Top Tech Jobs & Startup Jobs in Austin, TX

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.

Supports Solutions Engineers and Account Executives with customer discovery, technical demonstrations, use-case development, requirements documentation, AI workshops, and consultative technical sales. Learns Talkdesk’s cloud contact center, AI, automation, analytics, and integration capabilities while collaborating across product, engineering, sales, marketing, and customer success teams. Builds presentation, consulting, technical, and customer-facing skills through mentorship and hands-on experience. Travel to customer meetings, internal events, and team sessions may be required.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.

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.

Leads BPO quality assurance operations and mentors Quality Analysts. Oversees interaction evaluations, QA frameworks, scorecards, calibration, coaching, reporting, compliance, and performance improvement. Analyzes quality trends, recommends corrective actions, and collaborates with Operations, Training, and Workforce teams to meet KPIs, SLAs, and client standards.

Leads client projects by creating plans, setting milestones, allocating resources, delegating tasks, coordinating internal teams, and managing client communications. The role leads weekly client meetings, aligns projects with executive or board goals, performs quality control, adjusts schedules, and motivates team members to meet deadlines. It also requires frequent email and project-system monitoring, strong communication, problem-solving, organization, and independent initiative.

Manage full-cycle recruiting for technical and non-technical roles, especially aerospace engineering, manufacturing, quality, production, and support positions. Develop sourcing strategies, build talent pipelines, coordinate interviews, negotiate offers, and support pre-onboarding. Partner with hiring managers and HR business partners, monitor talent market trends, improve recruiting workflows, ensure compliance with EEO and OFCCP requirements, and deliver a strong candidate experience.