Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the creative quality and direction of AI-powered advertising. Develop concepts, prototypes, workflows, standards, and evaluation methods using generative image and video technologies. Experiment with prompting, models, references, and node-based systems while applying expertise in visual storytelling, filmmaking, composition, lighting, editing, pacing, and sound. Collaborate with creative and technical teams, evaluate emerging tools, document best practices, and coach Creative Studio members.

Leads AI-focused technical programs from scoping through deployment and handoff. Partners with Engineering, Product, AI Automation, and business stakeholders to build reusable AI solutions, MCPs, dashboards, data-access tooling, and self-service workflows. Uses SQL and analytics to define impactful metrics, reduce ad hoc data requests, improve operational efficiency, and drive AI adoption across teams.

Owns the roadmap for measurement products, develops new attribution solutions, and guides features from concept through launch. The role requires defining product specifications, identifying market trends, collaborating with engineering, design, QA, data science, and revenue teams, and delivering products that improve customer engagement and demonstrate advertising value.

Sells programmatic advertising solutions to agencies and brands across Northern California, identifying prospects, pitching and closing deals, managing client relationships, and expanding existing accounts. The role requires quota-carrying sales success, CRM pipeline management, client pitch development, technical platform communication, and collaboration with account management, product, and leadership teams. Occasional regional client travel is required.

Partner with Account Executives and cross-functional teams to sell StackAdapt's marketing technology portfolio to enterprise marketers. Own pipeline, source and close opportunities, lead executive discovery and demos, develop account strategies, and act as a subject matter expert on customer data, AI-powered marketing, journey orchestration, and measurement.

Leads and scales StackAdapt’s eCommerce new-business sales organization across North America. Responsibilities include developing outbound sales processes and playbooks, managing pipeline and forecasting, coaching Sales Directors and Account Executives, partnering with Marketing and Revenue Operations, improving lead quality, adopting AI-enabled sales technologies, and representing the company at industry events. The role builds a predictable revenue engine through disciplined execution, account-based selling, and cross-functional go-to-market leadership.

Drive StackAdapt platform adoption and commercial growth across Publicis, WPP, and Havas. Partner with programmatic centers of excellence and agency leaders to translate holding-company priorities into activation strategies, provide programmatic consultation, remove technical and commercial barriers, support sales opportunities, and communicate agency insights to internal teams. Track engagement, campaign activation, platform usage, and revenue impact while developing senior stakeholder relationships.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.

Develop and maintain automated and functional tests covering API, UI, integration, system, and regression scenarios. Integrate scalable test automation into CI/CD pipelines, collaborate with engineering and product teams, provide test feedback, and contribute to technical planning and code reviews. The role also involves testing edge cases, compatibility, concurrency, backend systems, and large relational datasets using SQL.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.