Top Tech Jobs & Startup Jobs in Seattle, WA

Leads strategic marketing partnerships, manages partner relationships, and serves as the day-to-day contact across Marketing. Collaborates with product, consumer engagement, social, advertising, legal, and PR teams to launch and optimize partnerships. Understands partner business goals and industry issues, advocates internally, resolves business challenges, and supports strategic projects and new lines of business.

Leads T-Mobile Fiber portfolio strategy, product roadmaps, value propositions, pricing, business cases, hardware offerings, and end-to-end go-to-market launches. Uses consumer insights, competitive intelligence, segmentation, analytics, and financial modeling to identify opportunities, improve conversion, grow ARPU, and differentiate broadband products. Partners cross-functionally with Product, Pricing, Operations, Supply Chain, Finance, Sales, and Marketing teams while developing positioning, messaging, launch narratives, and channel enablement materials.

Leads software engineering teams delivering large-scale mobile products and supporting infrastructure in an Agile environment. Responsibilities include team management, hiring, coaching, development-process improvement, security and compliance, technical vendor oversight, and timely product delivery. The role requires experience with mobile authentication, contextual onboarding, home-screen experiences, AEM, MoEngage, analytics and business intelligence development, and applications serving millions of daily users.

Leads the consumer insights function, setting research strategy and translating qualitative, quantitative, and unstructured consumer data into actionable recommendations. Oversees mixed-methods research, fast-turn insights, AI-enabled research technology adoption, vendor partnerships, budgets, and capability building. Partners with marketing and product leaders to influence strategic decisions, manages a team of research professionals, and develops talent while balancing long-term research programs with rapid business needs.

Develops prepaid consumer marketing strategies and campaigns to increase customer experience, subscriber growth, and revenue per account. Uses customer insights, usage signals, propensity models, segmentation, and KPI analysis to identify opportunities and recommend strategies. Partners cross-functionally with product, retail, analytics, operations, and go-to-market teams to execute campaigns across outbound, digital, and retail channels. Tests and iterates plans, presents findings to senior leadership, and mentors team members.

Develop and maintain forecasting and machine-learning models for marketing performance, budget allocation, and customer acquisition trends. Diagnose model failures and drift using Python, R, and SQL; conduct scenario forecasting, statistical validation, experimentation, and media attribution analysis. Build dashboards in Tableau and Power BI, collaborate with marketing, finance, analytics, and data engineering teams, and scale models into production environments.

Leads corporate strategy initiatives for T-Mobile for Business by identifying growth opportunities, analyzing customer and competitor data, building financial and market models, and developing executive recommendations. The role partners with Product, Finance, Marketing, Technology, and Sales, supports retention and customer-base programs, prepares executive and board materials, and drives cross-functional alignment and change.

Owns the enterprise AI portfolio, product lifecycle, integrated roadmap, operating cadence, and cross-team delivery dependencies. Leads planning, portfolio reviews, executive forums, backlog management, prioritization, Agile ceremonies, risk resolution, and high-visibility initiatives. Partners with engineering, architecture, security, identity, and leadership teams to deliver AI products aligned with business goals, technical performance targets, employee satisfaction, and committed timelines.

Own the end-to-end enterprise AI training and adoption product lifecycle, including strategy, roadmap, training content, vendor coordination, product releases, and the AI Champion Network. Partner with technical teams, business leaders, vendors, and subject matter experts to drive safe AI adoption. Analyze usage, completion, and employee feedback data to prioritize improvements and measure outcomes across a distributed workforce.

Own the enterprise GenAI platform and MCP server product roadmap from strategy through production. Responsibilities include vendor and market research, feature prioritization, pilot execution, backlog and Agile ceremony management, technical delivery, security/privacy/legal reviews, stakeholder coordination, adoption tools, and release guidance. Success is measured by business impact, employee adoption, pilot-to-production speed, and technical performance.