- Get a taste of a young and rapidly growing company
- Learn how Sales Development and operations work
- Gain insight in tech sales processes and best practices
- Build a foundational knowledge of inbound and outbound sales processes
- Understand how B2B companies build and expand their customer base
- Gather prospecting intelligence to help build pipeline faster
- Collaborate with Sales Development Representatives on their prospecting journey
- Enrich data by identifying buying persona’s and entering them in Salesforce
- Triage, segment, and clean inbound leads to support sales prospecting efforts
Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Excitement for sales, and learning complex sales methodologiesDedication and passion for technologyStrong problem solving and ability to learn quickly in a dynamic environmentAvailability for 6 months minimumEnglish at work proficiency level, additional language is preferredHigh energy self starter ready to take on anything to learn and be part of the teamDesired level: 4th year undergraduate
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Sales Development Representative Intern in London employer: Snowflake
At Snowflake, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As an Account Executive in Sales, you'll have the opportunity to drive significant enterprise deals while collaborating with talented teams in a fast-paced environment that values growth and adaptability. With a commitment to employee development and a focus on redefining how work gets done, Snowflake offers a unique chance to make a meaningful impact in the AI and data infrastructure space.