Top Tech Jobs & Startup Jobs in Seattle, WA

Own end-to-end integration strategy and delivery for complex supply chain and manufacturing transformations. Design and deploy enterprise integrations connecting Agentforce with ERP, PLM, CRM, and other core systems. Develop API-led connectivity, agentic data pipelines, and enterprise AI architectures while advising executive stakeholders on AI integration roadmaps. The role requires hands-on engineering, coding, customer collaboration, and experience with enterprise architecture, Generative AI, security, compliance, and risk mitigation.

Leads enterprise cybersecurity technical programs across identity and access, data, network, cloud security, and resilience. Defines requirements, execution strategies, work breakdowns, reporting, risks, and delivery accountability while partnering with engineering, product, executives, and stakeholders. Drives agile execution, process improvement, technical design, transparency, and innovation across Salesforce’s security organization.

Leads Slack Growth technical programs spanning self-service revenue experiments, onboarding, global expansion, and Slackbot initiatives. Partners with product, design, engineering, data science, marketing, and executives to align roadmaps, manage dependencies and risks, track releases, and improve operational processes. Builds automation and AI-assisted tools, establishes metrics and reporting, drives planning cycles, and converts ambiguous goals into structured projects with measurable outcomes.

Owns a portfolio of enterprise customer risks, serving as the primary escalation point for complex issues and potential attrition. The role coordinates cross-functional resources, advises executives, manages Red Account lifecycles, communicates resolutions, and drives systemic process improvements. It requires deep MuleSoft and Anypoint Platform expertise, familiarity with Salesforce and enterprise integration environments, strong communication and negotiation skills, and the ability to influence stakeholders without authority.

Manages strategic relationships with high-value Salesforce customers, ensuring adoption, platform health, renewal, and expansion. Acts as a trusted advisor to business and technical stakeholders, coordinates Signature Success deliverables, conducts usage reviews, manages risks and major incidents, and recommends solutions aligned with customer goals. The role requires Marketing Cloud expertise, strong communication and consulting skills, AI literacy, and the ability to translate technical concepts into business value.

Own customer success for high-value Salesforce Marketing Cloud customers, serving as a strategic advisor and primary accountability point. Drive adoption, platform health, renewals, expansion, stakeholder alignment, quarterly reviews, incident communications, and value realization. Partner with Sales, Engineering, and Product Management while applying marketing operations expertise across retail and consumer goods customers. The role requires strong SaaS, Marketing Cloud, consulting, communication, and AI literacy capabilities.

Leads growth and lifecycle marketing programs focused on self-serve onboarding, activation, conversion, monetization, and account expansion. Develops onboarding journeys, promotional campaigns, product launch initiatives, and in-product experiences. Owns experimentation roadmaps, including A/B testing, messaging optimization, and trigger-based flows. Analyzes performance metrics and collaborates with Product, Design, Data, Sales, and Operations to improve adoption, retention, customer lifetime value, and revenue growth.

Develop and operate highly available cloud infrastructure and distributed backend systems across large public cloud environments. Build automation tools, infrastructure-as-code, microservices, and containerized platforms; troubleshoot complex production issues; improve reliability, resilience, and performance; manage technical debt; and participate in on-call support. The role focuses on DNS, cloud architecture, Linux systems, network technologies, CI/CD, monitoring, and large-scale infrastructure delivery.

Build and operate AI agent systems that learn from demonstrations, combine reasoning with deterministic workflows, recover from failures, and verify outcomes. Develop backend services with persistent state, concurrency, retries, secure customer access, evaluations, and diagnostics. Collaborate directly with customers to prototype and improve automation, influence product roadmaps, make technical decisions, mentor engineers, and support hiring. The role requires hands-on LLM system development, production ownership, and proficiency in Python, Go, Java, or JavaScript/TypeScript.

Design and build scalable, cloud-native services for Salesforce’s AI Trust and Governance organization. Provide technical leadership across architecture, distributed systems, systems programming, and platform innovation. Lead features end to end, solve scalability challenges, develop comprehensive tests, debug defects, support releases, and mentor engineers through design and code reviews. Collaborate cross-functionally with engineering, product, architecture, and platform teams.