Top Tech Jobs & Startup Jobs in Seattle, WA

Senior sales hunter responsible for acquiring new enterprise clients for Analytics, AI/ML, GenAI, Data Science, and Data Engineering consulting services. Build CXO relationships, manage full sales cycle from prospecting to close, hit revenue quotas, leverage strategic partnerships (Microsoft, Databricks), and travel nationally to engage clients.

Manage and optimize end-to-end account reconciliations, intercompany eliminations, and chart-of-accounts governance. Identify discrepancies, perform variance analysis, and implement AI-driven automation and anomaly detection to reduce manual effort and accelerate close. Collaborate with cross-functional teams to resolve mismatches and improve financial data quality and reporting accuracy.

Build and maintain operating and cash-flow models, apply AI/ML and data techniques to automate forecasts, run sensitivity and scenario analysis, translate strategy into financial outcomes, support fundraising/M&A/pricing, and create dashboards and reports for stakeholders.

Act as the internal voice of the customer, partnering with Sales, Product, and Engineering to design and configure billing, revenue recognition, and invoicing solutions. Lead discovery with finance leaders, build demo/sandbox environments, respond to RFPs, document handoffs, and create onboarding materials while advocating customer needs to Product and Engineering.

Provide mechanical engineering domain expertise to create and review technical content used to train AI systems: review documents, develop and assess questions/solutions, give written and oral feedback, collaborate cross-functionally, resolve complex engineering problems, and improve data quality while working independently.

Develop and maintain checkers for competitive programming problems allowing multiple valid outputs, verify participant submissions, write clear C++ code, document logic, collaborate with customers, and provide feedback to improve test cases and checkers.

Lead architecture, development, and delivery of enterprise-scale real-time streaming solutions using Apache Flink and Java. Manage and mentor engineering teams, design fault-tolerant distributed systems, implement stream processing pipelines, and ensure performance, scalability, and production reliability. Collaborate with stakeholders across product, DevOps, and architecture to drive technical roadmaps and best practices.

Seeking an Engineering Manager or Principal Engineer to drive technical advancement. Must have extensive Java, Apache Flink, and Rust experience, strong background building scalable distributed systems, proven leadership, and a high-ownership, builder mindset in a security-focused company.

Serve as the internal customer advocate and technical pre-sales lead for finance-heavy billing and revenue recognition solutions. Translate complex billing and revenue requirements into configured demos, sandbox environments, and solution documents. Partner with Sales, Product, and Engineering to support discovery, RFPs, implementations, and handoffs for enterprise customers.

Lead budgeting, forecasting, and variance analysis while building AI-driven financial models, scenario planning, KPIs, and dashboards. Automate FP&A processes, deliver insights to senior leaders, and collaborate with cross-functional teams to improve forecast accuracy and strategic decision-making.