Top Tech Jobs & Startup Jobs in Seattle, WA

Leads Shield AI’s Enterprise Data delivery organization, managing data engineering, analytics engineering, domain enablement, and governance teams. Translates enterprise data strategy into sequenced roadmaps, manages priorities, capacity, dependencies, risks, and stakeholder expectations, and ensures production-ready, governed data products. Partners with architecture, platform engineering, security, and business leaders on technical tradeoffs, data quality, lineage, reliability, and investment priorities. Also owns hiring, coaching, performance development, delivery metrics, and continuous improvement of the data operating model.

Own production operations for workplace AI platforms, including configuration, integrations, observability, secrets, access controls, model and prompt changes, benchmarking, and incident response. Translate technical findings into governance, risk, compliance, and training materials while collaborating with Security, Legal, HR, and business stakeholders. Investigate failures, implement mitigations, document root causes, and maintain reliable, secure AI services.

Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.

Designs and produces proposal documents, presentations, graphics, infographics, and bid materials. Translates complex technical information into clear visual stories, maintains templates and design systems, coordinates document production and quality checks, tracks revisions and submission requirements, and supports final digital and print delivery. Collaborates with proposal managers, business development teams, and technical experts while improving production workflows and supporting customer-facing materials.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Lead product definition, roadmap, and adoption for the CTOs agentic AI portfolio. Translate strategy into requirements, KPIs, and milestones; run discovery, prioritize backlogs, instrument usage, and shepherd incubation-to-handoff for AI/dev platforms and foundation-model tooling.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

Lead design and implement production React/TypeScript interfaces for agentic AI products. Prototype and ship working front-end code, design interaction patterns for LLM-driven systems, run user research, build reusable component patterns, instrument usage, and collaborate with product teams to land designs into production.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.