Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product teams.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.

Lead design and implementation of Jane's customer data infrastructure: own event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Work cross-functionally with marketing, BI, product, and engineering to set standards, evaluate tooling (e.g., RudderStack), ensure privacy-compliant instrumentation, and build reliable, consistent data delivery to the warehouse.

Lead SMB and self-serve demand generation across paid media, website strategy, SEO, AEO, lifecycle marketing, and AI-driven growth initiatives. Manage a team of channel experts, optimize acquisition and activation with Growth Product, define measurement and attribution strategies, collaborate with Sales and Support, and build scalable programs that drive revenue and customer growth.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Build and operate the core BI platform: own ingestion, integration, modular dbt pipelines, and enterprise data models. Establish data quality, testing, governance, observability, and CI/CD. Monitor platform health, certify pipelines and data products, and mentor analytics engineers to enable trusted, self-service analytics and AI-augmented workflows.

Lead strategic growth analyses and modeling across marketing, pricing, and go-to-market initiatives. Own end-to-end analyses from problem structuring to executive presentation, forecast and monitor performance, design data sourcing, partner across Marketing and GM teams, and build repeatable frameworks and self-serve tools to drive growth decisions and implementation.