Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior Client Partner at Sparq drives revenue growth in strategic accounts, engages clients in transformative conversations, and manages the entire sales cycle, focusing on long-term partnerships and business outcomes.

Senior Client Executive is a pure-hunter role focused on net-new enterprise logo acquisition: generate aggressive pipeline, convert prospects into multi-million-dollar wins, run targeted outreach campaigns, attend industry events, craft high-impact proposals, navigate complex procurement/legal processes, and align pre-sales with engineering for seamless hand-offs.

Partners with product owners, business users, developers, and QA teams to define requirements for digital modernization initiatives. Creates user stories, workflow diagrams, acceptance criteria, and backlog documentation; analyzes APIs and SQL; researches existing functionality; supports testing and UAT; and improves documentation and delivery practices. The role also promotes AI adoption, mentors colleagues, and applies regulated-environment experience to ensure traceability and quality.

Design and maintain Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Provision and manage cloud resources, troubleshoot application and deployment issues, and improve reliability and performance. Participate across the software development lifecycle, review code and infrastructure configurations, collaborate with technical teams, and communicate project risks. Use AI tools such as Claude, mentor colleagues, and contribute to client-focused technical solutions.

Designs and maintains pipelines migrating financial data from legacy Oracle databases to Oracle ERP. Develops SQL and PL/SQL transformations, backend integrations, data mappings, reconciliation, testing, monitoring, troubleshooting, and documentation. Partners with accounting, business, and technical stakeholders to resolve issues and support large-scale financial transformation. The role also involves AI tool adoption, code reviews, solution design, deployment activities, governance, communication, mentoring, and project oversight.