Top Tech Jobs & Startup Jobs in Austin, TX

The Senior Compensation Manager will manage compensation programs, conduct market analysis, ensure pay competitiveness, analyze data, and collaborate with business leaders. They will also lead projects and apply AI tools in compensation tasks.

The Sales Analytics Manager will oversee sales analytics, implement AI-driven reporting solutions, and partner with various teams to enhance data governance and performance forecasting.

Provide L1 technical support for enterprise customers using Abnormals email and SaaS security platforms. Own inbound tickets, troubleshoot APIs and integrations, analyze logs, deliver root cause analysis, collaborate with Engineering and Customer Success, maintain knowledge base documentation, and surface product improvement opportunities.

Lead marketing analytics and root-cause investigations across the B2B SaaS funnel. Maintain data integrity and dashboards, monitor integrations (Marketo, Salesforce, 6Sense, Snowflake), quantify impact of trends, and recommend corrective actions. Architect and train AI/agent-driven analytics (Ask Anything), build semantic layers in Sigma/Snowflake, validate agent outputs, and partner with Revenue Marketing and Strategy teams to drive data-backed decisions and mentor junior analysts.

The Sales Development Representative will initiate contact with potential clients, identify needs, and qualify leads, aiming to meet sales targets while collaborating within a sales team.

Design and evolve FedRAMP High GovCloud platform infrastructure. Build reusable Terraform modules, manage Kubernetes production workloads, translate compliance into auditable AWS implementations, improve monitoring and operational readiness, mentor FedOps engineers, and adopt AI-assisted engineering workflows.

The role involves selling cybersecurity solutions to enterprise accounts, prospecting, managing deals, ensuring renewals, and collaborating with internal teams.

The Content Strategist will develop and activate cohesive marketing content across channels, support campaign messaging, and utilize AI tools for efficient content transformation.

Lead end-to-end delivery of high-impact AI Platform and Data Systems programs: define scope, plan milestones, track dependencies, manage risks, align executives, use AI to automate program workflows, and drive continuous improvement across cross-functional engineering teams.

Lead and grow a Mid-Market sales team: recruit, hire, enable, and manage sellers to exceed quota. Drive new business and pipeline generation, manage forecasts and deal inspection, partner with Sales Engineering on demos/POCs, expand customer renewals and upsells, and develop channel partnerships.