Top Tech Jobs & Startup Jobs

Lead global marketing operations strategy, platforms, and team to scale AI-forward demand generation. Own platform architecture, data governance, lead lifecycle, experimentation, budgeting, and agency partnerships to drive efficient, compliant, high-impact marketing execution.

The Sales Development Representative at Snowflake focuses on building pipelines through outbound calls and emails, nurturing leads, and setting up meetings with decision-makers to drive new revenue.

Supports Snowflake’s public company legal function, including securities reporting, proxy statements, corporate governance, insider trading compliance, Section 16 reporting, equity compensation, board matters, and corporate policies. The role also supports investor relations, financing, compliance, and international expansion initiatives while advising on public company securities laws.

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.

Build financial models and analyze revenue, COGS, margins, and cloud infrastructure costs. Partner with Product, Engineering, and Sales to evaluate opportunities, develop business cases, improve pricing and profitability, and deliver actionable insights. Use SQL, Snowflake Intelligence, AISQL, and automated dashboards to accelerate reporting and decision-making. Present findings to senior stakeholders and drive strategic workstreams in a fast-paced SaaS environment.

Leads a UKI Global Accounts sales engineering organization supporting financial services, telecommunications, and healthcare customers. Responsibilities include coaching and developing SEs, establishing team coverage and capacity models, shaping technical go-to-market strategy, coordinating specialists and partners, engaging C-level stakeholders, participating in QBRs, and jointly owning forecasting, quotas, and organizational growth.

Leads Snowflake’s LATAM Solutions Engineering team in Brazil, managing sales engineers while supporting technical sales cycles, demonstrations, proofs of concept, customer presentations, and regional technical-win forecasting. Partners with sales, channel partners, product, engineering, marketing, and services teams to achieve quota goals, identify customer solutions, improve win rates, and expand into new territories. Responsibilities also include recruiting, interviewing, coaching, developing team talent, and advising revenue leadership on sales strategy and product needs.

Partner with Account Based Marketing leaders to identify acquisition and expansion opportunities through analytics. Build and maintain SQL, dbt, and Snowflake data foundations; analyze pipeline, conversion, campaign ROI, and funnel leakage; ensure data quality across Salesforce, Marketo, and Snowflake; and develop AI-powered analytics workflows using Python and Streamlit. Present insights to executives, influence strategic decisions, improve marketing operations, and champion analytics innovation.

Lead AI-native enterprise products for Finance, People, Legal, and other business domains. Own product strategy from discovery through adoption, redesign workflows, rapidly prototype with AI tools, and deliver production-grade agents and intelligent workflows. Partner with business, engineering, design, data science, security, and platform teams while managing governance, privacy, reliability, and responsible AI requirements. Drive alignment, adoption, measurable business outcomes, and scalable product patterns.