Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the design and development of Mozilla’s data platform, processing tens of terabytes daily. Builds GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow; evaluates technologies; establishes engineering standards; partners with Data Science, Product, Legal, Policy, and Engineering; develops data abstractions; mentors engineers; and supports evolving data products.

Design and improve large-scale data processing and platform systems handling tens of terabytes daily. Build GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow; evaluate technologies; establish engineering standards; lead cross-functional projects; mentor engineers; collaborate with Data Science; and develop data abstractions and active data products.

Own full-stack AI product features from concept through launch, adoption, and iteration. Translate user, partner, and enterprise needs into reliable product experiences involving AI chat, search, research, workflow automation, administration, and integrations. Build and test across front-end, back-end, APIs, and infrastructure-adjacent areas; make product and technical tradeoffs; measure adoption and reliability; and establish reusable engineering patterns. Collaborate with product, design, enterprise teams, leadership, open-source contributors, and external partners in a remote environment.

Manage a portfolio of major donors, personally solicit and close five-, six-, and seven-figure gifts, and advance relationships through cultivation, solicitation, and stewardship. Maintain accurate Salesforce records, identify and qualify prospects, develop tailored proposals and impact stories, deliver stewardship activities, and partner with executives, program staff, and prospect research. The role also supports donor renewal, increased giving, annual-to-major gift pathways, and consistent revenue growth.

Build and own full-stack AI product features from concept through launch, adoption, and iteration. Translate user, partner, product, and enterprise requirements into reliable experiences for AI chat, search, research, workflow automation, administration, and integrations. Collaborate across engineering, product, design, enterprise teams, and open-source contributors. Evaluate AI tooling, make technical and product tradeoffs, write maintainable tested code, measure product adoption and reliability, and establish reusable patterns for an enterprise-ready open-source platform.

Owns multi-entity accounting across nonprofit and for-profit organizations, including general ledger operations, financial close, reporting, treasury, tax coordination, audits, internal controls, reconciliations, and accounting systems. The role prepares financial statements, manages inter-company accounting, supports budgeting and forecasting, coordinates compliance and external advisors, and improves scalable finance processes and systems.

Lead design-engineering for Thunderbolt by turning ambiguous AI product ideas into prototypes and production-ready front-end experiences. Build prototypes in the codebase, define AI interaction patterns, improve usability/accessibility, create reusable components and design-system elements, and partner with cross-functional teams to ensure enterprise readiness, security, and user trust.

Build functional prototypes and production-quality front-end experiences for Thunderbolt, an open-source AI client. Translate ambiguous ideas and enterprise needs into usable workflows, interaction patterns, and AI-powered product experiences. Collaborate with product, design, engineering, and enterprise teams; contribute code, reusable components, design-system elements, accessibility improvements, and user-centered guidance around trust, privacy, security, permissions, and responsible AI.

Lead Mozilla Firefox’s global Marketing Data Science strategy and roadmap. Own measurement for attribution, ROI, campaign performance, brand impact, retention, and lifetime value. Develop capabilities for budget optimization, causal lift testing, audience segmentation, reporting, dashboards, scalable data models, and internal tools. Lead and develop the team, prioritize complex workstreams, partner with marketing and data science leaders, communicate actionable insights, and responsibly evaluate emerging AI tools.

Lead Mozilla Firefox’s Marketing Data Science strategy, roadmap, and team capabilities. Own global marketing data strategy, attribution, ROI and campaign measurement, budget optimization, lift testing, brand impact analysis, retention and lifetime-value modeling, audience segmentation, reporting infrastructure, dashboards, data models, and internal tools. Mentor talent, prioritize complex initiatives, communicate insights to varied stakeholders, and responsibly evaluate AI tools that improve marketing workflows and support business growth.