Top Tech Jobs & Startup Jobs in Seattle, WA

Leads Atlassian’s AMER Credit and Collections function, managing teams and overseeing credit assessment, collections, disputes, AR accounting, reconciliations, controls, policies, audits, and process improvements. Partners with Sales, Accounting, Revenue, IT, and Customer Support to manage risk, improve cash performance, and support quote-to-cash operations. Uses portfolio insights and metrics such as DSO, aging, delinquency, and write-offs to drive decisions and operational improvements.

Leads a multi-year trust portfolio spanning security, compliance, GRC, privacy, and regulated-market readiness. Coordinates engineering, product, legal, IT, and governance teams; drives secure-by-default development, software supply chain security, automated controls, vulnerability monitoring, and regulatory authorizations. Advises executives on technical risk and trade-offs while establishing governance frameworks, metrics, evidence pipelines, and dependency-management mechanisms to demonstrate measurable risk reduction.

Lead the 0-to-1 design vision for Atlassian’s AI-native Strategy Collection. Manage and scale a team of 5–10 designers, establish high standards for product craft, partner with Product and Engineering leadership, champion AI-enabled design workflows, and create intuitive experiences for executive and portfolio-management users.

Own the architecture and technical direction for Atlassian’s enterprise agentic search platform. Design retrieval, agent orchestration, context construction, evaluation, LLM training, serving, and continuous improvement systems. Address enterprise permissions, tenant isolation, freshness, scalability, latency, cost, privacy, and reliability. Validate architecture through prototypes and production implementations, establish benchmarks and feedback loops, guide cross-team roadmaps, influence technical adoption, and mentor senior engineers and scientists.

Lead the design and delivery of knowledge graph and machine learning systems that infer personal work context from connected tools. Build graph inference pipelines, schemas, permission-aware APIs, Rovo Chat integrations, and MCP-compatible CLI experiences. Establish evaluation frameworks, improve retrieval and grounding, provide technical direction across teams, mentor engineers, and ensure responsible, privacy-safe AI systems operate reliably at production scale.

Lead complex technical programs spanning platform and product components. Define long-term strategies, roadmaps, technical objectives, and action plans; translate business needs into prioritized systems problems; influence engineers and architects; manage dependencies, budgets, schedules, forecasting, and end-to-end program lifecycles. Programs may involve agentic platforms, machine learning, enterprise search, conversational AI, reliability, performance, and enterprise readiness.

Design and optimize large-scale machine learning model-serving systems, including distributed infrastructure, load balancing, auto-scaling, batching, caching, and GPU inference optimization. Build reliable, high-concurrency services handling billions of requests, benchmark and accelerate inference engines, develop CI/CD for model deployment, and partner with ML engineers to fine-tune and deploy open-source large language models.

Own the roadmap and delivery of Atlassian Government Cloud, balancing customer value, compliance, engineering investment, and market impact. Translate FedRAMP and NIST controls into product requirements, lead cross-functional execution, engage public sector customers, support migrations, and guide pricing, packaging, commercialization, Marketplace readiness, and launch activities. Serve as a subject matter expert on government cloud needs and compliance requirements.

Leads application and software engineering teams supporting Oracle Fusion Cloud and core Finance SaaS applications. Oversees finance transformations, integrations, automation, architecture, reliability, quarterly Fusion upgrades, and company-wide initiatives. Partners with Finance and Engineering stakeholders, drives metrics and OKRs, maintains SOX compliance, leads code reviews and complex problem resolution, and advances AI/ML and continuous improvement across critical financial systems.

Leads security incident response across corporate environments and cloud services, investigating threats, analyzing logs, conducting threat hunts and forensic analysis, and coordinating incident resolution. Develops response tools, automation, playbooks, and standard operating procedures; performs post-incident reviews and tabletop exercises; researches threat actors and improves organizational security posture through cross-functional collaboration.