Top Tech Jobs & Startup Jobs in San Antonio, TX

Develop and deploy LLM and machine learning models for Airbnb Community Support. Responsibilities include automating LLM evaluation, curating synthetic datasets, analyzing customer issues, identifying model failure modes, building personalization models, exploring data, prototyping solutions, and communicating insights to cross-functional stakeholders. The role focuses on scalable, production-ready AI products and operational optimization.

Provides advanced network engineering and firewall expertise in a managed services environment. Owns complex incident resolution, root cause analysis, network project delivery, solution design, implementation, change validation, Palo Alto configuration, network hardening, legacy environment optimization, documentation, and technical mentorship. The role is remote from Brazil and requires fluent English, extensive enterprise networking experience, and deep Palo Alto Networks expertise.

Develop and productionize reinforcement learning, contextual bandit, ranking, and prediction models for real-time advertising optimization. Analyze auction dynamics, experimentation, counterfactual evaluation, and large-scale data to improve bidding, targeting, personalization, and campaign outcomes. Collaborate with engineering, science, and product teams to deploy, monitor, retrain, and evaluate high-throughput, low-latency models.

Own and deliver full-stack product features from problem definition through production using TypeScript, React, Next.js, Node.js, and Postgres. Collaborate with engineers, designers, program leads, and non-technical stakeholders to define solutions, write technical specifications, make tradeoffs, participate in code reviews and on-call rotations, and improve platform operations and safety tooling.

Own strategy, execution, optimization, reporting, and growth for a portfolio of paid media client accounts across search and social platforms. Lead client relationships, campaign testing, performance analysis, cross-functional collaboration, sales enablement, and account retention. Mentor or manage junior team members while contributing to media product development, process improvement, and departmental best practices.

Leads strategic, cross-organizational technical programs across product, engineering, and business teams. Responsibilities include building cross-functional teams, managing plans, dependencies, risks, deliverables, resources, and stakeholder escalations; improving processes and tools; promoting Agile practices; driving organizational change; and ensuring adherence to industry best practices. The role requires strong communication, organizational, change-management, and ambiguity-navigation skills.

Conduct outbound prospecting through cold calls and personalized outreach, research and prioritize target accounts, engage HSE, Procurement, and Operations stakeholders, qualify prospects, and book discovery calls. Maintain accurate Salesforce records, deliver qualified opportunities to Sales, collaborate with Marketing, use AI-assisted prospecting tools, and improve messaging and outreach processes.

Serve as post-sales primary contact for enterprise customers, driving onboarding, adoption, value realization, and renewals. Collaborate with solutions architects, support, product, and engineering to resolve issues, provide product expertise, train customers, and advocate customer needs internally.

Own creative strategy for organic social, paid acquisition, UGC, creators, and launches. Develop briefs, hooks, scripts, and copy; direct internal teams and external partners; establish repeatable production and testing processes; and use performance data to scale winning concepts. The role also shapes Rare Candy’s brand voice, messaging, launch plans, and creative reporting while partnering closely with Growth leadership and the CEO.

Leads Talon.One’s strategic accounts business across the Americas, owning revenue targets and managing Strategic Account Executives. Responsibilities include recruiting, coaching experienced sales representatives, navigating complex enterprise sales cycles, building scalable pipeline and forecasting processes, generating demand in retail and QSR loyalty segments, partnering cross-functionally, and reporting on revenue and forecast metrics.