Top Tech Jobs & Startup Jobs in Seattle, WA

Develop scalable, high-performance software for Salesforce’s distributed B2C platform. Responsibilities include designing and implementing full-stack features, collaborating with architects and product owners, creating technical designs and test cases, deploying code, and conducting automated unit, integration, functional, acceptance, performance, and smoke testing. The role requires strong Java or comparable language skills, backend and web application expertise, LLM knowledge, software engineering fundamentals, and cross-functional communication.

Leads Salesforce’s security risk operations program by coordinating risk decisions, reviews, escalations, remediation, and cross-functional initiatives. Owns security issue management, policy exceptions, risk acceptance, workflows, metrics, dashboards, and leadership reporting. Develops scalable governance processes, improves operating standards, drives accountability, and partners with engineering and platform teams to automate risk workflows and reduce manual work.

Leads architecture and delivery of Salesforce’s cloud-native GRC platform, including policy-as-code, compliance-as-code, automated evidence collection, telemetry, alerting, and risk evaluation. Designs multi-cloud integrations, ensures secure engineering and CI/CD standards, evaluates human- and AI-generated code, and guides distributed feature teams. Partners with product, security, and GRC leaders to translate regulatory requirements into technical roadmaps. Mentors engineers and drives adoption of AI coding assistants and agent-enabled workflows.

Own the enterprise vulnerability management strategy and roadmap across infrastructure, cloud, containers, software, and AI/ML environments. Lead vulnerability response incidents, develop AI/ML security governance, automate scanning and remediation workflows, and drive threat-informed prioritization using CVSS, EPSS, and KEV. Partner with engineering, product, and architecture leaders to reduce systemic exposure, while reporting vulnerability trends, AI threats, metrics, and remediation performance to executive security leadership.

Leads multiple software engineering teams building and operating large-scale, highly available platform services. Owns technical roadmaps, architecture, reliability, SLA compliance, incident management, delivery execution, and organizational performance. Manages and mentors engineering managers and leaders, drives cross-functional alignment, identifies risks and resource gaps, and communicates technical and operational status to executive stakeholders.

Provides security architecture and advisory guidance for large-scale cloud and infrastructure initiatives. Conducts threat modeling, security design reviews, risk assessments, and vulnerability mitigation across application and infrastructure stacks. Partners with engineering and product teams to implement secure designs, improve secure development processes, and prioritize risk-based security initiatives. The role requires expertise in cloud security, identity and access management, networking, encryption, and security communication, with preferred experience in offensive security, Kubernetes, code analysis, and infrastructure security tooling.

Leads data science and decision science initiatives supporting product adoption, compensation metrics, and operational systems. Responsibilities include statistical modeling, data architecture, experimentation, causal inference, metric validation, M&A data integration, AI-agent lifecycle management, anomaly detection, and executive advisory. The role also establishes analytical standards, improves data reliability and SLAs, and mentors team members.

Leads business value services for enterprise TMT accounts by advising C-suite stakeholders, shaping strategic account and value-based sales strategies, developing ROI-driven business cases, structuring commercial deals, and supporting negotiations. Partners cross-functionally with sales, solution engineering, pricing, legal, and industry teams. Tracks post-sale value realization, drives thought leadership, mentors team members, and scales value methodologies.

Investigate and triage data-quality, freshness, and pipeline issues across governed sales data products. Validate models and migrations through row-level, column-level, and parity checks; monitor dbt tests, source freshness, and observability alerts; support UAT and hypercare; verify fixes in Snowflake; and document definitions and known issues. The role offers a structured path from data operations and support into data engineering, including model development, testing, and ownership of data products.

Build and maintain security across the MeshMesh platform, including threat modeling, security reviews, vulnerability scanning, monitoring, remediation, system hardening, compliance support, and continuous control validation. The role partners with engineering teams to secure cloud-based distributed systems, application and infrastructure environments, and AI-assisted development workflows, including agent loops and tool use.