Top Tech Jobs & Startup Jobs in Seattle, WA

Design and ship enterprise product experiences for configuring, managing, and using Read AI across organizations. Simplify complex workflows, settings, permissions, navigation, and information-dense interfaces while ensuring clarity, consistency, trust, and recovery across user states. Partner with Product, Engineering, and Research from exploration through implementation, using prototypes, research, customer feedback, and product data to guide decisions.

Owns full-cycle technical recruiting for Product, Design, or Engineering, managing 6+ searches from intake and sourcing through interviews, offers, and close. Partners with hiring managers, builds passive talent pipelines, runs calibrated interview loops, maintains Ashby recruiting operations, reports on pipeline health, and improves recruiting processes using AI tools and automation. The role covers early-career through senior individual contributors, managers, and directors in a fast-growing startup.

Build and maintain scalable fullstack web and desktop applications across frontend and backend systems. Develop React and TypeScript interfaces, RESTful APIs, microservices, and backend services using technologies such as Node.js, Java, Python, and AWS. Collaborate with product and design teams, participate in code reviews and systems design, troubleshoot performance issues, and contribute to Agile and CI/CD processes.

Own Read AI’s upmarket sales strategy, targeting enterprise segments, sourcing and closing complex B2B SaaS deals, developing reseller and technology partnerships, and converting product-led adoption into larger agreements. The role requires close collaboration with product, marketing, and customer success, experimentation with pricing and sales plays, and eventual hiring and coaching of a sales team.

Own product design for growth surfaces, including onboarding, activation, paywalls, upgrade prompts, and trial-to-paid conversion. Partner with product managers, engineers, and data teams to identify funnel drop-offs, design experiments, interpret results, and improve activation and monetization. Establish growth design workflows, reusable patterns, and components while contributing design-led hypotheses to roadmap planning.

Lead and scale post-sale customer organization across strategic account management and high-volume customer success operations. Oversee enterprise account management, retention, expansions, and a technical support organization; drive AI/automation, operational reporting, customer feedback loops into Product/Engineering, and cross-functional partnerships to improve onboarding and support efficiency.

Own Read AI’s product marketing strategy as a hands-on senior individual contributor. Define positioning and messaging, develop customer-backed use cases, lead product launches, manage website narrative and conversion, enable Sales and Customer Success, and measure adoption and retention. The role also runs voice-of-customer research, tracks competitive intelligence, and supports both self-serve and enterprise go-to-market motions for an AI-powered collaboration platform.

Own brand and creative execution across visual identity, video, social, campaigns, launches, marketing websites, and sales enablement. Create short-form videos, product demos, landing pages, campaign variants, launch assets, and platform-specific social content. Partner with growth, product marketing, product design, and web development teams to translate complex AI capabilities into compelling visual stories. Use performance data to improve creative while maintaining brand quality and consistency.

Own major features across iOS and Android, including real-time audio capture, AI-powered interactions, performance optimization, offline support, synchronization, security, and scalable mobile architecture. Partner with product, design, and ML teams to deliver reliable mobile experiences. Provide technical leadership through mentoring, code reviews, hiring, and engineering standards.

Define strategy and priorities for organizational intelligence products that connect fragmented workplace context across conversations, tools, teams, and time. Lead customer discovery, problem framing, prototyping, product launches, measurement, and iteration. Partner with Engineering, Design, Data Science, Enterprise, Platform, and go-to-market teams to create trustworthy AI experiences emphasizing relevance, provenance, privacy, permissions, and customer control.