Top Tech Jobs & Startup Jobs in Seattle, WA

The Cooling Specialist executes and oversees cooling workflows, ensuring proper food plating temperatures, completion of cooling logs, and compliance with food safety regulations. They collaborate with the Food Safety team to provide training and track performance metrics.

Supervise marketplace receiving, inventory, storage, returns, and staff scheduling. Maintain organized, safe warehouse areas, operate pallet jacks, manage reorder levels, coordinate vendors, and implement process improvements to streamline receiving, ordering, and employee tasking. Provide day-to-day operational leadership and perform miscellaneous duties as assigned.

Join CookUnity's rapidly growing team to assist in various operational roles, ensuring efficient meal preparation, kitchen cleanliness, and inventory management. Experience is preferred, but all motivated applicants are welcomed.

The Senior Contractor Recruiter will partner with the Talent Acquisition team to oversee full-cycle recruiting for B2B roles, focusing on Sales, Partnerships, Customer Success, and Marketing. Responsibilities include building talent pipelines, engaging candidates, and mentoring hiring managers to optimize recruitment strategies.

Lead retention and churn efforts by building survival and lifecycle-state models, classifying churn reasons, creating personalized win-back and next-best-action interventions, optimizing offers/promos, designing uplift experiments, and owning production model lifecycle, monitoring, and MLOps across Product, CRM, Marketing, and Engineering.

Own and run end-to-end launch operations for CookUnity's Smart Fridge business scaling from ~$5M to $10M+ ARR. Manage site readiness, procurement, 3PL logistics, vendor networks, device configuration, onboarding, engagement, and concurrent product upgrade rollouts. Build repeatable launch playbooks, track launch KPIs, and drive cross-functional alignment with Sales, Tech, Logistics, and Finance. Frequent field work required.

The Senior Manager, Data Science/ML will lead a team to enhance product innovation through data science, focusing on ML and experimentation frameworks that boost customer engagement. Responsibilities include defining product strategy, building ML models, and collaborating with cross-functional teams to shape product roadmaps.

Own the end-to-end discovery experience across web and mobile (home, search, collections, product pages, cart). Set product vision and roadmap, partner with Design, Engineering, Data Science, and Merchandising, run experimentation, maintain core UI quality, and optimize conversion, retention, and checkout funnel metrics.