Top Tech Jobs & Startup Jobs in Austin, TX

Leads Zadara’s North America sales organization, setting regional strategy, developing pipeline, driving revenue, and managing forecasting discipline. Builds and coaches a high-performing sales team, expands enterprise customer relationships, supports strategic opportunities, and collaborates with Marketing, Partnerships, Solutions Architecture, and Customer Success. Requires extensive B2B technology sales leadership experience, enterprise relationship management, and a record of exceeding large revenue quotas.

Leads full-cycle recruiting for Intelligence Community programs, developing sourcing strategies for highly cleared technical professionals. Builds pipelines of TS/SCI and polygraph-cleared candidates, partners with program leaders and hiring managers, manages competing requisitions, provides market intelligence, and supports proposals, business growth, and contract staffing. Focus areas include software engineering, cybersecurity, AI/ML, cloud, DevOps, systems engineering, and SIGINT talent.

Designs, deploys, administers, and troubleshoots Linux-based infrastructure supporting US Antarctic Program systems. Responsibilities include RHEL administration, virtualization, OpenShift clusters, backups, monitoring, security hardening, automation, DNS, Git, documentation, technical leadership, and 24x7 escalation support. The role may involve temporary Antarctic deployments and requires U.S. citizenship, Public Trust clearance, and NSF physical and dental examinations.

Operate and improve large-scale AI compute, storage, and networking infrastructure in 24x7 environments. Responsibilities include capacity planning, performance analysis, patching, upgrades, firmware management, automation, incident response, documentation, disaster recovery testing, and L3 escalation support. The role also requires customer collaboration, operations enablement, and participation in an on-call rotation while supporting OpenStack or similar private cloud platforms.

Designs, deploys, integrates, validates, and operates infrastructure supporting large-scale AI compute clusters. Responsibilities include Linux systems, virtualization, storage, identity and security services, infrastructure automation, provisioning, testing, production acceptance, Tier 3 escalation, troubleshooting, reliability optimization, and lifecycle management. The role collaborates with engineering teams, vendors, NOC personnel, SREs, and data center technicians across multiple sites, including travel for commissioning and complex troubleshooting.

Support and improve large-scale network infrastructure for AI and HPC workloads. Responsibilities include production incident response, network fault resolution, on-call support, observability improvements, automation, documentation, customer collaboration, and reliability initiatives across multi-site GPU clusters.

Coordinate and execute software deployments across staging, testing, and production environments. Build and maintain CI/CD pipelines, automate deployment processes, troubleshoot failures, manage cloud configurations, perform post-deployment testing, and maintain deployment documentation and tooling. Collaborate with development, product, and operations teams to deploy and sustain mission-critical technology in DoD network environments while ensuring security, operational compliance, and deployment readiness.

Own and grow Higgsfield AI’s highest-value enterprise accounts by driving revenue expansion, renewals, upsells, adoption, and long-term partnerships. The role develops strategic account plans, leads complex negotiations, builds C-suite relationships, identifies cross-business opportunities, conducts executive reviews, and translates AI capabilities into measurable business value. It also partners across Product, Engineering, Marketing, Customer Success, and leadership while managing forecasting, pipeline, and enterprise growth initiatives.

Own full-cycle recruiting for senior and staff-level engineering roles, especially backend, infrastructure, systems, Rust, and database positions. Partner with Engineering leaders on hiring profiles, build outbound pipelines, manage interviews and closing, oversee agencies and referrals, analyze recruiting funnel data, and support talent branding. The role requires technical fluency, strong sourcing instincts, startup experience, and the ability to influence hiring decisions.

Leads North American business development teams responsible for qualified pipeline generation. Oversees hiring, onboarding, coaching, performance management, prospecting strategy, KPI tracking, CRM hygiene, training, and cross-functional alignment with Sales, Marketing, Enablement, and account executives. Drives continuous improvement in outbound and inbound prospecting, team productivity, qualification consistency, and forecast accuracy while building a high-performing, accountable culture across U.S. and Canadian teams.

Leads Fixed Networks business execution by consolidating performance inputs, running operating reviews, integrating go-to-market metrics, and coordinating cross-functional execution. Establishes governance routines, identifies risks and performance gaps, drives corrective actions, and connects operating priorities with strategy, planning, forecasting, and transformation governance. Uses automation and AI-enabled tools to improve reporting, meeting preparation, decision-making, and action tracking.

Lead the architecture and implementation of scalable, secure cloud data platforms for Nokia’s photonic integrated circuit operations. Build high-performance batch and streaming pipelines, enterprise data models, quality and observability frameworks, DataOps automation, governance, and AI-ready data foundations. Enable trusted self-service analytics and AI-assisted exploration while leading and mentoring product engineering teams and driving technical excellence.

Owns and optimizes HubSpot, marketing automation, lead lifecycle management, campaign operations, data governance, segmentation, attribution, reporting, and marketing technology integrations. Supports demand generation, webinars, events, product launches, customer and partner marketing, and go-to-market initiatives. Manages Asana workflows, project governance, vendor relationships, AI-enabled tools, and stakeholder enablement while improving marketing efficiency, data quality, campaign performance, and revenue contribution.

Build and operate a multi-cloud, multi-tenant platform for distributed LLM inference. Responsibilities include developing fault-tolerant services across cloud and hardware environments, improving observability and cold-start performance, and creating Helm charts and Kubernetes operators for scalable deployments. The role requires backend engineering, distributed systems, cloud infrastructure, Kubernetes, and machine learning experience.