Top Tech Jobs & Startup Jobs in Seattle, WA

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

Own end-to-end quality across UI, APIs, data pipelines, analytics, and AI/model layers. Build automated regression suites, validate data transformations and risk-model outputs, integrate tests into CI/CD, manage test environments, support performance and security testing, coordinate release sign-off, and maintain audit-defensible evidence. The role also involves exploratory testing, defect management, test planning, and collaboration with Product and Engineering to establish testable requirements and improve quality practices.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Leads end-to-end software implementations, including requirements gathering, process analysis, system configuration, customization, training, testing, documentation, and deployment. The consultant manages client relationships, coordinates UAT and sign-off, translates business needs into technical requirements, collaborates with product and development teams, and proactively addresses implementation risks. Success requires delivering projects on time and within budget while ensuring client adoption and satisfaction.

Lead full-cycle, net-new enterprise sales across utilities, energy, telecom, and critical infrastructure. Build C-suite relationships, develop strategic account plans, close complex multi-year SaaS agreements, and create cross-sell and upsell opportunities. Partner with internal teams on proposals, pricing, and contracts; maintain Salesforce pipeline and forecasts; and represent customer needs internally. The role is remote across North America, with a hybrid option in Columbus, Ohio, and requires travel as needed.

Lead the full sales cycle for net-new enterprise SaaS opportunities across utilities, telecom, energy, and critical infrastructure. Build executive relationships, develop account-based strategies, close complex multi-year agreements, and create cross-sell and upsell opportunities. Partner with internal teams on proposals, pricing, contracts, and customer experience while maintaining accurate Salesforce pipeline and forecasting data. Travel to prospect meetings, customer engagements, conferences, and industry events as needed.

Design and own a unified data model for an AI-driven pipeline risk platform. Responsibilities include lakehouse and medallion architecture, geospatial modeling, entity resolution, ingestion patterns, governance, lineage, data quality, access controls, and traceability. Partner with data engineers, application engineers, and data scientists to implement schemas, pipelines, serving layers, and optimization strategies while maintaining clear architecture documentation.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Leads end-to-end delivery of an integrated asset-integrity and risk platform across Product, Engineering, Data, QA, Infrastructure, Commercial, and Customer Experience teams. Owns schedules, budgets, risks, dependencies, governance, decision logs, executive reporting, phase gates, customer commitments, and launch readiness. The role ensures predictable, auditable delivery without owning product strategy, technical architecture, or the business case.

Lead end-to-end SaaS implementations: gather requirements, configure and customize software, conduct training, troubleshoot, coordinate UAT, manage stakeholders, document solutions, and support clients through adoption.