Top Tech Jobs & Startup Jobs in Seattle, WA

Owns platform product operations for Billing, Org & Auth, and Security teams. The role identifies enterprise-readiness gaps, connects platform investments to ARR, analyzes structured and unstructured data, and builds internal data and AI products. Responsibilities include roadmap prioritization, revenue-impact analysis, repeatable workflows, executive recommendations, and end-to-end ownership of tools and projects. Candidates need 8+ years of relevant experience, strong analytical and product judgment, and a record of shipping useful solutions tied to business outcomes.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

Build and maintain reliable data pipelines, computed tables, and scalable data models using SparkSQL and PySpark. Integrate IoT, product, customer, external, unstructured, and ML-related data into a central data lake for analytics, causal inference, model training, and dashboards. Ensure high data quality and uptime while collaborating with data science, analytics, AI/ML, and engineering teams.

Owns high-severity customer finance escalations from triage through resolution, coordinating cross-functional teams and executive communications. Analyzes escalation trends, leads process-improvement programs, improves workflows and dashboards, coaches frontline teams, and drives systemic issue prevention. Success is measured through faster resolution, improved customer satisfaction, SLA adherence, and permanent resolution of recurring problems.

Own complex customer escalations from triage through resolution, coordinating cross-functional teams and executive communications. Analyze escalation trends, quantify business impact, and lead programs improving workflows, SLAs, tooling, reporting, and customer-facing processes. Coach frontline teams on de-escalation and prevention, deliver post-mortems, and ensure accountability for follow-up actions. Success is measured through faster resolution, improved customer satisfaction, systemic issue elimination, documentation quality, and SLA adherence.

Own complex customer escalations from triage through resolution, coordinating cross-functional teams and executive communications. Analyze escalation trends, quantify business impact, and lead programs that improve workflows, tooling, reporting, SLAs, and customer-facing processes. The role also includes coaching frontline teams, producing post-mortems, tracking commitments, and driving systemic improvements that reduce resolution times and improve customer satisfaction.

Build and scale AI-enabled developer experience systems, including CI/CD platforms, deployment safeguards, observability, automated response workflows, and multi-agent orchestration. Reduce developer toil and technical debt while improving software delivery speed, safety, reliability, and production quality. Partner with engineering teams to adopt AI-native delivery practices and convert emerging capabilities into scalable internal platforms.

Own global mobility and immigration programs, including case management, policy administration, compliance, vendor coordination, employee support, and process optimization. Partner with HR, Recruiting, Legal, and external providers to improve workflows using AI and automation. The role also supports benefits and leave-of-absence coordination while developing broader expertise in Total Rewards.

Lead a team of firmware and ML engineers developing, optimizing, and deploying computer vision and AI models on edge devices. Provide hands-on technical leadership for embedded systems, low-latency processing, and resource-constrained hardware. Partner with Product, Hardware, and Full-stack teams to deliver products from concept through mass production, shape technical roadmaps, and hire and develop engineering talent.

Build and deploy production machine learning systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, lead-time, spend, and supplier-risk forecasting; anomaly detection; feature engineering and ETL; real-time inference; MLOps; data infrastructure improvements; governance; and model monitoring. The role defines the AI transformation roadmap, partners with executive and cross-functional stakeholders, mentors scientists, and drives adoption of AI-enabled operational workflows.