Top Tech Jobs & Startup Jobs

Lead qualitative and quantitative user research at Snowflake, partnering with product, design, engineering, and marketing leaders. Translate customer needs, product usage data, and research findings into product and go-to-market decisions. Build alignment through complex tradeoffs, identify opportunities, and support launch and adoption. Apply AI thoughtfully to research while maintaining rigorous standards for evidence, confidentiality, and data security.

Build scalable backend services, distributed systems, APIs, and platform infrastructure for production AI and agentic applications. Develop reusable agent frameworks, evaluation pipelines, SDKs, and Python libraries while improving CI/CD, testing, observability, security, reliability, and cost efficiency. Use Snowflake’s AI ecosystem to deliver intelligent internal products, collaborate with cross-functional stakeholders, and establish engineering best practices for enterprise AI systems.

Build and ship production-quality mobile features for Snowflake’s AI products using React Native and TypeScript. Own features from design through App Store and Play Store release, contribute to mobile and web architecture, integrate APIs and backend services, and collaborate with product managers, designers, and engineering teams. Use AI coding assistants in daily development while supporting scalable, maintainable user experiences.

Leads a global team of Sales Engineering Enablement Business Partners supporting technical sales organizations. Defines enablement strategy, operating mechanisms, curricula, workshops, communications, and measurement programs. Partners with Sales Engineering, Product, Marketing, and Solutions Architecture leaders to improve technical readiness, ramp time, win rates, and field impact. Requires extensive experience in sales engineering or technical enablement, people management, enterprise SaaS, data analytics, executive stakeholder influence, and global program execution.

Own Snowsight’s web performance strategy and infrastructure. Build monitoring, regression detection, dashboards, performance budgets, and CI/CD guardrails. Diagnose and resolve performance issues involving React rendering, data fetching, caching, large dataset visualization, build tooling, and delivery optimization. Partner with product and platform teams on performance-aware architecture, mentor engineers, and drive organization-wide performance practices.

Serve as a dedicated technical partner for Priority Support customers: provide hands-on Snowflake platform support, optimize query performance and cost, manage integrations and migrations, drive incident resolution and RCA, run release/readiness and DR drills, apply AI-assisted tooling, and coordinate cross-functional improvements to improve customer outcomes.

Design and optimize Snowflake’s marketing data architecture and MarTech ecosystem across Salesforce, Marketo, Snowflake, Hightouch, Clay, and related platforms. Own Marketo-to-Snowflake synchronization, segmentation, lead routing, lifecycle workflows, integrations, data quality, governance, and stack rationalization. Partner with GTM and Data Engineering teams to troubleshoot complex systems issues and implement scalable technical standards supporting automation and AI-powered marketing.

Own planning, forecasting, budgeting variance analysis, recurring reporting, and performance analysis for global marketing programs. Partner with Growth Marketing and senior leaders to evaluate investments, pipeline generation, bookings, and consumption growth. Translate complex financial and marketing data into actionable recommendations, improve reporting processes through automation and AI, and use Snowflake’s platform to increase productivity and strategic impact.

Develop AI-driven migration capabilities for SnowConvert, including code conversion, data migration, validation pipelines, and automated testing. Build reliable foundations and APIs for agentic AI systems, collaborate with AI and field engineering teams, and optimize distributed data pipelines for performance, scalability, and cost efficiency.

Build scalable, responsive frontend experiences for Snowflake Cortex AI. Develop production-quality TypeScript and React interfaces, integrate APIs supporting AI inference and data retrieval, participate in architecture and code reviews, collaborate with product and design teams, and optimize frontend performance and reliability. The role also involves using AI coding assistants as part of daily development and may include building LLM-powered applications or conversational interfaces.