Top Tech Jobs & Startup Jobs in Seattle, WA

Leads Snowflake’s strategic global partnership with T-Mobile, owning revenue and quota growth, developing multi-year account strategies, engaging C-suite stakeholders, and closing transformational enterprise agreements. The role expands Snowflake adoption across T-Mobile business units and regions while coordinating global teams across sales, marketing, partners, legal, product, and services. It requires strong consultative selling, executive engagement, telecommunications knowledge, CRM proficiency, and willingness to travel globally.

Design and develop high-performance LLM inference systems across distributed serving, runtimes, GPU execution, and performance-critical kernels. Improve latency, throughput, scalability, memory efficiency, and cost through advanced parallelism, decoding, scheduling, batching, KV-cache optimization, quantization, and GPU optimization. Build adaptive inference systems, profile end-to-end workloads, solve complex systems problems independently, and advance research innovations into production through collaboration and open-source contributions.

Own Snowflake’s IAM and authorization product roadmap, including RBAC, privilege management, identity governance, authentication policies, and AI-powered access intelligence. Translate enterprise security requirements into product specifications, collaborate with engineering and cross-functional teams, engage customers, define adoption metrics, and launch scalable access governance capabilities for human and non-human identities.

Leads product and engineering strategy for Finance, People, Legal, and Revenue applications, transforming enterprise workflows into AI-native products and autonomous agents. Partners with executives to redesign operating models, establishes AI architecture and governance standards, builds reusable platforms, and leads cross-functional product pods. Owns adoption, reliability, controls, ROI, budgets, vendor strategy, and talent development while scaling production-grade intelligent workflows with auditability and security.

Design and research agentic AI and reinforcement learning systems: build auto-research and coding agents, develop recursive self-improvement and multi-agent frameworks, run RL experiments (RLHF, DPO, PPO), curate training data pipelines, and publish results at top ML venues.

Build and own Snowflake’s operational tooling strategy, roadmap, and internal business systems. Design workflow automation, AI agents, and GenAI workflows for staffing, forecasting, planning, anomaly detection, and reporting. Integrate PSA, CRM, planning, and BI systems while maintaining data integrity and governance. Drive tooling adoption, standards, optimization, and cross-functional alignment with operations, enterprise technology, and data teams.

Design, develop, and maintain scalable cloud cost and efficiency monitoring systems. Build automation for monitoring, alerting, and root cause analysis; optimize data ingestion, storage, and query performance; and collaborate cross-functionally to improve operational visibility. The role requires troubleshooting complex production systems, supporting high availability and reliability through on-call participation, contributing to distributed-systems best practices, and driving strategic, measurable-impact engineering projects.

Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Lead and grow the Cost Intelligence engineering team while setting technical strategy for scalable backend systems, data pipelines, APIs, and customer-facing cost optimization products. Own multi-quarter roadmaps covering cost allocation, budgeting, anomaly detection, and optimization recommendations. Partner with Product, Design, Data Science, and engineering teams to deliver reliable features, support integrations, and drive technical excellence, talent development, and end-to-end execution.

As a Product Manager, you will define and execute Snowflake's networking strategy to enhance AI product performance, connectivity, and security across cloud environments, collaborating with various teams to ensure optimal infrastructure support.