Top Tech Jobs & Startup Jobs in Seattle, WA

Leads Salesforce consulting engagements by documenting business processes, writing and reviewing user stories, configuring Salesforce declaratively, and creating and executing tests. Facilitates workshops and UAT, secures stakeholder sign-off, leads demos and training, verifies documentation, and supports hypercare. Administers Marketing Cloud instances and integrations while using AI tools to draft delivery artifacts and critically review their accuracy.

Designs and delivers Salesforce Sales Cloud, Agentforce, and Claude solutions through customer discovery, readiness assessment, configuration, validation, go-live, and optimization. Leads workshops, maps business processes to AI workflows, troubleshoots integration and data issues, manages client relationships, supports adoption, and mentors consulting teammates. Engagements run as fast-paced 12-week sprints with flexible scope and direct customer ownership.

Lead customer change readiness, stakeholder engagement, training, and adoption for Salesforce Agentforce and Claude implementations. Develop change management, communications, and enablement plans; facilitate workshops; monitor adoption metrics and business outcomes; identify resistance and improvement opportunities; and coordinate with architects, consultants, sponsors, and delivery leadership across fast-paced 12-week engagements.

Leads technical architecture across concurrent Salesforce, Agentforce, and Claude customer engagements. Responsibilities include discovery, org and security assessment, solution design, integrations, data migration, rapid prototyping, implementation oversight, client workshops, adoption planning, and mentoring architecture teams. The role develops repeatable delivery frameworks and ensures secure, scalable solutions aligned with customer objectives.

Configure, implement, troubleshoot, and optimize Salesforce Sales Cloud and Agentforce solutions during fixed 12-week customer engagements. Lead discovery sessions, workshops, demonstrations, testing, training, adoption efforts, and client status meetings. Translate business requirements into Salesforce configurations and backlog items, collaborate with architects, support deployments, monitor usage, identify enhancements, and mentor junior consultants.

Leads technology architecture for Twilio and CCaaS implementations, defining solutions, roadmaps, estimates, and technical strategies. Develops hands-on applications using React, Redux, Node.js, and potentially TypeScript; creates proofs of concept and supports Agile delivery teams. Collaborates with clients, business stakeholders, offshore teams, and technical staff; leads workshops, resolves risks, mentors architects and developers, and drives architectural standards across projects.

Own auto-dialer and outbound campaign management capabilities, translating business needs into requirements, user stories, acceptance criteria, and prioritized backlogs. Partner with cross-functional business and Scrum teams through delivery, testing, UAT, production support, and incident resolution. Coordinate dependencies and risks, communicate with stakeholders, and use analytics to evaluate outcomes and support prioritization. Develop executive-ready presentations and documentation for functionality, process changes, decisions, and results.

Lead software development for Twilio-based applications across planning, architecture, implementation, testing, deployment, documentation, and support. Develop applications using React, Redux, Node.js, and Twilio services, with AWS experience. Lead technical requirements gathering, estimate work, mentor developers, provide technical leadership, collaborate with architects and clients, and communicate solutions to technical and non-technical audiences.

Leads Azure solution architecture engagements from discovery through implementation. Designs landing zones, governance, identity, infrastructure modernization, hybrid migrations, and Infrastructure as Code. Partners with sales on scoping, estimates, proposals, and executive presentations while advising client leadership. Mentors technical teams, develops reusable delivery accelerators, and supports Azure practice growth. Requires deep hands-on Azure expertise, consulting experience, Azure certification, and willingness to travel up to 25%.

Design, build, deploy, and optimize AI/ML and generative AI solutions on Databricks. Develop scalable Spark and Delta Lake data pipelines, operationalize models with MLflow, and build RAG and LLM applications. Implement MLOps practices including CI/CD, monitoring, governance, and model deployment. Collaborate with technical, data, engineering, and business teams to deliver enterprise-scale AI platforms and analytics solutions.