Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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.

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.

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.