Top Tech Jobs & Startup Jobs in Austin, TX

Administer and optimize contract lifecycle management, AI-assisted legal review, eBilling, and outside counsel systems. Configure workflows, templates, clause libraries, approval routing, integrations, reporting, and user training. Develop legal technology processes, dashboards, KPIs, prompt libraries, and knowledge repositories; support AI governance and cross-functional enablement. Improve contract turnaround times, system adoption, data integrity, compliance, invoice workflows, billing guideline adherence, accrual reporting, and legal spend analytics.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Leads the lifecycle, delivery, governance, support, integration, testing, and continuous improvement of enterprise business systems. Partners with vendors and business leaders to align technology solutions with strategic priorities, manage incidents and releases, oversee budgets and service metrics, ensure regulatory and security compliance, and drive adoption. Manages technology staff through capacity planning, hiring, development, performance feedback, and prioritization while delivering scalable, cost-effective solutions that improve operational efficiency and client experience.

Provide senior-level technical support for a cloud backup platform by troubleshooting customer issues, analyzing logs, networking, Linux systems, and code. Escalate complex incidents, coordinate with product and engineering teams, maintain documentation, and design automation that scales support operations. Participate in after-hours, holiday, and weekend on-call coverage while working primarily 9–6 EST.

Build and deploy low-latency machine learning models and inference infrastructure for Netflix’s advertising platform. Develop identity resolution, behavioral and contextual targeting, lookalike expansion, user signals, and audience features at massive scale. Collaborate with science, product, engineering, operations, design, and research teams to productionize models while supporting privacy, governance, security, and advertiser brand safety.

Design packaging, print, retail, experiential, out-of-home, and digital assets for a consumer food brand. Concept package artwork, maintain brand guidelines and templates, prepare press-ready files, coordinate with printers and vendors, guide freelance creatives, and collaborate with marketing, sales, and cross-functional teams. Manage multiple projects, respond to feedback, meet deadlines, and use AI design tools to accelerate realistic packaging and activation concepts in a remote environment.

Own and grow an enterprise B2B SaaS account portfolio through renewals, expansions, QBRs, executive business reviews, forecasting, and contract negotiations. Build relationships with executives and other stakeholders, identify upsell and cross-sell opportunities, partner with Customer Success on adoption and retention, translate platform data into business insights, and relay customer feedback to Product and Leadership.

Designs and maintains Java and Spring Boot microservices for a secure, scalable AWS foundation platform. The role focuses on authentication, identity integrations, APIs, cloud infrastructure, fault tolerance, CI/CD, production support, and reliability. Responsibilities include architectural design, code reviews, mentorship, cross-team collaboration, and monthly on-call support. Required expertise includes SAML, OAuth 2.0, OIDC, JWT, RBAC, AWS services, distributed systems, and secure cloud-native development.

Leads a team of machine learning engineers and data scientists developing and deploying styling algorithms and personalized client experiences. Owns AI and ML strategy, product roadmap contributions, experimentation, production deployment, code quality, and data practices. Partners with product, design, merchandising, styling, and business teams to optimize personalization outcomes while coaching the team and fostering collaboration, innovation, and technical excellence.

Drive net-new enterprise account acquisition for legal technology and managed review services across the Americas. Personally prospect, qualify, negotiate, and close complex multi-stakeholder deals, targeting $5M in annual contract value. Manage long sales cycles, maintain Salesforce forecasts, present tailored proposals, attend industry events, and partner with delivery and client success teams during onboarding. Provide market intelligence to product and leadership teams.