Jobs at Snowflake

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.

Owns enterprise sales and expansion for named technology-sector accounts. Responsibilities include prospecting, qualifying opportunities, conducting discovery and product demonstrations, developing complex sales strategies, expanding customer use cases, managing cross-functional teams, and closing new business. The role requires consistently achieving multi-million-dollar revenue targets and quarterly and annual sales quotas.

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.

Lead technical pre-sales for Snowflake’s financial services customers by presenting to executives and technical audiences, conducting discovery, delivering demonstrations, supporting proof-of-concepts, and helping close enterprise deals. The role requires expertise in machine learning, generative AI, cloud databases, data architecture, SQL, and Python, along with collaboration across sales, partners, product, engineering, and marketing. Approximately 30% travel is expected.

Drive full-cycle enterprise sales for Observe by Snowflake, including prospecting, discovery, demos, solution positioning, pipeline development, territory planning, and account expansion. Build trusted customer relationships, achieve revenue quotas, manage complex sales cycles, and collaborate with sales engineering, product, professional services, marketing, legal, and finance teams.

Drive strategic relationships with Snowflake system integrator partners to grow revenue, expand partner capabilities, execute joint go-to-market programs, develop industry solutions, and deliver customer success. Responsibilities include partner practice development, executive engagement, co-marketing, deal support, performance tracking, sales quota attainment, and cross-functional collaboration with sales, engineering, services, legal, marketing, and product teams.

Senior Solution Engineer responsible for helping sales teams and channel partners close enterprise deals. The role involves presenting Snowflake to executives and technical audiences, conducting value-based demonstrations, supporting proofs of concept, analyzing customer architectures, and connecting business needs to Snowflake solutions. Candidates need extensive pre-sales experience, expertise in machine learning and generative AI solutions, database and cloud technologies, SQL, Python, and strong presentation skills. Approximately 30% travel is expected.

Leads a multi-layered solution engineering organization serving major financial services accounts. Partners with sales leadership to achieve revenue and consumption targets, guides AI and cloud data platform transformations, supports complex enterprise sales cycles, and aligns product, engineering, marketing, and services teams. Develops executive relationships, presents technical solutions, recruits and mentors leaders, and drives consultative selling across banking, insurance, and capital markets.

Drive enterprise sales for Snowflake by prospecting new accounts, expanding current customer relationships, conducting discovery calls and customized demonstrations, advising customers on data and IT roadmaps, managing complex sales cycles, and closing opportunities. The role requires developing territory strategies, meeting quarterly and annual quotas, achieving multimillion-dollar revenue targets, and collaborating with sales engineering, professional services, marketing, legal, and finance teams.

Serve as the primary technical resource for sales by conducting technical discovery, delivering product demonstrations, managing proof-of-concept evaluations, and supporting technical sales strategies. Partner with product and engineering teams to communicate customer feedback, develop sales collateral, maintain demo environments, and train sales personnel. The role focuses on Observe’s observability platform and requires customer engagement, strong communication, and travel to client sites or industry events.

Lead global support operations to transform manual processes into AI-augmented, outcome-based systems. Drive staffing, tiered support models, capacity planning, data-driven improvements, and cross-functional initiatives to improve customer experience and operational efficiency. Build and empower teams, define success metrics, and institutionalize support intelligence at scale.

Lead enterprise implementations of Observe from kickoff through production readiness. Design telemetry pipelines for logs, metrics, and traces; configure OpenTelemetry instrumentation and collectors; migrate Splunk, ELK, and other monitoring environments; and build dashboards, alerts, and datasets. Establish milestones, address technical risks, enable customer self-sufficiency, and collaborate with engineering, product, support, observability engineers, and architects to ensure successful post-sales adoption.

Own technical relationships with strategic enterprise customers, driving Observe adoption, optimization, and operational value. Partner with SRE, DevOps, platform, and engineering teams to integrate observability into workflows, improve telemetry quality, reliability, performance, and cost efficiency, and guide architecture decisions. Lead health checks, architecture reviews, technical escalations, change events, and expansion opportunities while providing clear technical communication to practitioners and executives.

Drive complex enterprise sales cycles by presenting Snowflake solutions, leading value-based demonstrations and proofs of concept, conducting technical discovery, and connecting customer business needs to data architecture solutions. Partner with sales, channel partners, Product Management, Engineering, and Marketing while advising executive and technical audiences on cloud data, machine learning, and generative AI technologies. Approximately 30% travel is expected.

Own enterprise sales for Snowflake’s Majors Financial Services accounts. Build executive and technical customer relationships, qualify opportunities, uncover business requirements, present solutions, conduct demonstrations and proofs of concept, and guide customers through cloud adoption and digital transformation. Collaborate with partners and internal Product, Engineering, Marketing, and implementation teams to position Snowflake, close strategic deals, and drive post-sale customer utilization and success.

Lead pre-sales engagements by presenting Snowflake to execs and technical audiences, delivering demos and proofs-of-concept, designing solutions, collaborating with product and engineering, maintaining competitive knowledge, supporting large deals and channel partners, and traveling (~30%).

Serve as a technical leader for legacy-to-AI cloud migrations and enterprise generative AI architecture. Create reusable solution patterns and reference architectures, advise C-suite stakeholders, architect LLM robustness and guardrails, and manage high-complexity data migrations into Snowflake AI workloads.

Lead startup outreach and engagement for AI-native companies, prioritize high-potential startups, coordinate cross-functional GTM and technical teams, drive adoption of Snowflake and Cortex AI, build ecosystem visibility through events and partnerships, and measure/report outcomes to accelerate startup workload migration and growth on Snowflake.

Sell Observe by Snowflake enterprise observability solutions: run discovery, deliver tailored demos, qualify and close complex deals, build pipeline, drive full-cycle land/adopt/expand motions, and collaborate cross-functionally to meet multi-million dollar quotas.

The Senior Solution Engineer at Snowflake will solve complex customer problems, deliver demos, support Proof of Concepts, and close business deals while collaborating with sales and technical teams.