Hiring: Director, AI Company: iSpot Location: Bellevue, WA Job Posted Time: 2026-09-10 07:38:15 Employment Type: Full-time / Remote Target Skills & Keywords : AI, Data Pipeline, Fine-tuning, LLM, Linear, MLOps, Machine Learning, TestNG About the job Experience: •10+ years of software engineering experience, including 3+ years leading engineering teams. Required Skills: •Lead the day-to-day execution of iSpot's AI engineering roadmap across the Creative, Audience, and Outcomes (CAO) product portfolio. •Build, ship, and operate customer-facing AI capabilities — including generative AI features, agentic workflows, retrieval systems, and applied machine learning. •Own the architecture and technical patterns for AI services: model selection, orchestration, evaluation, guardrails, cost, and latency. •Prototype quickly and personally — write code, run experiments, and validate concepts before committing the team to a direction. •Hire, lead, and develop a team of AI and machine learning engineers, setting a high bar for engineering craft and delivery. •Partner with Product Management to turn opportunities into scoped, sequenced roadmaps with clear success criteria. •Partner with Data Science to productionize models and measurement methodology at scale. •Establish evaluation and experimentation frameworks that make AI quality measurable and regressions visible before customers see them. Qualifications: •Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; advanced degree preferred. •Demonstrated experience shipping AI or machine learning capabilities into production products used by customers. •Solid functional working knowledge of modern AI technologies: large language models, agentic systems, retrieval architectures, embeddings, evaluation methods, and fine-tuning trade-offs. •Strong software engineering fundamentals — distributed systems, APIs, data pipelines, testing, and production operations. •Genuinely hands-on: comfortable in the codebase, in notebooks, and in production traces. •Clear communicator who can explain technical trade-offs to non-technical stakeholders. •Track record of delivering in fast-paced environments with shifting priorities. •Practical understanding of AI safety, data governance, privacy, and enterprise security requirements. Compensation: •$204,507 - $269,942 / year •Flexible work environment (work from home / hybrid options) •Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!