Top Tech Jobs & Startup Jobs in Austin, TX

Lead relevance evaluation and quality improvements by fine-tuning LLMs, building low-latency reranking and filtering systems, scaling LLM deployments, creating automated monitoring pipelines and agentic insights, and validating impact via A/B tests while collaborating with cross-functional teams.

Own and manage full enterprise sales cycles for LATAM accounts: build relationships with decision-makers, negotiate terms, close six-figure deals, marshal engineering resources, and relay customer feedback to product teams to drive adoption and product improvements.

Lead and develop a team of Enterprise Account Executives to drive strategic, consultative enterprise SaaS sales. Hire, onboard, enable, and coach AEs; manage long, complex deal cycles, negotiate with procurement and C-level stakeholders, and report pipeline and sales metrics to Head of NA Sales.

Own activation and growth of AI-powered email recommendation programs. Onboard clients, guide ESP integrations and feed setup, advise on promotional/triggered/lifecycle use cases, analyze performance to improve CTR/AOV/LTV, and drive revenue through upsell and expansion while influencing product and GTM strategy.

Own the end-to-end integration journey for developer customers and SIs, improving SDKs, tracking, validation tooling, and docs to reduce time-to-value, defects, and escalations while partnering cross-functionally and defining CDX+CDI KPIs.

Design, build, and maintain scalable AWS infrastructure using IaC. Improve CI/CD pipelines, implement monitoring and observability, automate routine infrastructure tasks, manage cross-account AWS environments, and advise engineering teams on best practices to ensure reliability, security, and performance.

Build and own production backend services in Python for a large-scale ecommerce search platform. Work with SQL-heavy systems, monitoring/alerting, and debugging user-facing systems. Deliver maintainable software via tests, code review, and incremental delivery. Collaborate on data integrations and optional ETL/ELT workflows with PySpark; apply SEO, API/auth, and unstructured data knowledge when needed.

Build and maintain Python backend services for experiment assignment, logging, and report generation. Improve scalability, performance, and reliability of experiment reporting pipelines. Add product-facing UI features, take technical ownership of projects, and participate in weekly on-call rotation. Collaborate with Search/Recommendations, ML/DS, and customer-facing teams.