes are accurately represented in downstream data products.

Design and build low-latency .NET backend services and RESTful APIs, and Angular user interfaces. Work in a microservices, message-driven environment (Kafka/RabbitMQ), maintain >80% test automation coverage, use CI/CD (GitHub Actions) and Splunk for observability, define OpenAPI/Swagger contracts, and own production lifecycle while leveraging AI coding tools.

Maintain operational resilience across Azure, AWS, and GCP in a 24x7 environment. Build Terraform-based security baselines, optimize CI/CD pipelines, monitor workloads with Wiz, lead major incidents, coordinate remediation, communicate status to stakeholders, and create incident-management playbooks and runbooks. The role also mentors SREs and supports platforms subject to PCI-DSS and SOC 2 compliance.

Own the Sales Operations AI and automation roadmap, redesign manual processes into agent-led workflows, and build AI agents, copilots, RAG solutions, and intelligent automations. Integrate solutions with enterprise platforms, improve data quality and reporting, implement governance and security guardrails, track performance and costs, and drive adoption through training and rollout. Partner with sales, finance, data, IT, security, and AI infrastructure teams to deliver measurable operational efficiencies.

Analyzes global Sales Operations data for pipeline, forecasting, bookings, billings, attainment, product, regional, and customer performance. Translates complex findings into executive insights, recommendations, risk narratives, and planning support. Partners with sales, finance, product, and reporting teams to improve decision-making, data quality, reporting adoption, territory planning, goal setting, and operational execution.

Leads the firmwide Knowledge & Innovation function, including distributed legal knowledge teams across practice groups and offices. Develops knowledge management and legal AI strategy, establishes governance and content standards, structures taxonomies for search and AI tools, and oversees prompts, agents, and workflows. Manages hiring, performance, development, and promotions while partnering with technology, security, information governance, legal, and practice leaders. Tracks adoption and performance metrics, manages knowledge-related risk, and identifies opportunities to improve legal and client service delivery.

The Knowledge and Innovation Counsel leads AI and knowledge management initiatives for assigned legal practice groups. Responsibilities include identifying use cases, guiding attorneys on AI tools, customizing prompts and workflows, curating precedents and playbooks, delivering legal and technology training, analyzing adoption data, supporting solution development, monitoring legal technology developments, and representing innovation priorities to firm leadership. The role also mentors junior knowledge professionals and partners with attorneys, clients, and technology teams.