
51 - 200 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
💰 Venture Round - Snowplow on 2023-06
SaaS • Enterprise
Snowplow is the Customer Context Infrastructure that transforms raw behavioral data into real-time customer context for AI agents and advanced analytics. Data teams rely on Snowplow to collect and process event-level data in real time, delivering it to their warehouse, lake, or stream, without the engineering overhead of building data infrastructure. Product and engineering teams rely on it to power agentic AI systems, personalization, and fraud detection. Snowplow provides products like Data Foundation, Event Tracking, Data Pipeline, Event Studio, Profiles, Real-Time Triggers, Modeling & Analytics, ML & Agentic AI features (Agentic Context, Intent Detection, Proactive Decisioning). It integrates with many data platforms (Databricks, Snowflake, BigQuery, S3, Kafka, Clickhouse) and ML/agent frameworks (LangChain, AWS Bedrock, Vertex AI, Vercel). It targets industries like Games, Media & Entertainment, Retail & Ecommerce, Software, Financial Services and teams including Data Engineering, Product Analytics, Data Science, Marketing. Snowplow emphasizes real-time, validated, governed event-level data, open and transparent approach, privacy and compliance, and deployment options including self-hosted pipelines. It positions itself as enabling real-time customer context for AI agents and advanced analytics, replacing legacy analytics tools and in-house pipelines.
🔥 2 minutes ago
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51 - 200 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
💰 Venture Round - Snowplow on 2023-06
SaaS • Enterprise
Snowplow is the Customer Context Infrastructure that transforms raw behavioral data into real-time customer context for AI agents and advanced analytics. Data teams rely on Snowplow to collect and process event-level data in real time, delivering it to their warehouse, lake, or stream, without the engineering overhead of building data infrastructure. Product and engineering teams rely on it to power agentic AI systems, personalization, and fraud detection. Snowplow provides products like Data Foundation, Event Tracking, Data Pipeline, Event Studio, Profiles, Real-Time Triggers, Modeling & Analytics, ML & Agentic AI features (Agentic Context, Intent Detection, Proactive Decisioning). It integrates with many data platforms (Databricks, Snowflake, BigQuery, S3, Kafka, Clickhouse) and ML/agent frameworks (LangChain, AWS Bedrock, Vertex AI, Vercel). It targets industries like Games, Media & Entertainment, Retail & Ecommerce, Software, Financial Services and teams including Data Engineering, Product Analytics, Data Science, Marketing. Snowplow emphasizes real-time, validated, governed event-level data, open and transparent approach, privacy and compliance, and deployment options including self-hosted pipelines. It positions itself as enabling real-time customer context for AI agents and advanced analytics, replacing legacy analytics tools and in-house pipelines.
• Own retention and growth across a portfolio of Snowplow's largest and most complex customer relationships • Report to the VP Account Management as a senior individual contributor • Run a strategic book of business and set standards for building traction with senior stakeholders • Expand single-brand footholds into multi-brand relationships • Own accounts across the full customer lifecycle • Work alongside Customer Success and Technical Account Managers to understand customer business and technical challenges • Build relationships beyond day-to-day technical champions • Map customers' corporate structures so successful deployments expand across brands and business units • Retain and grow high-value SaaS accounts
• 7+ years in B2B SaaS sales or account management, focused on technical products related to data infrastructure • Ability to build relationships with VP/C-level stakeholders and navigate procurement, legal, and finance in large or matrixed organizations • Experience growing accounts across multiple brands, business units, or subsidiaries within one corporate parent • Consistent overperformance in individual contributor sales or account management roles at established companies and startup or Series B environments • Deep understanding of data analytics and cloud infrastructure • Hands-on experience applying Challenger sales methodology and MEDDPICC • Entrepreneurial approach to territory planning and ability to develop an account-growth point of view • Bachelor's degree in Business, Marketing, or a related field • Track record of retaining and growing high-value SaaS accounts • Experience in data and AI, BI and analytics, adtech, or martech • Experience selling or managing complex platforms or infrastructure products • Comfort engaging with VP or C-level buyers • Media and publishing customer experience is a strong plus, not a requirement
• A competitive package, including share options • Flexible working • Unlimited PTO • 401k • Medical, dental & vision insurance • Mental health support • MacBook and home office equipment allowance • Short & long term disability insurance • 1 week of volunteering a year for a cause you feel passionate about • Enhanced maternity, paternity, shared parental and adoption leave
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