Top Tech Jobs & Startup Jobs in Seattle, WA

Executes full-cycle recruiting for technical roles, from sourcing and candidate engagement through offer negotiation and closing. Partners with hiring managers and cross-functional stakeholders to develop recruitment strategies, build high-quality pipelines, support inclusive hiring, and deliver a strong candidate experience. The role focuses on recruiting software engineering, AI/ML, data science, security research, and other technical talent in a fast-paced environment.

Design and scale company-wide AI enablement initiatives, including conversational agents, workflow-embedded guidance, learning labs, tool walkthroughs, and AI champion networks. Lead People & Culture enablement, facilitate cross-functional workshops, promote responsible human-AI collaboration, and measure productivity, behavioral adoption, and business impact.

Lead design and delivery of scalable Sales Cloud and GTM systems. Translate GTM requirements into functional and technical designs, coordinate stakeholders, automate sales workflows with AI, and manage onshore/offshore teams to implement and optimize Salesforce and related GTM tools.

Leads the People data ecosystem, including Snowflake workforce data models, pipelines, governance, metric certification, and data quality. Develops scalable workforce analytics products using Visier and Snowflake, enables governed AI-driven insights, replaces manual reporting with self-service solutions, and manages a high-performing team of data and analytics professionals.

Conduct advanced threat research across endpoint and cloud environments, dissecting and replicating adversary techniques to improve detection. Engineer attack automation, test code, and proof-of-concept detections; collaborate with detection engineers, analysts, and threat hunters; document findings; influence product strategy and vendor telemetry; and mentor junior researchers.

Conducts advanced threat research across endpoint, cloud, and identity environments. Analyzes and replicates cyberattacks, engineers automated attack and test code, develops detection proofs of concept, and provides scalable detection recommendations. Collaborates with detection engineers, intelligence analysts, and threat hunters, documents findings, presents research, contributes to product strategy, and mentors colleagues.

Leads a customer-facing MDR and threat hunting team, overseeing talent development, operational quality, customer escalations, executive communications, and recurring security engagements. Translates threat intelligence, attack activity, and security outcomes into actionable customer guidance. Establishes deliverable standards, drives continuous improvement, supports complex investigations, and ensures MDR services demonstrate consistent customer value.

Analyze EDR telemetry, alerts, and logs across endpoint, identity, network, cloud, and SaaS environments to identify and publish threats for managed detection and response customers. Communicate indicators and remediation context clearly, while improving detection workflows through orchestration, automation, and AI-enabled tools to handle high telemetry volumes.

Develop and scale Salesforce solutions for internal stakeholders, including Lightning Web Components, Aura, Visualforce, Apex controllers and triggers, SOQL/SOSL queries, and JavaScript helpers. Write Apex test classes, maintain code quality, manage deployments with VS Code and Git, and administer data using Salesforce Data Loader. The role requires strong Salesforce platform knowledge, hands-on development experience, and collaboration with business application stakeholders in a hybrid San Jose environment.

Drive automation-first reliability for a global, multi-cloud platform: build scalable infra (AWS/GCP/bare-metal), write automation (Python/Go), implement observability (Prometheus/Grafana/OpenTelemetry), lead incident response/on-call, define SLIs/SLOs, and partner on operability reviews and post-incident analysis.