Top Tech Jobs & Startup Jobs in Seattle, WA

Lead AI transformation initiatives for strategic Fortune 50–100 customers. Build C-suite relationships, define AI adoption visions and frameworks, quantify ROI and P&L impact, manage complex cross-functional programs, resolve escalations, and identify expansion opportunities. Develop transformation playbooks, frameworks, and communications while influencing customer strategy, product direction, and enterprise-wide adoption of AI-powered operating models.

Lead AI transformation initiatives for Fortune 50–100 customers, serving as a strategic advisor to executives. Manage ROI and value realization, define AI adoption frameworks, quantify P&L impact, orchestrate cross-functional programs, resolve risks and escalations, and identify expansion opportunities. Build executive relationships, create transformation playbooks, and scale best practices across the organization while influencing the product roadmap.

Build and lead application security for WRITER’s enterprise AI platform. Responsibilities include threat modeling, secure architecture reviews, SAST/DAST implementation, code reviews, secure coding standards, penetration testing, vulnerability remediation, and security controls for AI agents, data pipelines, and model-training environments. The role also researches emerging LLM security threats, automates security processes, and partners with engineering teams to enable secure development at scale.

Partner with enterprise customers to identify AI use cases, architect and implement custom applications and integrations using WRITER’s platform, APIs, and Knowledge Graph. Translate complex AI concepts into actionable solutions, collaborate with Product and Engineering, improve technical integration processes, and drive customer adoption, time-to-value, and measurable business outcomes.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full strategic sales cycle. Prospect and qualify target accounts, build executive relationships, deliver consultative presentations, negotiate deals, maintain accurate pipeline forecasts, and partner with product and customer success teams to support successful deployments and long-term customer value.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full sales cycle, prospecting target accounts, developing client relationships, leading executive discussions and negotiations, forecasting pipeline, and partnering with product and customer success teams to support successful deployments.

Lead independent AI research on large language models and agentic systems, from hypothesis through training, evaluation, and production deployment. Develop post-training methods, reasoning and planning capabilities, evaluation benchmarks, synthetic data pipelines, and enterprise AI improvements. Publish at leading conferences, shape model strategy, and mentor researchers and engineers.

Build and operate highly available infrastructure for WRITER’s enterprise AI platform. Responsibilities include designing cloud and Kubernetes systems, automating infrastructure with Python or Go, managing Terraform and Helm, leading incident response and postmortems, defining SLOs, improving observability and reliability, and owning infrastructure initiatives end to end. The role also requires daily use of AI-assisted development workflows and collaboration with product, security, and engineering teams.

Leads high-impact, cross-functional product initiatives from discovery through launch and iteration. Shapes multi-quarter strategy and roadmaps, engages enterprise customers, partners with engineering and design on AI and platform products, defines success metrics, aligns stakeholders, and mentors product managers. The role requires technical fluency in LLMs, agents, data, and architecture, along with strong strategic judgment, execution, communication, and customer empathy.

Design and rapidly ship focused 15–45-minute video-based learning courses on software, workflows, role-specific skills, and AI topics. Own the full learning design lifecycle, deliver live and virtual training, repurpose content across formats, monitor emerging needs, triage requests, and collaborate with product, marketing, customer-facing teams, and subject matter experts. Serve as the on-camera or voiceover instructor while balancing speed, scope, and learning impact.