Top Tech Jobs & Startup Jobs

Lead frontend architecture and technical direction for Observe by Snowflake’s AI Products team. Build interactive interfaces for streaming, multi-step AI agents; develop Slack integrations, CLI tooling, evaluation pipelines, MCP integrations, and extensible platform capabilities. Partner with product and design on roadmap decisions, mentor engineers, author architecture guidance, and deliver scalable customer-facing web applications for AI-powered observability.

Present Snowflake’s AI Data Cloud to executive and technical audiences, lead value-based demonstrations and enterprise proofs of concept, support solution design and implementation, and help close complex sales. The role requires expertise in data platforms, analytics, cloud technologies, generative AI, machine learning, RAG, LLM deployment, data governance, data modeling, and data engineering. The engineer collaborates with sales, channel partners, Product Management, Engineering, and Marketing throughout customer sales cycles.

Serve as a customer-facing technical advisor for Snowflake, partnering with sales teams and channel partners throughout the sales cycle. Present solutions to technical and executive audiences, conduct demos and proofs of concept, design architectures, develop technical champions, and solve data-related business problems. Collaborate with Product, Engineering, Marketing, and implementation partners while staying current on Snowflake, cloud, data, and AI technologies.

Partners with account sales teams, channel partners, and customers to solve complex data challenges and drive Snowflake evaluations. Presents technology to technical and executive audiences, delivers demos and proofs of concept, develops technical champions, designs solutions, and supports implementation. The role requires data architecture, analytics, cloud technology, and SQL expertise, with preferred experience in Python, modern data tooling, AI, machine learning, and financial services.

Partners with sales teams and customers to identify needs, lead winning sales cycles, deliver executive and technical presentations, demonstrate Snowflake solutions, support enterprise proofs of concept, and help close large deals. The role requires expertise in data platforms, cloud technologies, generative AI, machine learning, LLM ecosystems, data governance, data modeling, and data engineering, while collaborating with Product, Engineering, Marketing, and channel partners.

Design, build, and operate highly scalable, resilient cloud infrastructure and platform services across multiple cloud providers. Provide technical leadership on large projects, improve reliability and automation, define OS and containerization layers, mentor junior engineers, and maintain high SLOs.

Generate qualified pipeline through high-volume outbound prospecting, including cold calls, email, LinkedIn outreach, and sequencing. Independently build target account lists, qualify prospects, meet activity and opportunity targets, maintain accurate Salesforce CRM data, and partner with Account Executives on opportunity handoffs. Develop expertise in Snowflake’s data platform and competitive positioning to conduct relevant commercial conversations, with potential progression into an Account Executive role.

Manage 50–70 client relationships, develop pipeline, drive revenue, and close complex B2B sales. Build trusted partnerships, identify customer needs, present Snowflake solutions, guide cloud adoption and digital transformation, support demonstrations and proofs of concept, and provide post-sales technical guidance to increase customer utilization and satisfaction.

Serve as the primary technical resource for Sales by conducting discovery, delivering demonstrations, managing proofs of concept, and supporting technical sales strategies. Partner with customers, Account Executives, Product Management, and Engineering throughout the sales cycle. Develop technical collateral, maintain demo environments, train Sales teams, and communicate customer and market feedback. Travel to client sites and industry events as required.

Own month-end and quarter-end close activities, including journal entries, reconciliations, variance analysis, and complex transaction accounting. Manage global intercompany activities, maintain US GAAP and SOX-compliant controls, and partner cross-functionally on accounting initiatives. Improve scalable processes through automation and AI-powered financial tools while supporting audit readiness, policy documentation, and ad hoc projects.