Top Tech Jobs & Startup Jobs in Austin, TX

Develop and deploy machine learning, statistical modeling, and agentic AI solutions to optimize operational workflows and automate business processes. Build scalable data pipelines, predictive and prescriptive models, and autonomous decision systems across manufacturing, supply chain, customer operations, and finance. Analyze complex datasets, maintain data governance, validate models, and communicate insights to technical and non-technical stakeholders.

Conduct empirical AI safety research with mentor guidance, owning projects from hypotheses and controlled experiments through analysis and technical writing. Build and debug evaluation harnesses, agent environments, datasets, monitoring methods, and post-training experiments. Investigate model failures, alignment, deception, misuse, multi-agent risks, and evaluation reliability. Produce reproducible code, experiment logs, research analyses, and papers for potential submission to leading machine learning conferences.

ReUp Education seeks candidates for future opportunities across various areas including Learner Services, Partner Success, Marketing, and more. Successful candidates will connect with ReUp's mission to transform higher education, work in fast-paced environments, and embrace a learner-centered approach to problem-solving.

Identifies and researches prospective customer accounts, conducts multichannel outbound outreach, schedules discovery calls and demos, and generates qualified sales opportunities. Performs weekly agency visits and monthly market travel to build relationships and expand physical presence. Tracks prospecting activity in HubSpot, uses sales intelligence and outreach tools, supports Growth Directors through the sales funnel, collaborates cross-functionally, and curates LinkedIn content to increase visibility.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Drives client engagement, pipeline growth, and opportunity development for enterprise AI infrastructure solutions. Identifies and qualifies AI Factory opportunities, leads consultative sales motions, articulates full-stack AI infrastructure value, and collaborates with architects, practice leads, sales teams, and strategic technology partners. The role also supports proposal development, executive briefings, marketing events, competitive positioning, and feedback on market trends and portfolio needs.

Designs, develops, tests, and maintains software, APIs, integrations, and automation for Managed Services applications and platforms. Builds Python, Ansible, and Go solutions; supports enterprise application lifecycles; troubleshoots distributed systems; develops CI/CD pipelines; and improves operational efficiency. Provides technical leadership through architecture and code reviews, engineering standards, mentoring, documentation, and cross-functional collaboration with SRE, infrastructure, security, operations, and business teams.

Lead advisory engagements for manufacturing clients by reviewing financial reporting, analyzing KPIs, providing technical accounting guidance, recommending process improvements, developing budgets/forecasts, and mentoring staff while collaborating with offshore teams to improve service delivery.

Manage audit engagements, oversee daily operations, provide guidance on accounting matters, assist clients with compliance, and lead training programs.

Manage financial analyses, evaluate deal structures, and provide insights for clients while supervising junior members and ensuring quality deliverables.

Leads product planning and execution for assigned clients, translating client and market requirements into product features, business requirements, statements of work, and roadmaps. Partners with technology, development, analytics, support, marketing, and account teams throughout delivery. Acts as a product subject-matter expert, manages client communications, supports beta programs, monitors project KPIs, and helps define product vision, positioning, and customer value.

Own the vision, roadmap, development, evaluation, commercialization, and adoption of customer-facing Generative AI capabilities for hospitality software. Lead customer discovery, define intuitive and trustworthy AI experiences, establish quality and safety standards, and partner with engineering, design, security, legal, marketing, and commercial teams. Drive product delivery from experimentation through launch while measuring adoption, answer quality, customer outcomes, reliability, and business impact.

Own the full lifecycle and growth of strategic channel partnerships across associations, fintech, marketplaces, and distribution platforms. Drive revenue and GBV through performance optimization, QBRs, commercial negotiations, partner enablement, tier progression, and expansion initiatives. Build playbooks, health scoring, and scalable channel infrastructure while translating partner needs into product requests and coordinating cross-functional issue resolution.

Own customer support cases for Ivans digital products from initial contact through resolution. Troubleshoot configuration, data, integration, API, and potential product issues; perform root-cause analysis; guide onboarding and setup; document recurring solutions; and collaborate with Product, Engineering, and integration partners. Translate technical findings into clear customer communication and well-documented escalations.