Top Tech Jobs & Startup Jobs in Austin, TX

Lead GoDaddy’s developer platform growth function, making the platform discoverable and recommended by developers and AI systems. Own agent engine optimization, AI-agent distribution, platform partnerships, developer GTM channels, community engagement, change communications, events, and platform storytelling. Build cross-functional programs with product, engineering, partnerships, and marketing teams while measuring platform-led growth through AI referrals, citations, adoption, provisioning, attach, and retention.

Lead architecture and build platform services for GoDaddy's Internal Developer Platform used by 1,000+ engineers. Design high-scale APIs, infrastructure orchestration, and AI-powered developer tooling. Partner with infrastructure, security, and platform teams. Own production systems (performance, reliability, on-call) and drive technical direction to improve developer productivity across APIs, CLI, and UI.

Handles inbound customer inquiries through phone, email, and chat; troubleshoots technical issues, identifies customer needs, recommends GoDaddy products, and drives sales. Maintains product and pricing knowledge, meets service and sales metrics, and supports outbound sales efforts when needed. The role requires working some nights, weekends, and holidays.

Own go-to-market and product marketing for GoDaddy’s financial services offerings, including capital, instant payouts, business banking, debit cards, and insurance. Develop positioning, pricing, packaging, lifecycle campaigns, audience segments, experiments, customer research, and launch strategies. Partner with product, sales, and partner teams to drive adoption, engagement, cross-sell opportunities, and revenue growth among small business customers.

Owns the full lifecycle and roadmap for point-of-sale payment hardware, including proprietary and third-party terminals, accessories, device operating systems, and checkout experiences. Manages OEM/ODM and supplier relationships, product requirements, development and certification cycles, payments functionality, and business outcomes such as cost, margin, NPS, churn, and competitive performance.

Secure, operate, and modernize enterprise directory services across Windows and Linux environments. Manage Active Directory, DNS, certificate services, authentication, replication, and Linux integrations. Investigate complex identity issues, implement hardening and privileged access controls, improve monitoring and audit readiness, and develop automation, standards, and runbooks. Collaborate with security, infrastructure, cloud, and application teams to strengthen resilience and reduce operational risk.

Leads growth strategy and go-to-market execution for GoDaddy Commerce’s higher-value merchant segment. Responsibilities include merchant research, positioning, sales enablement, demand generation, experimentation, SaaS adoption, pricing and offer optimization, product launches, performance measurement, unit economics, and cross-functional alignment across Sales, Product, Marketing, Finance, and Analytics.

Build and deploy AI agents, intelligent applications, scalable backend services, APIs, and full-stack solutions. Integrate large language models, AI services, data platforms, and external APIs into customer-focused products. Collaborate with engineering, product, and cross-functional teams while contributing to cloud-native applications, data pipelines, distributed systems, testing, deployment, and production operations.

Lead the design and evolution of infrastructure, platforms, and services that run machine learning workloads in production. Build scalable distributed systems, cloud-native applications, CI/CD pipelines, observability, and ML model-serving infrastructure on AWS. Drive architecture, performance, reliability, cost optimization, and GPU workload management while collaborating with ML scientists, data engineers, and product teams. Mentor engineers and lead complex technical initiatives across a globally distributed organization.

Lead design, development, and production deployment of ML and generative AI solutions at scale. Drive personalization, pricing, experimentation, agentic AI, and simulation modeling. Partner with engineering and product teams, mentor engineers, influence technical strategy, and measure business impact through data-driven experimentation.