Top Tech Jobs & Startup Jobs in Seattle, WA

Designs and builds enterprise reference implementations across Salesforce Data 360, Tableau, Agentforce, MuleSoft, Slack, Marketing Cloud Next, and Salesforce. Solves production challenges involving identity, access control, consent, governance, multi-region deployment, and reliability. Develops governed data products and semantic models for analytics and AI agents, evaluates Salesforce against alternatives such as Snowflake, documents reusable architecture patterns, and mentors architects and engineers.

Lead performance engineering for SalesforceDB, a distributed transactional database operating at massive scale. Responsibilities include profiling and optimizing database and storage systems, diagnosing scalability issues, developing benchmarks and models for capacity planning, building telemetry and performance dashboards, and qualifying releases for production. The role requires strong systems programming, database internals, performance testing, SQL analysis, Linux, and distributed-systems expertise, plus collaboration across engineering and analytics teams.

The Solution Engineer collaborates with clients to design and demonstrate Salesforce solutions that drive business success, leveraging technical and sales skills to solve complex problems.

Leads go-to-market strategy, messaging, launches, demos, content, and enablement for Salesforce strategic technology partnerships. Coordinates Product, Product Marketing, Business Development, Sales, Communications, and partners from partnership formation through post-launch adoption. Builds and manages a team, budgets, launch plans, sales materials, and technical storytelling programs while aligning stakeholders around positioning, segmentation, customer journeys, and sales motions.

Build and operate backend services for Slack’s enterprise productivity integrations with Google Workspace and Microsoft 365. Responsibilities include authentication and authorization flows, admin tooling, connector frameworks, analytics, experimentation, secure architecture, production support, code review, mentoring, and cross-functional collaboration.

Designs and builds production AI agent systems that combine LLM reasoning with deterministic execution. Responsibilities include backend services, workflow state management, recovery and verification, evaluations, diagnostics, secure customer integrations, and architecture leadership. The role involves direct customer collaboration, turning workflows into reusable product capabilities, evaluating models and tools, mentoring engineers, conducting design reviews, and guiding technical direction across agent and backend systems.

Leads Salesforce’s product security engineering strategy, security governance, risk remediation, and cloud security architecture across customer-facing products and platforms. Partners with engineering and executive leadership to embed security controls into software development, manage technical security debt, and reduce systemic risk. Builds and scales inclusive security organizations while communicating security posture to executives, board members, customers, analysts, and auditors.

Leads enterprise security partnerships for major business units, owning risk registers, prioritization, remediation plans, architecture reviews, threat modeling, security metrics, and executive reporting. Directs security strategy for cloud, identity, application, and AI/ML risks while applying frameworks and regulations such as NIST, FedRAMP, and SOX. Manages and develops security leaders, drives tooling and automation adoption, and advises senior executives and boards on security posture and risk decisions.

Designs Salesforce solutions for nonprofit customers by analyzing goals, creating customized demos, responding to RFPs, developing technical viewpoints, and presenting business value. The role partners with sales teams and account contacts, communicates requirements to product and engineering, and supports customer-facing technical discovery. It requires strong CRM, AI, analytics, BI, digital marketing, presentation, collaboration, and problem-solving skills, with up to 20% domestic travel.

Lead product analytics projects from data modeling and metric design through advanced analysis and implementation. Develop scalable product metrics, AI-powered analytics automations, self-service analytics experiences, and trusted data models. Partner with Product, Engineering, Go-to-Market, and data teams to solve complex business problems, influence senior stakeholders, and deliver executive-ready recommendations.