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Develop and maintain Java and Spring Boot backend services connecting eCommerce systems with GoDaddy’s data platform. Responsibilities include designing, testing, troubleshooting, reviewing, and operating cloud-native services in AWS, participating in Agile development, collaborating with cross-functional stakeholders, and improving applications and engineering practices.
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Lead product initiatives for GoDaddy’s global eCommerce platform across catalog, pricing, ordering, provisioning, and renewals. Own roadmap development, discovery, prioritization, requirements, acceptance criteria, and feature delivery. Partner with engineering and cross-functional teams, use data and experimentation to guide decisions, and support platform reliability, security, compliance, and modernization efforts across distributed teams.
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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.
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Provide technical support to customers through a CRM, troubleshoot hosting and web-related issues, collaborate with inbound support teams, escalate product issues, and improve customer satisfaction. The role requires familiarity with Linux or Windows hosting, LAMP or WAMP environments, DNS, HTML, CSS, and optionally PHP, cPanel, Plesk, WordPress, and AI tools.
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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.
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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.
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Leads GoDaddy’s end-to-end corporate development and M&A activities, including deal sourcing, investment thesis development, diligence, financial modeling, valuation, negotiation, executive recommendations, and post-merger integration planning. The role requires cross-functional leadership across Finance, Legal, Tax, Strategy, Product, Partnerships, and business teams, plus relationship management with investment banks and industry partners.
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Leads GoDaddy’s highest-priority corporate strategy initiatives, addressing growth markets, competitive dynamics, capabilities, resource allocation, partnerships, and M&A. Converts ambiguous executive questions into rigorous analyses, strategic recommendations, business cases, and implementation plans. Advises senior leaders, drives cross-functional initiatives, builds repeatable strategy capabilities, and communicates clear recommendations that produce measurable business outcomes.
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Own end-to-end M&A workstreams, including sourcing, financial modeling, valuation, due diligence, negotiations, and closing support. Assess strategic opportunities, conduct market and competitive research, coordinate cross-functional deal teams, maintain relationships with industry participants and advisors, and support post-merger integration. Develop executive-ready investment materials, communicate transaction recommendations, and contribute to repeatable corporate development processes.
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Provide first-contact customer support and troubleshooting for hosting products through messaging. Research moderately complex issues, guide customers through CMS, cPanel, Plesk, and custom interfaces, and resolve problems using FTP and MySQL. Consult with customers to match GoDaddy solutions to their online goals, meet sales and quality targets, collaborate across departments, and support teammates with technical queries.
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Design, build, and maintain highly available APIs and distributed services supporting millions of customers. Manage and optimize AWS cloud infrastructure using Infrastructure as Code, CI/CD, containers, and automation. Improve system performance, reliability, and security; monitor and troubleshoot production issues; apply AI-enabled tools; and collaborate across engineering teams to deliver resilient, customer-focused solutions.
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Lead complex analytics across renewals and media, integrating data from multiple sources to identify performance drivers, opportunities, and strategic recommendations. Build executive dashboards, Excel models, and presentations; use AI to improve analytical efficiency; partner with Finance and business leaders; establish SQL and dashboarding best practices; mentor analysts; and strengthen measurement frameworks.
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Handle high-volume inbound customer calls, identify needs, troubleshoot technical issues, recommend GoDaddy products, and close sales. Maintain product and pricing knowledge, respond to technical inquiries across channels, meet customer service and sales metrics, and support outbound sales when needed. The role requires target-driven performance, confident communication, and the ability to explain online business solutions.
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Leads GoDaddy’s Commerce Support organization and strategy for merchant onboarding, activation, adoption, retention, and growth. Oversees customer-facing teams, service delivery, workforce planning, operational performance, and P&L management. Drives AI-enabled support transformation through automation, agent assistance, self-service, analytics, and process modernization. Partners with Product, Engineering, Sales, Risk, and GTM leaders to improve merchant outcomes, increase product adoption, reduce churn, and scale operational efficiency.
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Lead requirements and architecture for GoDaddy’s PKI and Certificate Authority platform. Translate CA/Browser Forum standards into technical specifications, compliance automation, testing frameworks, and resilient infrastructure designs. Guide certificate lifecycle automation, HSM and key management, cryptographic modernization, post-quantum migration, API capabilities, and high-availability systems. Partner with security and engineering teams on threat modeling, architecture reviews, documentation, and vulnerability management while mentoring engineers on PKI and cryptography.
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Operate and scale GoDaddy’s OpenStack-based global hosting infrastructure across compute, networking, and storage. Lead migration tooling, validation, and rollback strategies; automate operational tasks with Python and Puppet; improve observability; participate in on-call and incident response; conduct blameless post-incident reviews; review designs, document systems, mentor junior SREs, and support AI-assisted operational workflows.
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Lead frontend search and discovery work: design, implement, and ship React/Node.js web experiences, own production reliability and experimentation, mentor peers, and build internal tools and automation to improve shipping processes.
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Build and improve Ironclad contract lifecycle management workflows, including intake, approvals, document generation, e-signature, and post-signature tracking. Maintain templates, clause libraries, data structures, and reporting; monitor platform performance; resolve issues; and support releases. Partner with Legal, Procurement, Privacy, Security, and Finance to automate contracting processes, improve data quality, support migrations, and deliver scalable self-service solutions.
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Owns end-to-end lifecycle email marketing campaigns, including strategy, audience segmentation, copywriting, creative direction, campaign builds, QA, deployment, analysis, and optimization. Uses Salesforce Marketing Cloud and SQL for audience management and measurement. Partners with Product, Marketing, Design, Analytics, and Engineering teams to deliver campaigns, define performance metrics, and establish an experimentation roadmap.
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Founding member of a Sales Intelligence team building backend services and Salesforce solutions. Design and implement lead scoring, routing, and AI-powered features using LLMs, embeddings, and retrieval systems. Build APIs in Java/TypeScript, integrate with Salesforce (Apex, LWC, Flows), collaborate with Sales and Data Science, own full software lifecycle, and establish engineering practices and team foundations.
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