Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and scale Scrunch's legal function: own commercial contracting, privacy/compliance, corporate governance, employment support, outside counsel management, and support fundraising and transactions.

Drive new business through outbound prospecting, develop partner relationships, maintain a strong pipeline, meet sales quotas, conduct meetings and demos, and coordinate information across the sales cycle.

Partner with customers to support SDK and API integrations, debug web and mobile issues, read and contribute to code, escalate and resolve technical problems, identify recurring issues, and collaborate cross-functionally to improve product and documentation.

Lead end-to-end finance operations for a growth-stage SaaS company, overseeing accounting, FP&A, revenue recognition, cash and liquidity planning, compliance, and auditing. Partner with CEO and cross-functional leaders on strategy, pricing, HR/PeopleOps and RevOps, build financial models, KPIs, and dashboards, and scale finance processes and team members to support rapid growth.

Lead the full-cycle sales process for strategic enterprise clients in wealth management, focusing on relationships with C-suite stakeholders and closing seven-figure deals.

The Senior Brand Designer will lead visual design for the marketing website, create web design systems in Figma, and collaborate with marketing and engineering teams to ensure brand consistency and quality implementation.

Translate and review marketing and social media content from English to Indonesian, ensuring clarity and readability for the target audience.

The Product Marketing Manager will shape go-to-market strategies, develop product positioning and messaging, support sales enablement, and analyze market intelligence to drive growth.

The Senior Data Analyst role involves partnering with leaders to define metrics, translating data into strategic actions, and ensuring data quality across sales and marketing teams.

The Azure Data Architect designs and manages enterprise data architectures, translating business needs into scalable solutions, while ensuring best practices in data management.