Top Tech Jobs & Startup Jobs in NYC, NY

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 customer-facing financial services architecture initiatives using Snowflake, cloud, data, analytics, and AI. Advise banking executives and architects, design solutions for fraud, credit risk, regulatory reporting, and customer 360, create repeatable architectures and demos, influence product roadmaps, enable field teams, engage ecosystem partners, and provide technical thought leadership through events and content.

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.