Top Tech Jobs & Startup Jobs in Seattle, WA

As a Customer Success Manager, you will drive adoption and revenue growth for AI solutions, manage Enterprise accounts, and ensure customer success through strategic execution and relationship management.

The Scaled Support Specialist diagnoses complex technical issues, communicates effectively with developers, and advocates for product improvements while staying current with the LLM ecosystem.

Act as the technical lead in enterprise sales: run technical discovery, design and deliver customized demos and POCs, assess API/cloud/model fit, address technical objections, support contract negotiations, and relay product feedback to engineering while staying current on AI/ML trends.

Lead revenue operations for GTM at a scaling AI company: define GTM architecture, run annual planning, design incentives and quotas, own GTM systems roadmap and data governance, eliminate manual processes via automation, partner on forecasting and financial controllership, and hire and lead a small ops team.

Manage model launches and provider onboarding in an AI marketplace, focusing on integration, QA, and internal tooling improvements.

The role involves building user-facing features, collaborating with product and design teams, and ensuring high-quality product delivery while optimizing performance across systems.

The Software Engineer will scale and optimize the platform's infrastructure, manage data layers, and enhance system operations to support growing LLM requests.

Lead the enterprise product roadmap for identity, governance, security, spend controls, and admin tooling. Partner with Fortune 100 design partners, sales, and engineering to translate procurement, compliance, and security requirements into shipped features that enable land-and-expand growth and enterprise-wide adoption of OpenRouter.

Lead and scale the provider program end-to-end: design lifecycle (sourcing→onboarding→activation→QBR→renewal), build tiering and SLAs, create repeatable playbooks and self-serve onboarding, run flagship programs (MPEAP, verified/certified tracks), own compliance cadence, and coordinate cross-functional operations with Product, Engineering, Legal, Finance, and Security.

Qualify and onboard inbound and sourced model and inference providers end-to-end: scope integrations, troubleshoot APIs, coordinate with Product/Engineering/Support, and keep a high-velocity pipeline so providers go live quickly.