Top Tech Jobs & Startup Jobs

Build Snowflake’s large-scale, multi-cloud Postgres service, focusing on orchestration and control-plane systems, high availability, disaster recovery, performance tuning, security, and distributed systems. The role involves integrating AWS, Azure, and GCP APIs, operating large Postgres deployments, optimizing low-level system performance, and collaborating with geographically distributed engineering teams.

Build backend control-plane services for managed PostgreSQL in Snowflake, including provisioning, lifecycle management, configuration, authorization, security, asynchronous workflows, reliability, observability, and operations. Investigate production issues, participate in on-call, collaborate across product and security teams, and contribute to technical design, code reviews, and mentoring.

Build and maintain core Java libraries and JVM infrastructure for Snowflake’s high-performance data cloud. Responsibilities include improving system safety, efficiency, reliability, availability, and performance; troubleshooting complex Java systems; implementing monitoring and automation; and collaborating with global engineering teams on large-scale infrastructure challenges.

Drive enterprise sales of Snowflake solutions to telecommunications and other large B2B customers in Japan. Responsibilities include prospecting, opportunity qualification, account planning, pipeline management, customized presentations, product demonstrations, territory strategy, and meeting quarterly and annual revenue targets. Build trusted relationships with C-suite and business stakeholders, advise customers on data strategies, and coordinate with sales engineering, professional services, marketing, and partners to secure adoption, expansion, and renewals.

Build production-grade AI and machine learning systems involving agents, RAG pipelines, LLM integrations, MLOps infrastructure, natural-language interfaces, and multimodal data processing. Interns may contribute to evaluation, reliability and safety workflows, SQL-generation agents, AI migrations, search, and high-performance LLM optimization while working with experienced engineering teams.

Paid software engineering internship focused on database engineering, query engines, distributed systems, large-scale data processing, and cloud infrastructure. Interns will contribute to production software involving query compilation, optimization, execution, performance, transaction processing, and data warehouse design. Candidates should be enrolled students with coursework in algorithms, data structures, software engineering, and operating systems, plus strong C++ or Java programming skills.

Designs and develops AI/ML observability systems, large-scale data processing infrastructure, storage, data movement, and machine learning platform capabilities. The role supports reliable training, deployment, monitoring, model evaluation, explainability, and Generative AI use cases. Responsibilities include technical leadership, performance optimization, reliability improvements, database and compiler development, enterprise software engineering, Java application development, SQL, testing, debugging, and documentation.

The Account Executive will prospect, develop, and close enterprise sales opportunities for Snowflake solutions. Responsibilities include conducting discovery calls and customized demos, advising customers on IT roadmaps, expanding existing accounts, achieving revenue quotas, creating territory sales plans, and managing complex sales cycles. The role requires collaboration with sales engineering, professional services, marketing, legal, and finance teams while independently developing client relationships and meeting multimillion-dollar revenue targets.

Works with account sales teams, partners, and customers to demonstrate Snowflake solutions, lead proofs of concept, develop technical champions, and drive technical wins. Presents to executives and technical audiences, translates business needs into data and cloud architectures, supports evaluations and implementations, tracks competitive technologies, and collaborates with Product, Engineering, Marketing, and implementation partners.

Partner with sales and cross-functional teams to drive technical wins: present Snowflake, run demos, workshops and POCs, design modern data/AI architectures, guide implementations, and build trusted relationships within enterprise accounts.