The Senior Sales Engineer at Snowplow will work closely with Account Executives to leverage their expertise in customer data infrastructure to drive sales and provide technical support to clients.

In Short

Partner with Account Executives to qualify opportunities and identify use cases.
Showcase Snowplow's Customer Data Infrastructure for digital analytics and AI/ML use cases.
Design and deliver bespoke pitches and demos to various stakeholders.
Lead Proof of Concepts demonstrating Snowplow's capabilities.
Become a product expert and trusted advisor to customers.
Contribute technical thought leadership for go-to-market initiatives.

Requirements

Proven experience in a Sales Engineering role.
Strong technical skills in web and mobile app development, SQL, ETL, and data analysis.
Experience with cloud data warehouses like Snowflake and BigQuery.
Familiarity with AWS, GCP, and Azure cloud services.
Experience with data modeling and dbt.
Programming experience in JavaScript and Python.
Experience with event streaming technologies is a plus.
Clear and confident communicator.
Highly organized with time management skills.

Benefits

A competitive package including share options.
Flexible working arrangements.
A generous holiday allowance.
MacBook and home office equipment allowance.
Cycle to work scheme.
1 week of volunteering for a cause you care about.
Enhanced maternity, paternity, and adoption leave.

Snowplow

Snowplow is a global leader in customer data infrastructure (CDI) for AI, empowering organizations to harness and maximize the value of their customer behavioral data. The company supports businesses like Burberry, Strava, and AutoTrader in collecting and managing real-time, structured, and unstructured data within their cloud data platforms. With a focus on transforming how data-driven organizations utilize customer insights for AI-driven marketing, product development, and fraud detection, Snowplow is at the forefront of the data revolution. Following a successful $40 million Series B funding round, Snowplow is looking for innovative individuals to join their team and help shape the future of customer data management.

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