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Account Executive - DaaS, data science and machine learning teams

Strategi.biz

Account Executive - DaaS, data science and machine learning teams

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Anywhere in North America

    • Core quota-carrying salesperson.
    • This role will report to the VP of Business Development.

    Opportunity to:

    • help hundreds of organizations with high-quality places data
    • work with top data science and machine learning teams (our customers)
    • become an expert in data products and value proposition
    • work with an amazing team
    • be one of the first 30 people in a very fast-growing company

    About you:

    • 5+ years experience, with 3+ years successful track record selling in SaaS, compute, or data
    • some start-up experience
    • have a go-getter attitude and walk through walls
    • highly organized and able to adapt to changing priorities in a fast-paced environment
    • impeccable customer skills: communication, empathy, integrity
    • proven success in lead generation, prospecting, negotiation and closing complex sales cycles
    • at least 80% of the people you have worked with put you in the top 10% of people they have worked with

    About this Client:

    • This client is a B2B data company that sells data about physical places in the world to data scientists and machine learning engineers.
    • Their mission is to make the world’s data open for innovation. Uses of our data so far include:
    • - Map out places which could provide food or shelter during natural disasters
    • - Inform equity trading decisions
    • - Understand how quickly an area subject to a natural disaster recovers
    • - Determine how far people will travel to restaurants based on the type of cuisine
    • - Retail real estate site selection
    • - Create advertising audiences
    • - Quantify the effectiveness of advertising campaigns
    • - In-app personalization

    This client raised a $20 million Series A in 2017 and currently profitable.

    The company headquartered in San Francisco with offices in Denver and New York City. 40% of the team is remote.