Top Tech Jobs & Startup Jobs in Seattle, WA

Build full-stack product capabilities from concept to production; prototype and validate ideas with customers; own features end-to-end across frontend, backend, APIs, and infrastructure; improve developer experience, testing, and reliability; contribute to product and technical strategy in a fast-moving startup environment.

Customer-facing senior engineer who designs, builds, and deploys production AI-powered solutions. Works directly with customers to gather requirements, integrate and automate systems, troubleshoot across app/infrastructure layers, and translate feedback into product improvements. Owns projects end-to-end, develops reusable scalable solutions, and improves deployment, observability, and reliability while partnering with Product and Engineering.

Lead 0->1 product initiatives: define technical and product direction, architect scalable systems, work with customers and founders, mentor senior engineers, establish reusable patterns, and influence company product and technology strategy.

Design, build, deploy, and monitor production AI/ML systems. Work with LLMs and generative AI, create inference and evaluation pipelines, optimize performance and cost, integrate models into production applications, and collaborate with product and engineering teams to maintain reliable data and model workflows.

Lead long-term product vision and strategy for high-impact portfolios. Define roadmaps, identify market opportunities, lead cross-functional initiatives, mentor senior PMs, establish product standards, and influence company strategy for scalable backend and infrastructure products.

Senior product leader responsible for defining vision and strategy across multiple product areas, leading a portfolio of products, aligning cross-functional teams, mentoring senior PMs, driving strategic launches, and representing customer and market insight at the executive level.

Lead design and deployment of production AI systems: architect model serving, inference, evaluation, and optimization pipelines; improve latency, throughput, quality, and cost; lead cross-team AI initiatives; set engineering standards; mentor engineers; partner on AI strategy and evaluate emerging models and infrastructure.

Lead complex customer deployments: build, deploy, and customize production software; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; translate customer feedback into product requirements; own projects end-to-end and create reusable, scalable deployment solutions while advising customers.

Lead customer-facing technical deployments: build, deploy, and customize production solutions; develop integrations, automation, and tooling; troubleshoot across app and infra layers; translate customer feedback into product requirements; own projects from discovery through iteration and improve deployment processes and reliability.

Lead complex technical deployments for enterprise customers: build, deploy, and customize production solutions; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; partner with Product and Engineering; own projects from discovery through deployment and scale reusable solutions.