Top Tech Jobs & Startup Jobs in Seattle, WA

4 Days AgoSaved
Remote
United States
Expert/Leader
Expert/Leader
Artificial Intelligence
Lead Prolific’s participant growth strategy across acquisition, activation, engagement, and retention. Build scalable acquisition channels, partnerships, and growth operations while managing a multidisciplinary team spanning marketing, recruitment, partnerships, and community. Use funnel metrics, cohort analysis, CAC, LTV, and marketplace data to drive decisions. Partner with Product, Engineering, Data Science, and Operations to improve participant journeys, automate processes, and deliver sustainable marketplace growth.
One Month AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence
Manage the operational delivery of human data for a strategic AI customer. Responsibilities include translating requirements into workflows, managing participant pools and onboarding, tracking supply and quality, leading cross-functional projects, resolving operational issues, documenting processes, and improving scalability with Product and Engineering. The role also supports participant assessment and certification programs while serving as an operational point of contact for delivery teams.
Top Skills: Ai/Ml Data OperationsCrowdsourcing PlatformsData AnnotationData Labeling
One Month AgoSaved
Remote
United States
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence
Leads complex AI client projects from requirements gathering through delivery, serving as the primary client contact and coordinating Sales, Operations, Product, and Engineering. Responsibilities include defining scopes and delivery plans, managing risks, quality, timelines, budgets, profitability, and KPIs, resolving execution challenges, and improving scalable processes for AI project delivery.
Top Skills: Artificial IntelligenceMachine Learning
Reposted 2 Months AgoSaved
Remote
USA
Senior level
Senior level
Artificial Intelligence
Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.
Top Skills: PythonSQL
Reposted 2 Months AgoSaved
Remote
United States
Mid level
Mid level
Artificial Intelligence
The Participant Recruitment Partner will identify and engage top-tier participants, manage client-specific recruitment operations, and enhance the participant pool quality through data-driven insights and collaboration.
Top Skills: LinkedInWelcome To The Jungle
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