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.

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.

Executes IT internal controls assessments, SOX compliance activities, internal audits, and investigations. Designs data-driven audit procedures using SQL, Python, and AI tools; evaluates cloud infrastructure, IAM, encryption, network security, SDLC, CI/CD, and compliance frameworks. Assesses control deficiencies, recommends remediation and compensating controls, supports audit planning through reporting, and partners with Engineering, Product, managers, and stakeholders to improve processes and controls.

Negotiate and close complex AI, SaaS, cloud, and strategic technology partnership agreements. Advise senior stakeholders on legal and business risks, develop contracting templates and playbooks, manage deal workflows, and collaborate with product, engineering, privacy, security, finance, tax, and compliance teams. The role also monitors evolving AI and data regulations, mentors colleagues, and improves legal workflows using AI tools.

Leads end-to-end planning, execution, and optimization of major events, including venues, executive programming, tradeshows, vendors, budgets, logistics, and on-site delivery. Manages cross-functional teams, timelines, documentation, risk mitigation, speaker coordination, and event operations. Conducts post-event analysis and reporting to improve future programs and inform leadership decisions.

Drive enterprise sales execution for Snowflake’s Data Engineering and Data Lakehouse capabilities. Responsibilities include developing territory strategies, generating pipeline, exceeding revenue targets, leading complex solution sales, advising executive customers, coordinating account executives and sales engineers, supporting solution implementation, forecasting regional performance, analyzing sales metrics, and providing customer insights to product and go-to-market teams.

Responsible for acquiring commercial customers, managing complex sales cycles, developing pipelines, exceeding quotas, and closing new business. The role builds client and partner relationships, presents Snowflake solutions, guides cloud adoption and digital transformation, and provides post-sales technical guidance to drive customer utilization and satisfaction.

Leads a 20+ person Analytics Engineering organization responsible for revenue, bookings, people analytics, and go-to-market data pipelines. Sets technical strategy, drives data transformation and governance, owns internal analytics agents and semantic layers, advances AI-assisted engineering, and partners with Product, Engineering, GTM, and business stakeholders. The role also supports customer conversations, thought leadership, cross-functional roadmaps, and enterprise-scale data initiatives.