Top Tech Jobs & Startup Jobs in Seattle, WA

Validates Sand’s products and market fit in the US private sector by conducting customer discovery, defining target segments, analyzing competition, designing pilots, and developing pricing and commercial cases. The role translates customer evidence into product and go-to-market decisions, identifies product gaps, and recommends whether to continue, adapt, or stop initiatives. It is a hands-on player-manager position requiring close collaboration with engineering, technical leads, clients, and leadership.

Leads production delivery of intelligent, full-stack solutions across data pipelines, APIs, applications, infrastructure, and ML systems. Acts as the primary technical client contact, translates architecture into delivery decisions, manages technical risk, and leads a cross-functional squad of engineers and data scientists. The role combines hands-on engineering with mentoring, code reviews, architecture, product scoping, and client-site implementation in regulated and critical-infrastructure environments.

Lead end-to-end deployment and operation of cloud infrastructure and Symmetri environments for US customers. Provision, configure, monitor, maintain, upgrade, and troubleshoot cloud, single-tenant, on-premises, and air-gapped environments. Manage Kubernetes, networking, IAM, infrastructure as code, resource planning, incident response, runbooks, and root-cause analysis. Represent the company in customer security reviews and help establish US deployment and operations standards and teams.

Leads US application engineering across public and private sector engagements, building and scaling high-performing technical teams. Oversees end-to-end delivery of AI and software programs on the Symmetri Platform, ensuring quality, profitability, reusable components, and client value. Partners with Product to shape roadmaps, supports GTM activities and business development, develops senior client relationships, and drives innovation, technical excellence, talent development, and scalable delivery practices.

Forward Deployed Engineers embed with customers to identify operational problems, analyze imperfect data, rapidly prototype and deploy AI-powered solutions, and drive adoption. Responsibilities include building pipelines, models, dashboards, optimizers, agents, and operational applications; collaborating with stakeholders; training users; improving platform capabilities; and supporting follow-on customer opportunities. The role requires technical execution, product thinking, client partnership, commercial awareness, and significant travel.

Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.