Top Tech Jobs & Startup Jobs in Seattle, WA

Own and scale paid digital marketing programs for Mitratech’s HR and workforce compliance SaaS portfolio. Responsibilities include paid search, social, display, retargeting, budgeting, forecasting, AI-driven optimization, A/B testing, conversion optimization, attribution, and performance reporting. The role partners with product marketing, sales, revenue operations, web, and CRO teams to drive qualified pipeline, revenue, and marketing efficiency across the full funnel.

Owns month-end and year-end close activities, including journal entries, GL schedules, account reconciliations, financial reporting, variance analysis, and audit support. The role also supports M&A integration, technical accounting, policy maintenance, process improvement, internal controls, and ad hoc reporting across a multi-entity structure.

Lead end-to-end AI product work across Mitratech's shared AI platform and customer experiences. Set strategy and roadmap, convert ambiguous problems into shipped, enterprise-grade features, partner with engineering and design, prioritize based on customer feedback, and represent products to senior stakeholders and customers.

Leads product program operations across a multi-product GRC SaaS portfolio. Establishes operating cadences, planning and reporting rhythms, launch and release readiness, cross-functional dependencies, milestone tracking, prioritization, and decision governance. Connects Product with Product Marketing, Sales, Customer Success, Engineering, Enablement, and Support to ensure coordinated delivery and go-to-market execution. Builds scalable playbooks, tooling, dashboards, and accountability systems while facilitating portfolio trade-offs and maintaining commitment integrity.

Provides technical leadership and architectural oversight for scalable AI-integrated software. Designs agentic AI systems, MCPs, APIs, RAG solutions, microservices, and prompt strategies; decomposes product goals into engineering tasks; reviews human- and AI-generated code; mentors distributed developers; and improves DevOps and CI/CD pipelines with AI-enhanced testing and reviews.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.