Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

Provide day-to-day legal support for a fast-paced tech company: draft and negotiate commercial contracts, advise cross-functional teams (revenue, product, HR, finance, engineering), assist corporate governance and board preparations, support public company readiness, oversee global corporate administration and compliance, and help scale the legal function.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Lead Revenue Analytics by developing data-driven strategies to maximize revenue, own and improve data pipelines, run advanced experiments and causal analyses, lead cross-functional initiatives, mentor junior analysts, and embed AI tools into workflows to scale impact.

The Senior Software Engineer II will work on AI-driven solutions, developing and deploying scalable applications while mentoring engineers and collaborating with cross-functional teams.

As a Product Manager II, you will drive product strategy, manage lifecycle from discovery to launch, and leverage user data for decision-making. You'll collaborate with cross-functional teams and advocate for AI integration to enhance the customer experience while refining the product roadmap.

Build and maintain auditable data pipelines in Snowflake and dbt to ensure financial reconciliation and audit readiness. Partner with Accounting, Operations, Engineering, and Reporting to investigate data issues, improve integrations via APIs, and own claim reimbursement and contract sales data workflows.

Lead discovery, definition, and delivery of product features for merchants. Drive end-to-end lifecycle from PRDs to launch, use data, A/B testing, and user research, integrate AI where useful, collaborate with engineering and design, gather customer feedback, and prioritize roadmap and sprint activities.

Lead cross-functional teams to identify and implement revenue-driving strategies. Own revenue optimization, develop quantitative analyses (A/B testing, causal impact), improve data pipelines and tracking, embed AI into workflows, and present insights to leadership to scale and recover revenue.

Design and deliver polished, production-ready Figma experiences for consumers, merchants, and internal users. Own feature outcomes, iterate with research and analytics, collaborate with PMs and engineers, contribute to the design system, and use AI-assisted tools to accelerate prototyping and design consistency.