Top Tech Jobs & Startup Jobs in Austin, TX

Develop and deploy onboard swarm autonomy: perception, planning, control, multi-target tracking, inter-robot/C2 protocols, on-vehicle software integration, realistic UxS simulation, train and test ML-based target recognition, and electronics prototyping. Travel for test events up to 25%.

Leads Magnit’s migration from on-premises infrastructure to AWS-based cloud platforms and builds an internal developer platform using Kubernetes, GitOps, CI/CD, and infrastructure as code. Oversees cloud foundations, reliability, observability, security, networking, FinOps, vendor management, and data center exit activities. Establishes SRE practices, drives platform adoption and developer experience, and leads global cloud, platform, SRE, and network engineering teams while partnering with executives and cross-functional organizations.

Leads a team delivering SaaS implementations and customer onboarding for strategic accounts. Oversees project execution, milestones, escalations, capacity, KPIs, documentation, and customer handoffs. Coaches Implementation Managers, improves delivery processes, coordinates cross-functional partners, and ensures customers activate solutions and achieve value on schedule.

Design clear, accessible, responsive software experiences from user research and workflow analysis through implementation and review. Create flows, prototypes, interfaces, content, and edge-case behaviors in Figma; collaborate with product, engineering, and technology leadership; work within an existing design system; explain tradeoffs; review shipped implementations; and learn from real user behavior. Candidates may be junior through senior, with increasing ownership based on experience.

Supports Homebound’s in-house legal team across contracts, real estate transactions, licensing, insurance, warranty claims, sales agreements, homeowner disputes, litigation, and land acquisitions. Partners with business teams and outside counsel across multiple states, manages numerous concurrent matters, and provides practical legal guidance during market expansion and daily operations.

Manage and grow relationships with investor-owned utility customers across the Southeast and Mid-Atlantic. Develop account plans, increase market share, conduct account reviews, provide pricing guidance, identify opportunities, coordinate purchase agreements, and maintain CRM forecasts. Collaborate with product support, service, and marketing teams to resolve issues and drive customer-focused growth. The role requires 50% travel, utility or equipment industry knowledge, complex account management experience, and a valid driving record.

Design, develop, and scale mission-critical backend applications and distributed services. Build Python and Celery services, FastMCP services, Docker Swarm environments, and horizontally scalable architectures. Optimize Couchbase and NoSQL data systems, troubleshoot Linux-based distributed environments, and apply cloud-native AWS practices. Collaborate cross-functionally to deliver secure, reliable solutions while using spec-driven development and AI coding tools.

Handle complex customer escalations, advocate for customers across public channels, coach support agents, audit ticket quality, identify support trends, improve processes, train agents, and maintain Help Center and internal documentation. The role requires strong written communication, de-escalation skills, customer-focused judgment, and independence in a remote asynchronous environment.

Own an enterprise customer portfolio from deployment through adoption, renewal, and expansion. Build success plans, drive platform adoption and value realization, manage retention risks, negotiate commercial agreements, and identify expansion opportunities. Partner with Sales, Product, Engineering, Professional Services, Support, systems integrators, procurement, InfoSec, and legal. Lead executive-level workshops and business reviews while managing ARR, NRR, GRR, usage, adoption, and CSAT/NPS metrics.

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.