Top Tech Jobs & Startup Jobs in Seattle, WA

The Delivery Manager will lead complex Lead-to-Cash transformations, manage client engagements, design AI-driven solutions, and mentor junior staff.

Hands-on senior IT systems administrator responsible for administering Google Workspace and Microsoft 365 environments, endpoint and MDM support across ChromeOS/Windows/macOS, SaaS administration, help desk support, and executing compliance controls (CMMC/NIST800-171/ISO27001/SOC2). Uses AI tools to automate IT workflows, supports engineering teams' toolchains, and assists in audit readiness and evidence collection.

Lead end-to-end design of seller experiences in a customized Salesforce environment, creating high-fidelity Lightning prototypes, integrating sales and marketing tools, and designing AI-enabled workflows. Provide detailed specs and SLDS-compliant deliverables, collaborate with engineers and stakeholders, and focus on measurable adoption and scalable, low-friction seller workflows.

Design, build, and operate scalable data pipelines and platforms (Snowflake, Databricks, Delta Lake). Implement dbt models, semantic layers, data quality, orchestration (Airflow/Dagster/ADF), and DevOps for data. Build AI-enabled pipelines for RAG, embeddings, vector stores and integrate LLMs into ETL. Ensure reliability, monitoring, and cost-effective cloud architectures across AWS and Azure.

Drive revenue by selling AI solutions and consulting services to PE portfolio companies and Fortune 1000 accounts while managing complex sales cycles and building relationships with decision-makers.

The AI Software & Data Engineer will design and build full-stack systems, data platforms, and AI prototypes, integrating AI capabilities for enterprise solutions.

The Business Analyst supports the design and delivery of Lead-to-Cash initiatives, focusing on CPQ, pricing strategy, and AI-driven transformation, while collaborating with stakeholders to define requirements and ensure project success.

Design and build modern data pipelines and AI-ready platforms using Snowflake and AWS services, ensuring high-quality, accessible data for analytics and ML applications.