Top Tech Jobs & Startup Jobs in Seattle, WA

Lead product strategy and roadmap for a new venture from MVP through product-market fit and scale. Own outcome briefs, weekly planning, customer research, prioritization, success metrics, and launches. Partner closely with engineering, design, sales, marketing, support, and operations to simplify workflows, validate customer value, and build scalable onboarding, reliability, self-service, and integrations. Use data and AI tools to guide decisions, prototype, research, and improve product outcomes.

Lead a four-person engineering team building a new product from concept through MVP and beyond. Act as a player/coach by writing code, fixing bugs, triaging customer issues, shaping architecture, and driving rapid weekly sprints with Product. Establish lightweight engineering practices, coordinate cross-team dependencies, incorporate modern tools, and maintain close customer feedback loops while balancing speed, quality, and long-term viability.

Build and deploy statistical and machine learning models for the Toast platform. Collaborate with product, engineering, and business teams to identify opportunities, develop data-driven solutions, evaluate models, and communicate insights to stakeholders. Work in a fast-paced environment and contribute to production ML systems and experimentation.

Develop and scale full-stack web applications for Toast’s digital storefront, including online ordering and website products. Design solutions, improve performance and usability, collaborate with Product and Design, run experiments, resolve critical issues, and contribute to API design, testing, and cross-team product integration.

Own a regional mid-market SaaS customer portfolio of 16–50 locations. Build executive relationships, drive product adoption, retention, expansion, and referrals, identify churn risks, lead strategic business reviews, facilitate demos, manage escalations, and coordinate cross-functional teams. The role requires consultative account management, strong communication, independent prioritization, and the ability to influence senior decision-makers.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Own end-to-end onboarding and implementation for large enterprise sports and entertainment customers. Manage 50+ concurrent projects across 500+ revenue centers, coordinating timelines, milestones, risks, stakeholders, and cross-functional handoffs through rollout. Serve as a trusted advisor to executive clients, drive scalable process improvements, and ensure successful implementation outcomes using disciplined project management and tools including Salesforce and Google Workspace.

Own end-to-end onboarding and implementation for complex enterprise hotel customers with 500+ locations. Manage 50+ concurrent implementations from contract through activation and adoption, coordinating milestones, risks, communications, and cross-functional delivery. Serve as a trusted advisor to executive stakeholders, drive scalable process improvements, and ensure projects meet customer goals, timelines, and scope using Salesforce, Asana, and Google Workspace.

Manages relationships and support for enterprise restaurant franchisees, owning requests through resolution, quarterbacking escalations, identifying retention and upsell opportunities, and partnering with Customer Success Managers on account strategy. The role requires cross-functional collaboration, proactive outreach, QBR preparation, accurate account documentation, and strong knowledge of customer operations and Toast’s product suite.

Support Toast’s enterprise data governance program by managing governance dashboards, business glossaries, metadata standards, compliance monitoring, documentation, stewardship training, and data quality tracking. Collaborate with Engineering, Analytics, Legal, and data catalog teams to translate business definitions into technical specifications, automate data discovery, facilitate governance workshops, and improve data management and AI governance practices.